bibliometric analysis using ‘compendex cd’ analys… · bibliometrics is the statistical...

International Journal of Library and Information Science (IJLIS), ISSN: 2277 – 3533 (Print)

ISSN: 2277 – 3584 (Online) Volume 4, Issue 1, January-April 2015, pp 88-101 © IAEME

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BIBLIOMETRIC ANALYSIS USING ‘COMPENDEX - CD’

P. Dhanasekaran

Assistant Librarian, Guindy Campus Library,

University of Madras, Chennai- 600 005

ABSTRACT

The paper examines the literature growth of automobiles studies using bibliometric analysis.

It gives a catalyst view of automobile studies made by many scientific scholars. The study

used COMPENDEX–CD, a collection of literature on engineering studies, for analyzing the

literature growth, authorship pattern, spatial distribution of literature and language. The

study found that there is a copious study on automobile and further it is increasing drastically;

single authored with English language published moiré studies; authorship pattern has found

significant contribution in the growth of automobile studies.

Keywords: Scientific Communication, Automobile Studies, COMPENDEX, Authorship

Pattern.

THE CONTEXT

Scientific research studies are growing at faster rate and communicating research

results through publications have become enormous and complex. Scientific information

generated in a subject is an index of science and scientific research being carried out in any

discipline. Scientific research, effectiveness and performance, can be realised only through a

proper communication channels. It is clear that science and scientific communication have

close nexus with each other vice versa. The research outputs are used as yardstick for

measuring the quality and quantity of research work done in a subject concerned. During the

last few years, bibliometric analysis has been increasingly used among the scientific

community and is being used to evaluate the research performance of the scientists and the

growth of various disciplines of science. Therefore it implies and induces to examine the

nature and extent of contribution made by the scientists of a particular discipline. Today,

bibliometric analysis becomes an integral part of academic discipline and bounteous research

works are being carried out for a quantitative study of the various aspects of literature of a

given subject.

INTERNATIONAL JOURNAL OF LIBRARY AND

INFORMATION SCIENCE (IJLIS)

ISSN: 2277 – 3533 (Print)

ISSN: 2277 – 3584 (Online)

Volume 4, Issue 1, January - April (2015), pp. 88-101

© IAEME: www.iaeme.com/IJLIS.asp

Journal Impact Factor (2015): 7.8550 (Calculated by GISI),

www.jifactor.com

IJLIS

© I A E M E



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BIBLIOMETRICS: AN OVERVIEW

Bibliometrics is of recent origin and relatively a new branch of academic study, which

emerged as a research front in its own way in Information Science. The terms like

‘Librametrics’, ‘Bibliometrics’, ‘Informetrics’ and ‘Scientometrics’ have been used

interchangeably in the academic field in order to examine the growth of literature in a

discipline and other aspects of literature quantitatively.

Bibliometrics is the statistical analysis and bibliographies data, commonly focusing

on citation analysis of research outputs and publications, i.e. how many times research

outputs and publications are being cited. It is becoming an increasingly important way to

measure and assess research impact of individuals, group of individuals and institutions.

Many attempts have been made to define the term ‘bibliometrics’ and its analogous terms

since the use of the term ‘statistical bibliography’ by Hulme (1923).

The term ‘Librametry’, coined by S.R. Ranganathan (1948), is to denote

“Measurement of various library activities and services by using mathematical and statistical

techniques”. Raising (1962), defined it as “The assembling and interpretation of statistics

relating to books and periodicals to demonstrate historical movements, to determine national

and universal research, and to ascertain in many local situations the general use of books and

journals”. According to Merton and Garfield (1963), bibliometrics is a “Field of inquiry

given over to the quantitative analysis of science and scientific field”. The British Standard

Glossary of Documentation of Terms (1976) describes bibliometrics as the study of “the use

of documents and patterns of publication in which mathematical and statistical methods have

been applied”, which is basically similar to Pritchard’s definition (1969).

Bibliometrics: Genesis and Development

Bibliometrics, the quantification of bibliographical data, evolved from the efforts of

early twentieth century document lists to apply mathematical and statistical analysis to

bibliographical units. Cole and Eales (1917) study on the “The History of Comparative

Anatomy Part-1: A statistical Analysis” is considered to be the first bibliometric study, where

for the first time in 1917, the expression ‘Statistical Analysis” has been used in the literature.

Hulme (1923) was the first to use the expression ‘Statistical bibliography’ and later it was

used by many others. Gross and Gross (1927) study has been considered to be the third study

based on citations. After Hulme, the term statistical bibliography was used by Henkle (1938)

in his article “The Periodical literature of Biochemistry” and Gosnell (1943) in his

dissertation and latter in his article (1984). As the term was considered “very clumsy, not

very descriptive, and can be confused with statistics itself or bibliographies on statistics”,

hence Pritchard (1969), suggested the word ‘Bibliometrics’ in preference to statistical

bibliography. Hence the term bibliometrics is of recent origin.

Application of Bibliometrics

Bibliometric studies are mostly empirical in nature and they are mostly centered on

presentation of facts and data. Bibliometric research includes studies pertaining to scattering

of articles over journals, growth of literature, obsolescence of documents, productivity and

impact of research, distribution of scientific publications by country, by language, citation

studies, and so on. Most of these studies are pertaining to countries, user groups, institutions,

disciplines and documents. It has recently enlarged into informetrics. It covers all quantitative

analysis of information transfer, irrespective of the media. Bibliometrics furnishes possible



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methods by which significant features of literature may be delineated and its working

monitored. In fact, bibliometrics has grown out of the realisation that literature is growing

and changing at a rate with which no librarian or information worker or a scientist equipped

with traditional bibliographic methods and skills could keep abreast. The Bibliometric

analysis has received adequate attention in the recent years and it has been widely applied to

evaluate the research performance of the scientists and the growth of various disciplines of

science. Further, bibliometrics could be used in the identification of emerging research areas.

Bibliometric techniques are now being used for a variety of purposes like determination of

various scientific indicators, evaluation of scientific output, selection of journals for libraries

and even forecasting potential Nobel Laureates. The popularity in the adaptation of

bibliometric techniques in various disciplines stimulated stupendous growth of literature on

bibliometrics and its related areas. Bibliometric techniques are now being vigorously pursued

and with the result, it has been found that one-fourth of all the articles published in Library

and Information Science Periodicals are on bibliometrics and its related topics. It has also

been found that many of the Social Science periodicals are also carrying a large number of

articles on bibliometrics.

LITERATURE SURVEY

There are large number of studies have been carried out in bibliometric analysis and

significant studies are reviewed here: Todorov (1989) has proposed a new bibliographic

method for representing links between sub-fields as defined by a classification scheme which

has been applied to describe the internal links with in the field of Condensed Matter Physics

using the Physics Abstracts database 1984. Begum and Rajendra (1990) analysed the Indian

Zoological science literature covering the period 1975-1984 by extracting the data from

‘Indian Science Abstracts’. The study identified the authorship pattern, collaborative research

trend in the field of Zoological sciences and compared the results with the authorship pattern

in other scientific fields. Similarly, authorship pattern and collaborative research in

Psychology has been analysed by Karisiddappa, Maheswarappa and Shirol (1990) based on

the data collected from ‘Psychological Abstracts’ for the year 1988 which revealed the trend

towards the multiple authorship and varies from one subject field to another subject. Martin

(1991) has made a bibliometric assessment of UK scientific performance based on the

CHI/NSF Science Literature Indicators data-base and suggested more consistent and realistic

set of indicators in assessing the scientific performance. Sengupta and Lalitakumari (1991)

analysed AIDS literature published during 1976-1986 and identified its international channel

of communication, medium of communication, contributing countries, authorship trends and

so on. While analysing the bibliographic data from 430 journal articles on Liquid Crystals

covered in 'Physics Abstracts', Singh and Arunachalam (1991) found that Liquid Crystal

literature is developing and the share of Soviet Union is rising fast and USA is on declining

trend. The output of female researchers in Iceland in the field of Life Sciences relative to that

of male covering the period 1980-2000 has been analysed by Lewison (2001), which reveals

that there is no significant difference in the quality of female and male research output as

measured by journal impact categories or by citations. Rai, Naresh Kumar and Madan (2001)

studied the trends in research in the field of Science and Technology in India from different

faculties over the period 1990-1998 and reveal that there is a noticeable shift in the research

from basic sciences to technology. Considering Bradford law, an analysis of Mexican



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research in Health Sciences was carried out by De Arenas, Castanos-Lomnitz and Licea

(2002).

RESEARCH PROBLEM

Bibliometric analysis of scientific publications is an important aspect of research endeavour

in Information Science in recent years. It could be attributed to the fact that bibliometric

studies are used to identify the pattern of publications, authorship, citations, secondary

journal coverage, and so on. These factors can give an insight into the dynamics of a subject,

which consequently leads to better information handling and management. Bibliometric

analysis has received an adequate attention and it has been widely applied to evaluate the

research performance of the scientists and the growth of various disciplines. Further, it could

be noted that bibliometric data could be used in the identification of emerging research areas,

and in the evaluation of research performance of individual scientists, research groups and

countries. It aims to integrate the cognitive or intellectual structure of research with a view to

appraise the relations among the authors, institutions, and journal articles and as a means of

assisting the peer review procedure. Bibliometric analysis of literature in various disciplines

has been carried out by using primary journals or secondary sources to examine the

quantitative aspects of literature growth in a particular field of knowledge. Quantitative

measurement of publications, citations and other parameters have been largely applied and

used in evaluating scientific research. Hence, it is proposed to study quantitatively the

literature published on Automobile by using the database namely Compendex in CD-ROM.

OBJECTIVES

The objectives of the research study are:

1. To examine the growth of literature in Automobile research published during 2000-

2012.

2. To identify and analyse the country-wise production of Automobile research output.

3. To analyse the authorship patterns and examine the extent of research collaboration.

4. To study the implications of bibliometrics laws on Automobile research.

METHOD AND MATERIALS

The Compendex-CD (Engineering Index in CD-ROM), is identified as the collection

of various studies on Automobile research. CD covers several hundreds of the leading

Engineering journals providing information for professionals interested in engineering

aspects. Major subjects covered in the Compendex-CD are Electronics, Communication

engineering, fiber optics, networking, Automobile etc. For the purpose of analysis, FoxPro

database system has been used to classify and quantify the extracted data. In addition to the

frequency distribution and percentage analysis, the following statistical tools and bibliometric

indicators have been employed in the process of analysis and interpretation of data.

RESULTS AND DISCUSSION

Table 1 shows the year wise distribution of Automobile records. The number of

articles published 2000-2012 has been taken for the analysis of the study. The number articles



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published gradually increased from 2000 to 2006 and after onwards decreased to year 2002.

The average number of articles published per is 1190 articles.

Table 1: Year-wise distribution of records

S.No Year Number of Articles Percentage

1 2000 937 6.0

2 2001 1477 9.5

3 2002 1310 8.5

4 2003 1032 6.7

5 2004 1047 6.8

6 2005 1386 9.0

7 2006 1971 12.7

8 2007 1716 11.1

9 2008 1521 9.8

10 2009 958 6.2

11 2010 959 6.2

12 2011 840 5.4

13 2012 326 2.1

Total 15481 100.0

Average number of articles per year = 15481/13 = 1190 articles.



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Authorship pattern

Table 5.2 represents the authorship pattern in percentage wise. According to the

classification of authors, One-third of contributed by single author followed by one-fourth of

contributed by two authors. About 20% of the articles (three authors) got the third position.

Table 2: Authorship Pattern

S.No No. of authors No. of articles Percentage

1 Single Author 5248 33.9

2 Two Authors 3890 25.1

3 Three Authors 3007 19.4

4 Four Authors 1855 12.0

5 Five Authors 927 6.0

6 Information Tit Bits 535 3.6

Total 15481 100.0

Year- Wise Authorship Pattern

Table 3 indicates the authorship pattern and year wise contribution of articles. It is seen from

the table, 795 articles published by single author in the year 2006. Three fourth of the

contributions are single and two and three authors collaboration.



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Table 3: Distribution of year wise authorship pattern

Year One author Two author Three author Four author Five author Six author Total

2000 365 256 156 87 55 39 938

2001 459 399 307 184 64 64 1477

2002 364 348 260 171 79 88 1310

2003 379 280 182 106 41 44 1032

2004 431 240 193 116 36 31 1047

2005 561 315 241 143 95 31 1386

2006 795 511 327 220 93 25 1971

2007 526 443 350 211 142 44 1716

2008 447 360 336 218 119 41 1521

2009 292 242 193 125 67 39 958

2010 275 238 205 130 63 48 959

2011 259 184 194 97 54 52 840

2012 96 76 66 51 24 14 327

Total 5248 3890 3007 1855 927 535 15481

Document type distribution

Table 4: Document-wise Distribution of Records

S.No. Type of Document No. of articles Percentage

1 Conference Articles 3793 24.5

2 Conference Proceedings 357 2.3

3 Conference Review 11 .1

4 Dissertation 1 .0

5 Journal Articles 9264 59.8

6 Monograph Chapter 12 .1

7 Conference Papers 1905 12.3

8 Preprint 6 .0

9 Report Review 108 .7

10 Unpublished Preprint 24 .2

Total 15481 100.0

Normally scientific research appears in Journal first, and then finds plays in

conference. It is seen from the table 4 that nearly 60% of articles (9264) appear in journal

articles, one fourth of article 44 % appears as conference articles.

Article treatment code

The articles are grouped based on the nature of their contents. The major categories listed are.

T - Theoretical

G - General Review

A - Applications

X - Experimental

M - Management aspects



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E - Economic/Cost data/Market Survey

H - Historical

Table 5 shows the different categories of articles. Nearly 3,448 of articles on

Automobile i.e. 22.3% are General review in nature. It is followed by Experimental 14%,

theoretical 12.4%, but in combination nature of articles is more in Automobile research area.

From the table, more than 4000 articles are from applications with other nature. In overall

view General review and Application oriented articles are more in the study.

Table 5: Article treatment code

Description Frequency Percentage

A!(Applications)^G!(General Review)^T!(Theoretical 4 .0

A!(Applications)^G!(General Review)| 50 .3

A!(Applications)^M!(Management Aspects)| 2 .0

A!(Applications)^T!(Theoretical)^X!(Experimental)| 12 .1

A!(Applications)^T!(Theoretical)| 38 .2

A!(Applications)^X!(Experimental)| 16 .1

A!(Applications)| 60 .4

A^(Applications)Ê^(Economic/Cost Data/Market Surv 43 .3

A^(Applications)^G^(General Review)^H^(Historical) 3 .0

A^(Applications)^G^(General Review)^L^(Literature 7 .0

A^(Applications)^G^(General Review)^M^(Management 12 .1

A^(Applications)^G^(General Review)^N^(Numeric/Sta 1 .0

A^(Applications)^G^(General Review)^N^(Numerical)| 1 .0

A^(Applications)^G^(General Review)^T^(Theoretical 181 1.2

A^(Applications)^G^(General Review)^X^(Experimenta 86 .6

A^(Applications)^G^(General Review)| 964 6.2

A^(Applications)^H^(Historical)^G^(General Review) 1 .0

A^(Applications)^H^(Historical)^X^(Experimental)| 2 .0

A^(Applications)^H^(Historical)| 1 .0

A^(Applications)^L^(Literature Review/Bibliography 5 .0

A^(Applications)^M^(Management Aspects)^T^(Theoret 2 .0

A^(Applications)^M^(Management Aspects)| 15 .1

A^(Applications)^N^(Numeric/Statistical)^T^(Theore 1 .0

A^(Applications)^N^(Numeric/Statistical)^X^(Experi 1 .0

A^(Applications)^N^(Numeric/Statistical)| 3 .0

A^(Applications)^N^(Numerical)^X^(Experimental)| 2 .0

A^(Applications)^T^(Theoretical)Ê^(Economic/Cost 4 .0

A^(Applications)^T^(Theoretical)^G^(General Review 2 .0

A^(Applications)^T^(Theoretical)^M^(Management Asp 1 .0

A^(Applications)^T^(Theoretical)^X^(Experimental)| 348 2.2

A^(Applications)^T^(Theoretical)| 863 5.6

A^(Applications)^X^(Experimental)Ê^(Economic/Cost 2 .0

A^(Applications)^X^(Experimental)^G^(General Revie 3 .0

A^(Applications)^X^(Experimental)^L^(Literature Re 1 .0

A^(Applications)^X^(Experimental)^T^(Theoretical)| 18 .1

A^(Applications)^X^(Experimental)| 943 6.1



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A^(Applications)| 980 6.3

E!(Economic/Cost Data/Market Survey)^G!(General Re 6 .0

E^(Economic/Cost Data/Market Survey)Â^(Applicatio 3 .0

E^(Economic/Cost Data/Market Survey)^G^(General Re 51 .3

E^(Economic/Cost Data/Market Survey)^M^(Management 10 .1

E^(Economic/Cost Data/Market Survey)^N^(Numeric/St 1 .0

E^(Economic/Cost Data/Market Survey)^T^(Theoretica 9 .1

E^(Economic/Cost Data/Market Survey)^X^(Experiment 4 .0

E^(Economic/Cost Data/Market Survey)| 26 .2

G!(General Review)Â!(Applications)| 2 .0

G!(General Review)^L!(Literature Review/Bibliograp 2 .0

G!(General Review)^M!(Management Aspects)| 6 .0

G!(General Review)^T!(Theoretical)^X!(Experimental 2 .0

G!(General Review)^T!(Theoretical)| 8 .1

G!(General Review)^X!(Experimental)| 4 .0

G!(General Review)| 98 .6

G^(General Review)Â^(Applications)Ê^(Economic/Co 4 .0

G^(General Review)Â^(Applications)^L^(Literature 1 .0

G^(General Review)Â^(Applications)^M^(Management 2 .0

G^(General Review)Â^(Applications)^T^(Theoretical 4 .0

G^(General Review)Â^(Applications)^X^(Experimenta 20 .1

G^(General Review)Â^(Applications)| 114 .7

G^(General Review)Ê^(Economic/Cost Data/Market Su 12 .1

G^(General Review)^H^(Historical)^M^(Management As 1 .0

G^(General Review)^H^(Historical)| 22 .1

G^(General Review)^L^(Literature Review/Bibliograp 37 .2

G^(General Review)^M^(Management Aspects)Â^(Appli 1 .0

G^(General Review)^M^(Management Aspects)Ê^(Econo 1 .0

G^(General Review)^M^(Management Aspects)^T^(Theor 1 .0

G^(General Review)^M^(Management Aspects)^X^(Exper 1 .0

G^(General Review)^M^(Management Aspects)| 113 .7

G^(General Review)^N^(Numeric/Statistical)| 3 .0

G^(General Review)^N^(Numerical)| 1 .0

G^(General Review)^T^(Theoretical)Â^(Applications 3 .0

G^(General Review)^T^(Theoretical)^M^(Management A 1 .0

G^(General Review)^T^(Theoretical)^X^(Experimental 105 .7

G^(General Review)^T^(Theoretical)| 310 2.0

G^(General Review)^X^(Experimental)Â^(Application 15 .1

G^(General Review)^X^(Experimental)^T^(Theoretical 1 .0

G^(General Review)^X^(Experimental)| 206 1.3

G^(General Review)| 3448 22.3

H^(Historical)Â^(Applications)^G^(General Review) 1 .0

H^(Historical)Â^(Applications)| 1 .0

H^(Historical)| 7 .0

L^(Literature Review/Bibliography)Â^(Applications 1 .0

L^(Literature Review/Bibliography)^G^(General Revi 1 .0



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L^(Literature Review/Bibliography)^M^(Management A 3 .0

L^(Literature Review/Bibliography)^T^(Theoretical) 16 .1

L^(Literature Review/Bibliography)^X^(Experimental 13 .1

L^(Literature Review/Bibliography)| 2 .0

M!(Management Aspects)| 4 .0

M^(Management Aspects)Â^(Applications)^T^(Theoret 2 .0

M^(Management Aspects)Â^(Applications)^X^(Experim 1 .0

M^(Management Aspects)Â^(Applications)| 11 .1

M^(Management Aspects)Ê^(Economic/Cost Data/Marke 2 .0

M^(Management Aspects)^G^(General Review)| 1 .0

M^(Management Aspects)^T^(Theoretical)| 5 .0

M^(Management Aspects)^X^(Experimental)| 1 .0

M^(Management Aspects)| 55 .4

N^(Numeric/Statistical)Â^(Applications)^T^(Theore 1 .0

N^(Numeric/Statistical)Â^(Applications)| 1 .0

N^(Numeric/Statistical)^T^(Theoretical)^X^(Experim 3 .0

N^(Numeric/Statistical)| 1 .0

N^(Numerical)^T^(Theoretical)^X^(Experimental)| 2 .0

N^(Numerical)| 1 .0

T!(Theoretical)^X!(Experimental)| 20 .1

T!(Theoretical)| 42 .3

T^(Theoretical)Â^(Applications)^G^(General Review 5 .0

T^(Theoretical)Â^(Applications)^M^(Management Asp 1 .0

T^(Theoretical)Â^(Applications)^X^(Experimental)| 99 .6

T^(Theoretical)Â^(Applications)| 209 1.4

T^(Theoretical)^B^(Biographical)| 4 .0

T^(Theoretical)Ê^(Economic/Cost Data/Market Survey 5 .0

T^(Theoretical)^G^(General Review)Â^(Applications 1 .0

T^(Theoretical)^G^(General Review)| 3 .0

T^(Theoretical)^L^(Literature Review/Bibliography) 1 .0

T^(Theoretical)^M^(Management Aspects)Ê^(Economic 2 .0

T^(Theoretical)^M^(Management Aspects)| 3 .0

T^(Theoretical)^X^(Experimental)Â^(Applications)| 31 .2

T^(Theoretical)^X^(Experimental)^G^(General Review 3 .0

T^(Theoretical)^X^(Experimental)^L^(Literature Rev 1 .0

T^(Theoretical)^X^(Experimental)^N^(Numeric/Statis 1 .0

T^(Theoretical)^X^(Experimental)| 984 6.4

T^(Theoretical)| 1926 12.4

X!(Experimental)^T!(Theoretical)| 2 .0

X!(Experimental)| 36 .2

X^(Experimental)Â^(Applications)^G^(General Revie 5 .0

X^(Experimental)Â^(Applications)^N^(Numeric/Stati 5 .0

X^(Experimental)Â^(Applications)^T^(Theoretical)| 6 .0

X^(Experimental)Â^(Applications)| 243 1.6

X^(Experimental)Ê^(Economic/Cost Data/Market Surv 16 .1

X^(Experimental)^G^(General Review)Â^(Application 12 .1



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X^(Experimental)^G^(General Review)^L^(Literature 1 .0

X^(Experimental)^G^(General Review)| 17 .1

X^(Experimental)^H^(Historical)| 1 .0

X^(Experimental)^L^(Literature Review/Bibliography 1 .0

X^(Experimental)^M^(Management Aspects)| 1 .0

X^(Experimental)^N^(Numeric/Statistical)^T^(Theore 1 .0

X^(Experimental)^N^(Numeric/Statistical)| 3 .0

X^(Experimental)^T^(Theoretical)Â^(Applications)| 26 .2

X^(Experimental)^T^(Theoretical)| 115 .7

X^(Experimental)| 2173 14.0

Total 15481 100.0

Language wise distribution of records

Table 6: Language wise distribution of records

Table 7 indicates language wise distributions of records. From the table shows that

91% articles are of English language and followed by Russian language.

S.No Languages Frequency Percentage

1 Chinese 200 1.3

2 Croation 1 .0

3 English^French^German 2 .0

4 English^French^Japanese 1 .0

5 English^French^Spanish 2 .0

6 English^French 12 .1

7 English^German 84 .5

8 English^Japanese 54 .3

9 English^Serbocroatian 1 .0

10 English^Slovene 1 .0

11 English^Spanish 2 .0

12 English 14087 91.0

13 Finnish 1 .0

14 FrenchÊnglish 1 .0

15 French 49 .3

16 GermanÊnglish 96 .6

17 German 236 1.5

18 Italian 4 .0

19 JapaneseÊnglish 4 .0

20 Japanese 296 1.9

21 Russian 336 2.2

22 SlovenianÊnglish 3 .0

23 Slovenian 1 .0

24 Spanish 6 .0

25 Turkish 1 .0

Total 15481 100.0



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Author productivity

Table 8 indicates the author productivity of articles in descending order. The highest

number of articles (472) published by Kimbertey, William.

Table 8: Author productivity

S.No. Authors Frequency Percentage

1 Kimberley, William 57 .4

2 Jost, Kevin 36 .2

3 Shahmanesh, Nargess 33 .2

4 Bunting, Alan 25 .2

5 Buchholz, Kami 19 .1

6 Russell, Eric 19 .1

7 Glover, Mauric 16 .1

8 Crosse, Jesse 15 .1

9 Irving, Bob 15 .1

10 Scarlett, Michael 14 .1

11 Martin, Norman 13 .1

12 Zwahlen, Helmut T. Schnell, Thomas 13 .1

13 Siuru, Bill 12 .1

14 Eisenstein, Pau| 12 .1

15 Kochan, Anna 12 .1

16 Langdon, Ray 11 .1

17 Neal, B.L. 11 .1

18 Jacobson, Marcus 10 .1

19 Wyczalek, Floyd A. 10 .1

20 Takahashi, Wataru Nagata, Tatuo^Okada, Minoru^Sida,

Yoshiaki^Kuwayama, Tetuya

10 .1

21 Owen, Jean V. 10 .1

22 Morton, Ian 9 .1

23 Wagstaff, Ian 9 .1

24 Aronson, Robert B. 9 .1

25 Burman, Richard 9 .1

26 Rogers, Ken 8 .1

27 Diem, William 8 .1

28 Amann, Charles A. 8 .1

29 Sawyer, Christopher A. 8 .1

30 Noaker, Paula M. 7 .0

31 Birch, Stuar 7 .0

32 Bamsey, Ian 7 .0

33 Ashley, Steven 7 .0

34 Fenton, John 7 .0

35 Johnson, Peter K. 7 .0

36 McCormick, John 7 .0

37 Brooke, Lindsay 7 .0

38 Daniels, Jeff 7 .0

39 Barthorpe, Frances 7 .0



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40 O'Connor, Leo 6 .0

41 Yanik, Anthony J. 6 .0

42 Whitworth, Ben 6 .0

43 Mapleston, Peter 6 .0

44 Wigotsky, Victor 6 .0

45 Dwyer, John 6 .0

46 Miller, Bernie 6 .0

47 Mortimer, John 6 .0

48 Bannatyne, Ross 5 .0

49 Murray, Charles J. 5 .0

50 Catton, Elaine 5 .0

51 Chamberlain, Gary 5 .0

52 Kurihara, Yuki 5 .0

53 Mortimer, Rudolf G. 5 .0

54 Bailey, Jane M. 5 .0

55 Hsieh, Ching C.Oh,Kong Ping 5 .0

CONCLUDING REMARKS

It has been acknowledged by scientific community that bibliometric analysis has

served as an important tool in measuring the growth of literature of a concerned subject as

well as measuring the authors productivity through citation of their research papers. The

present study found that there are 15,481 contributions on Automobile research productivity

during the study period. The number articles published gradually increased for a certain

period afterwards declined significantly. Nearly 60% of articles (9264) appeared in journal

articles, one fourth of article (44%) appeared as conference articles. Nearly 3,448 of articles

on Automobile (22.3%) were General review in nature. It is followed by Experimental,

theoretical, but in combination nature of articles is more in Automobile research area. USA

has contributed the highest number of records followed by United Kingdom and Japan. India

has recorded only 13 articles. Majority of the articles were written in English language

followed by Russian language. The highest number of articles (472) published by Kimbertey,

William. Findings revealed that single authored studied are found more in comparison with

multiple authorship. The conclusion of the study demonstrates that bibliometric analysis is

highly valuable in the context of it examines the growth of a subject and determines

authorship pattern.

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