-
Nicolaisen, J.: Citation analysis (2007)
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- Date
- 13. 7.2008 19:53:22
-
Fiala, J.: Information flood : fiction and reality (1987)
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- Source
- Thermochimica acta. 110(1987), S.11-22
-
Glänzel, W.: Bibliometrics-aided retrieval - where information retrieval meets scientometrics (2015)
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-
Su, Y.; Han, L.-F.: ¬A new literature growth model : variable exponential growth law of literature (1998)
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- Date
- 22. 5.1999 19:22:35
-
Van der Veer Martens, B.: Do citation systems represent theories of truth? (2001)
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- Date
- 22. 7.2006 15:22:28
-
Bookstein, A.: Informetric distributions : I. Unified overview (1990)
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- Date
- 22. 7.2006 18:55:29
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Bookstein, A.: Informetric distributions : II. Resilience to ambiguity (1990)
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- 22. 7.2006 18:55:55
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Larivière, V.; Archambault, V.; Gingras, Y.; Vignola-Gagné, E.: ¬The place of serials in referencing practices : comparing natural sciences and engineering with social sciences and humanities (2006)
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-
Vinkler, P.: Application of the distribution of citations among publications in scientometric evaluations (2011)
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- Abstract
- The ?-indicator (or ?v-indicator) of a set of journal papers is equal to a hundredth of the total number of citations obtained by the elite set of publications. The number of publications in the elite set P(?) is calculated as the square root of total papers. For greater sets the following equation is used: P(?v) = (10 log P) - 10, where P is the total number of publications. For sets comprising a single or several extreme frequently cited paper, the ?-index may be distorted. Therefore, a new indicator based on the distribution of citations is suggested. Accordingly, the publications are classified into citation categories, of which lower limits are given as 0, and (2n + 1), whereas the upper limits as 2n (n = 0, 2, 3, etc.). The citations distribution score (CDS) index is defined as the sum of weighted numbers of publications in the individual categories. The CDS-index increases logarithmically with the increasing number of citations. The citation distribution rate indicator is introduced by relating the actual CDS-index to the possible maximum. Several size-dependent and size-independent indicators were calculated. It has been concluded that relevant, already accepted scientometric indicators may validate novel indices through resulting in similar conclusions ("converging validation of indicators").
-
Pulgarin, A.; Gil-Leiva, I.: Bibliometric analysis of the automatic indexing literature : 1956-2000 (2004)
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- Abstract
- We present a bibliometric study of a corpus of 839 bibliographic references about automatic indexing, covering the period 1956-2000. We analyse the distribution of authors and works, the obsolescence and its dispersion, and the distribution of the literature by topic, year, and source type. We conclude that: (i) there has been a constant interest on the part of researchers; (ii) the most studied topics were the techniques and methods employed and the general aspects of automatic indexing; (iii) the productivity of the authors does fit a Lotka distribution (Dmax=0.02 and critical value=0.054); (iv) the annual aging factor is 95%; and (v) the dispersion of the literature is low.
-
Cothey, V.: Web-crawling reliability (2004)
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Della Mea, V.; Demartini, G.; Di Gaspero, L.; Mizzaro, S.: Measuring retrieval effectiveness with Average Distance Measure (ADM) (2006)
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Jacso, P.: Testing the calculation of a realistic h-index in Google Scholar, Scopus, and Web of Science for F. W. Lancaster (2008)
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- Abstract
- This paper focuses on the practical limitations in the content and software of the databases that are used to calculate the h-index for assessing the publishing productivity and impact of researchers. To celebrate F. W. Lancaster's biological age of seventy-five, and "scientific age" of forty-five, this paper discusses the related features of Google Scholar, Scopus, and Web of Science (WoS), and demonstrates in the latter how a much more realistic and fair h-index can be computed for F. W. Lancaster than the one produced automatically. Browsing and searching the cited reference index of the 1945-2007 edition of WoS, which in my estimate has over a hundred million "orphan references" that have no counterpart master records to be attached to, and "stray references" that cite papers which do have master records but cannot be identified by the matching algorithm because of errors of omission and commission in the references of the citing works, can bring up hundreds of additional cited references given to works of an accomplished author but are ignored in the automatic process of calculating the h-index. The partially manual process doubled the h-index value for F. W. Lancaster from 13 to 26, which is a much more realistic value for an information scientist and professor of his stature.
- Content
- Beitrag in einem Themenheft 'The Influence of F. W. Lancaster on Information Science and on Libraries', das als Festschrift für F.W. Lancaster deklariert ist.
-
Lewison, G.: ¬The work of the Bibliometrics Research Group (City University) and associates (2005)
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- Date
- 20. 1.2007 17:02:22
-
Proceedings of the sixth conference of the International Society for Scientometrics and Informetrics (1997)
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- Editor
- Peritz, B.C., L. Egghe u. W. Glanzel
-
Proceedings of the sixth conference of the International Society for Scientometrics and Informetrics (1998)
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- Editor
- Peritz, B.C., L. Egghe u. W. Glanzel
-
Bu, Y.; Li, M.; Gu, W.; Huang, W.-b.: Topic diversity : a discipline scheme-free diversity measurement for journals (2021)
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-
Oluic-Vukovic, V.: Bradford's distribution : from the classical bibliometric 'law' to the more general stochastic models (1997)
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Aris, A.; Shneiderman, B.; Qazvinian, V.; Radev, D.: Visual overviews for discovering key papers and influences across research fronts (2009)
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Larivière, V.; Gingras, Y.: ¬The impact factor's Matthew Effect : a natural experiment in bibliometrics (2010)
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