Contents of Scientometrics, Vol. 73, No. 2 (November 2007)

[Eugene Garfield]

Scientometrics, Vol. 73, No. 2 (November 2007) - NOVEMBER ISSUE

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CONTENTS


Jürgen Harald Jacob, Siegfried Lehrl, Andreas Wolfram Henkel
Early recognition of high quality researchers of the German psychiatry by 
worldwide accessible bibliometric indicators	117

Arthur M. Diamond, Jr., Robert J. Toth
The determinants of election to the Presidency of the American Economic 
Association: Evidence from a cohort of distinguished 1950’s economists	131

Lutz Bornmann, Ruediger Mutz, Hans-Dieter Daniel
Row-column (RC) association model applied to grant peer review	139

P. Senthilkumaran, A. Amudhavalli
Mapping of spices research in Asian countries	149

Quentin L. Burrell
Time-dependent aspects of co-concentration in informetrics	161

Marianne Gauffriau, Peder Olesen Larsen, Isabelle Maye, Anne Roulin-
Perriard, Markus von Ins
Publication, cooperation and productivity measures in scientific research
	175

Radu Munteanu, Marin Apetroae
Journal relatedness: An actor-actor and actor-objectives case study	215

Claude Robert, Concepción S. Wilson, Jean-François Gaudy, Charles-Daniel 
Arreto
The evolution of the sleep science literature over 30 years: A bibliometric 
analysis	231
 
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E-mail: siegfried.lehrl at uk.uni-erlangen.de

TITLE  : Early recognition of high quality researchers of the German 
psychiatry by worldwide accessible bibliometric indicators

AUTHOR : JÜRGEN HARALD JACOB, SIEGFRIED LEHRL, ANDREAS WOLFRAM HENKEL

SOURCE : Scientometrics, Vol. 73, No. 2 (November 2007)

ADDRESS: Department of Psychiatry and Psychotherapy, University of Erlangen-
Nuremberg, Erlangen (Germany)

Abstract
Background: Publication and citation rates mark the research activity and 
research quality of scientists. 
Question: Are bibliometric indicators valid instruments for early 
recognition of high quality researchers? 
Subjects and methods: The number of publications and citations of 26 
assistant, associate and full professors of German psychiatry born after 
1947 was analysed in their 30th and 31st year of age and between 1996 and 
2000. 
Results: 58% of the selected 30 or 31 year old scientists had at least one 
publication in a journal with an impact factor, 93% of these as first or 
single author. 42% in this age group were at least cited once. Publication 
and citation rates in the early stage of a career provide hints on the 
later bibliometric data and the academic degree of scientists. 
Conclusion: High quality researchers can be recognised early in their 
careers by means of worldwide accessible bibliometric indicators. 
 
Address for correspondence:
SIEGFRIED LEHRL
Psychiatric und Psychotherapeutic Clinic, University of Erlangen-Nuremberg
Schwabachanlage 6, D–91054, Erlangen, Germany
E-mail: siegfried.lehrl at uk.uni-erlangen.de

Scientometrics, Vol. 73, No. 2 (2007) 117–130
DOI: 10.1007/s11192-006-1729-x 
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E-mail: adiamond at mail.unomaha.edu

TITLE  :  The determinants of election to the Presidency of the American 
Economic Association: Evidence from a cohort of distinguished 1950’s 
economists

AUTHOR  : ARTHUR M. DIAMOND, JR.a, ROBERT J. TOTHb

SOURCE : Scientometrics, Vol. 73, No. 2 (November 2007)

ADDRESS : 
aDepartment of Economics, University of Nebraska at Omaha, Omaha, NE (USA)
bLicensing Division, infoUSA, INC., Omaha, NE (USA)

Abstract

Data have been collected on 55 members of the AEA Executive Committees for 
the years 1950–1960 (inclusive) on a variety of variables that measure the 
merit and non-merit characteristics of the economists. A logit is estimated 
in which the dependent variable is a dummy variable for whether an 
Executive Committee member was ever elected President of the American 
Economic Association (AEA). The number of publications and citations are 
important determinants of election. Receiving a PhD from one of the top 
three schools does not help and living in the South does not hurt. 
Economists who were older in 1956 were more likely to have eventually been 
elected to the AEA Presidency. 

Address for correspondence:
ARTHUR M. DIAMOND, Jr.
Department of Economics, University of Nebraska at Omaha
Omaha, NE 68182-0048, USA
E-mail: adiamond at mail.unomaha.edu

Scientometrics, Vol. 73, No. 2 (2007) 131–137
DOI: 10.1007/s11192-006-1747-8
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E-mail: bornmann at gess.ethz.ch

TITLE  :  Row-column (RC) association model applied to grant peer review

AUTHOR :  LUTZ BORNMANNa, RUEDIGER MUTZa, HANS-DIETER DANIELa,b

SOURCE : Scientometrics, Vol. 73, No. 2 (November 2007)

ADDRESS:
aProfessorship for Social Psychology and Research on Higher Education, 
Swiss Federal Institute of Technology Zurich, Zurich (Switzerland)
bEvaluation Office, University of Zurich, Zurich (Switzerland)

Abstract

In a recently published article, HARGENS & HERTING (2006) apply the row-
column (RC) association model to peer review to analyze the association 
between two referees’ recommendations and an editor’s decision at two 
scholarly journals. In the present study we analyze 1,954 applications to 
the Boehringer Ingelheim Fonds (B.I.F.) for doctoral and postdoctoral 
fellowships, which the B.I.F. evaluates in three stages (first stage: 
evaluation by an external reviewer; second stage: evaluation by an internal 
reviewer (staff member); third stage: final decision by the B.I.F. Board of 
Trustees). Using the RC association model, we show – in accordance with the 
results of HARGENS & HERTING (2006) – that a single latent dimension is 
sufficient to account for the association between (internal and external) 
reviewers’ recommendations and the fellowship award decision by the Board. 
This result indicates that the latent dimension underlying reviewers’ 
recommendations and the Board’s decisions reflects the merit of an 
application being evaluated. While the statistical analyses establish that 
overall, favorable evaluations by the reviewers correspond with favorable 
decisions by the Board (and vice versa), the ordering of the scale values 
yielded by the estimation of the RC association model also shows that 
internal reviewers’ recommendations have a greater influence on the Board’s 
decisions than recommendations by external reviewers.

Address for correspondence:
LUTZ BORNMANN
ETH Zurich, Professorship for Social Psychology and Research on Higher 
Education
Zaehringerstr. 24, CH-8092 Zurich, Switzerland
E-mail: bornmann at gess.ethz.ch

Scientometrics, Vol. 73, No. 1 (2007) 139–147
DOI: 10.1007/s11192-006-1797-y
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E-mail: senthilicri at rediffmail.com

TITLE :  Mapping of spices research in Asian countries

AUTHOR : P. SENTHILKUMARANa, A. AMUDHAVALLIb

SOURCE : Scientometrics, Vol. 73, No. 2 (November 2007)

ADDRESS: 
aIndian Cardamom Research Institute, Spices Board, Myladumpara, 
Kailasanadu, Kerala (India)
bDepartment of Information Science, University of Madras, Chepauk, Chennai, 
Tamil Nadu (India)

Abstract

This paper intends to observe the Asian R&D output on ‘Spices’ for the co-
relation between the Asian Countries and that of the sub-fields of Spices 
Research and the dynamic changes, if any, in their research priorities. The 
chosen study period is two decades: 1983–2002. Hort CD is the source 
database for this research. On these premises, the frequency of keywords 
found in the Descriptor Field of each record in the chosen database. 
Mapping technique is adopted for analysis using Data and Text Mining (DTM) 
software. This enabled to correlate the countries versus the subject 
priority amongst the Asian Countries during the study period. The 
inferences drawn are reported along with the interpretations.

Address for correspondence:
P. SENTHILKUMARAN
Indian Cardamom Research Institute, Spices Board
Myladumpara, Kailasanadu, 685 553, Kerala, India
E-mail: senthilicri at rediffmail.com

Scientometrics, Vol. 73, No. 1 (2007) 149–159
DOI: 10.1007/s11192-006-1738-9
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Email: q.burrell at ibs.ac.im

TITLE :  Time-dependent aspects of co-concentration in informetrics

AUTHOR : QUENTIN L. BURRELL

SOURCE : Scientometrics, Vol. 73, No. 2 (November 2007)

ADDRESS : Isle of Man International Business School, Douglas (Isle of Man)


Abstract

It is a well-known empirical fact that when informetric processes are 
observed over an extending period of time, the entire shape of the 
distribution changes. In particular, it has been shown that concentration 
aspects change. In this paper the recently introduced co-concentration 
coefficient (C-CC) is investigated via simple stochastic models of 
informetric processes to investigate its time-dependence. It is shown that 
it is important to distinguish between situations where the zero-producers 
can be counted and those where they cannot. A previously published data set 
is used to illustrate how the empirical C-CC develops in time and the 
general features are compared with those derived from the theoretical model.

Address for correspondence:
QUENTIN L BURRELL
Isle of Man International Business School, The Nunnery
Old Castletown Road, Douglas, Isle of Man IM2 1QB, via United Kingdom
Email: q.burrell at ibs.ac.im

Scientometrics, Vol. 73, No. 1 (2007) 161–174
DOI: 10.1007/s11192-007-1688-x
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E-Mail : mga at dtv.dk

TITLE :  Publication, cooperation and productivity measures in scientific 
research

AUTHOR : MARIANNE GAUFFRIAUa, PEDER OLESEN LARSENb, ISABELLE MAYEc, ANNE 
ROULIN-PERRIARDc, MARKUS VON INSc

SOURCE : Scientometrics, Vol. 73, No. 2 (November 2007)

ADDRESS:
aTechnical University of Denmark, Technical Knowledge Center of Denmark, 
D’ARC – DTU Analysis & Research Promotion Center, Lyngby (Denmark)
bHellerup (Denmark)
cCenter for Science and Technology Studies (CEST), Bern (Switzerland)
	
Abstract

The literature on publication counting demonstrates the use of various 
terminologies and methods. In many scientific publications, no information 
at all is given about the counting methods used. There is a lack of 
knowledge and agreement about the sort of information provided by the 
various methods, about the theoretical and technical limitations for the 
different methods and about the size of the differences obtained by using 
various methods. The need for precise definitions and terminology has been 
expressed repeatedly but with no success. Counting methods for publications 
are defined and analysed with the use of set and measure theory. The 
analysis depends on definitions of basic units for analysis (three chosen 
for examination), objects of study (three chosen for examination) and score 
functions (five chosen for examination). The score functions define five 
classes of counting methods. However, in a number of cases different 
combinations of basic units of analysis, objects of study and score 
functions give identical results. Therefore, the result is the 
characterization of 19 counting methods, five complete counting methods, 
five complete-normalized counting methods, two whole counting methods, two 
whole-normalized counting methods, and five straight counting methods. When 
scores for objects of study are added, the value obtained can be identical 
with or higher than the score for the union of the objects of study. 
Therefore, some classes of counting methods, including the classes of 
complete, complete-normalized and straight counting methods, are additive, 
others, including the classes of whole and whole-normalized counting 
methods, are non-additive. An analysis of the differences between scores 
obtained by different score functions and therefore the differences 
obtained by different counting methods is presented. In this analysis we 
introduce a new kind of objects of study, the class of cumulative-turnout 
networks for objects of study, containing full information on cooperation. 
Cumulative-turnout networks are all authors, institutions or countries 
contributing to the publications of an author, an institute or a country. 
The analysis leads to an interpretation of the results of score functions 
and to the definition of new indicators for scientific cooperation. We also 
define a number of other networks, internal cumulative-turnout networks, 
external cumulative-turnout networks, underlying networks, internal 
underlying networks and external underlying networks. The networks open new 
opportunities for quantitative studies of scientific cooperation.


Address for correspondence:
MARIANNE GAUFFRIAU
Technical University of Denmark, Technical Knowledge Center of Denmark
D’ARC – DTU Analysis & Research Promotion Center, DK–2800 Lyngby, Denmark
E-mail: mga at dtv.dk

Scientometrics, Vol. 73, No. 1 (2007) 175–214
DOI: 10.1007/s11192-007-1800-2
----------------------------------------------------

E-mail: marin.apetroae at uefiscsu.ro

TITLE : Journal relatedness: An actor-actor and actor-objectives case study

AUTHOR : RADU MUNTEANUa, MARIN APETROAEb

SOURCE : Scientometrics, Vol. 73, No. 2 (November 2007)

ADDRESS:
aTechnical University of Cluj-Napoca (Romania)
bExecutive Agency for Higher Education and Research Funding, Bucharest 
(Romania)

Abstract

Using the MACTOR (Matrix of Alliances and Conflicts: Tactics, Objectives 
and Recommendations) method, a set of 13 related journals covering the 
subject category “Chemistry, Multidisciplinary” was analyzed in terms of 
direct and indirect reciprocal influences (measured by relatedness indexes 
Rji), their positions towards a generic set of common objectives (total 
cites; impact factor; immediacy index; number of published articles; cited 
half life) and the convergences (Actors x Actors and Actors x Objectives) 
existing in the above-mentioned relatedness network. The study identified 4 
types of actors: dominant (3), independent (8), relay (1) and dominated 
(1). Maps of: influences and dependences between actors; convergence 
between actors; net distances between actors and actors-objectives 
relationships are presented, together with short interpretations. Defining 
scientific journals as actors on a specific “knowledge market”, identifying 
influences and dependences between them and positioning these journals 
towards a set of measurable objectives creates an interesting possibility 
to define “relationships of power” of a strategic nature and enables the 
introduction of more complex future-oriented scientometric analyses than 
those based solely on standard bibliometric indicators such as the impact 
factor.

Address for correspondence:
MARIN APETROAE
Executive Agency for Higher Education and Research Funding
1, Schitu Magureanu Blvd., sector 5, 050025 Bucharest, Romania
E-mail: marin.apetroae at uefiscsu.ro

Scientometrics, Vol. 73, No. 1 (2007) 215–230
DOI: 10.1007/s11192-007-1735-7
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E-mail: claude.robert at odontologie.univ-paris5.fr

TITLE : The evolution of the sleep science literature over 30 years: A 
bibliometric analysis

AUTHOR : CLAUDE ROBERTa, CONCEPCIÓN S. WILSONb, JEAN-FRANÇOIS GAUDYa, 
CHARLES-DANIEL ARRETOa

SOURCE : Scientometrics, Vol. 73, No. 2 (November 2007)

ADDRESS: 
aUniversité Paris Descartes, Laboratoire d’Anatomie Fonctionnelle, 
Montrouge (France)
bSchool of Information Systems, Technology and Management, University of 
New South Wales, Sydney, New South Wales (Australia)


Abstract

During the 1974–2004 period, the sleep literature had quadrupled (2384 
publications in 1974, and 9721 in 2004) while overall scientific 
productivity had only doubled. The set of the seven most productive 
countries (USA, Japan, United Kingdom, Germany, France, Canada and Italy) 
in sleep research, and the geographical region distribution remained stable 
over the three decades. On the other hand several indicators appeared in 
the sleep research literature during the 1990s: the increasing productivity 
of sleep researchers; the growing number of countries publishing on sleep; 
the continuous creation of sleep-focused journals; the scattering of sleep 
publication among increasingly more scientific journals; the turnover among 
the leading journals; and the emergence of new entities such as China, 
Turkey, and the European Union.

Address for correspondence:
CLAUDE ROBERT
Université Paris Descartes, Laboratoire d’Anatomie Fonctionnelle
1 rue Maurice Arnoux, 92 120 Montrouge, France
E-mail: claude.robert at odontologie.univ-paris5.fr

Scientometrics, Vol. 73, No. 1 (2007) 231–256
DOI: 10.1007/s11192-007-1780-2