Lotka and information science

Voos, Henry

doi:10.1002/asi.4630250410

Cited by 67 publications

(39 citation statements)

References 2 publications

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“…Scientific productivity, measured by number of papers authored, has had a long history of study in bibliometrics, with the articles by Lotka (16) and Shockley (17) being famous early examples. Both of these authors found that the number of papers produced by scientists had a ''fat-tailed'' distribution, in which a small number of scientists produced a very large number of papers, a result that has since been confirmed by others (18,19), and which is seen in our own data as well (11,12).…”

Section: Statistical Properties Of Coauthorship Networksupporting

confidence: 84%

Coauthorship networks and patterns of scientific collaboration

Newman

2004

Proc. Natl. Acad. Sci. U.S.A.

1,573

1,045

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By using data from three bibliographic databases in biology, physics, and mathematics, respectively, networks are constructed in which the nodes are scientists, and two scientists are connected if they have coauthored a paper. We use these networks to answer a broad variety of questions about collaboration patterns, such as the numbers of papers authors write, how many people they write them with, what the typical distance between scientists is through the network, and how patterns of collaboration vary between subjects and over time. We also summarize a number of recent results by other authors on coauthorship patterns.

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Section: Statistical Properties Of Coauthorship Networksupporting

confidence: 84%

Coauthorship networks and patterns of scientific collaboration

Newman

2004

Proc. Natl. Acad. Sci. U.S.A.

1,573

1,045

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“…Our study covers both the leading journals in the business ethics discipline, viz., Business Ethics Quarterly and Journal of Business Ethics. We use a comprehensive data set that includes all research Bino et al (2005) Economics a Estimated concentration pattern relatively more diffused than predicted Chung and Cox (1990) Finance Estimated and predicted patterns very close Accounting Estimated and predicted patterns very close Chung and Puelz (1992) Risk Management Estimated and predicted patterns very close Cox and Chung (1991) Economics Estimated and predicted patterns very close Gupta et al (1998) Physics b Estimated and predicted patterns very close Murphy (1973) Humanities Estimated and predicted patterns very close Radhakrishnan and Kernizan (1979) Computer Science Estimated concentration pattern relatively more diffused than predicted Schorr (1975) Map librarianship Estimated and predicted patterns very close Schorr (1974) Library Science Estimated concentration pattern relatively more diffused than predicted Subramanyam (1979) Computer Science Estimated and predicted patterns very close Voos (1974) Information Science Estimated concentration pattern relatively more diffused than predicted Worthen (1978) Medicine Estimated concentration pattern relatively more diffused than predicted a Studies only economics journals based in India. b Studies only physics journals based in India.…”

Section: Introductionmentioning

confidence: 84%

Patterns of Research Productivity in the Business Ethics Literature: Insights from Analyses of Bibliometric Distributions

Talukdar

2010

J Bus Ethics

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“…Many of these studies have attempted to predict productivity in IS and other fields from the perspective of bibliometric analysis in general as well as Lotka and other publication distributions in particular (e.g., [GUPTA & & AL., 1998;GUPTA & KARISIDDAPPA, 1996;NATH & JACKSON, 1991;RAO, 1980;RADHAKRISHNAN & KERNIZAN, 1979;VOOS, 1974]). …”

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confidence: 97%

Determinants of faculty research productivity in information systems: An empirical analysis of the impact of academic origin and academic affiliation

et al. 2008

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This manuscript provides guidance to Deans and other academic decision makers in the hiring process and dispels the validity of a widely held assumption commonly used as a decision factor in the selection process. This paper investigates: (a) whether graduates of prestigious information systems (IS) doctoral programs (graduates with high-status academic origins) are more likely to be successful in their academic careers (as measured by research productivity) than graduates of less prestigious programs, (b) whether IS faculty who are employed by esteemed universities (faculty with high-status academic affiliations) are more productive researchers than IS faculty employed by lower-status institutions, and (c) examines faculty productivity in terms of Lotka's Law [LOTKA, 1926]. The findings indicate that in the IS field, productivity does not follow a Lotka distribution. Moreover, our study also shows that academic affiliation is a significant determinant of research productivity in terms of quantity (as measured by publication counts) and quality (as measured by citation counts). Contrary to common expectations, however, the analysis shows that the status of a faculty member's academic origin is not a significant determinant of research productivity in the field of information systems. Therefore, continued reliance on academic pedigree as a primary criterion for hiring decisions may not be justified in the IS discipline.Research productivity, usually measured by the number of articles published in quality journals, is a primary criterion for evaluating faculty at research-oriented business schools, particularly with respect to merit raises and promotion and tenure

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Lotka and information science

Cited by 67 publications

References 2 publications

Coauthorship networks and patterns of scientific collaboration

Coauthorship networks and patterns of scientific collaboration

Patterns of Research Productivity in the Business Ethics Literature: Insights from Analyses of Bibliometric Distributions

Determinants of faculty research productivity in information systems: An empirical analysis of the impact of academic origin and academic affiliation

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