-
Crespo, J.A.; Herranz, N.; Li, Y.; Ruiz-Castillo, J.: ¬The effect on citation inequality of differences in citation practices at the web of science subject category level (2014)
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- Abstract
- This article studies the impact of differences in citation practices at the subfield, or Web of Science subject category level, using the model introduced in Crespo, Li, and Ruiz-Castillo (2013a), according to which the number of citations received by an article depends on its underlying scientific influence and the field to which it belongs. We use the same Thomson Reuters data set of about 4.4 million articles used in Crespo et al. (2013a) to analyze 22 broad fields. The main results are the following: First, when the classification system goes from 22 fields to 219 subfields the effect on citation inequality of differences in citation practices increases from ?14% at the field level to 18% at the subfield level. Second, we estimate a set of exchange rates (ERs) over a wide [660, 978] citation quantile interval to express the citation counts of articles into the equivalent counts in the all-sciences case. In the fractional case, for example, we find that in 187 of 219 subfields the ERs are reliable in the sense that the coefficient of variation is smaller than or equal to 0.10. Third, in the fractional case the normalization of the raw data using the ERs (or subfield mean citations) as normalization factors reduces the importance of the differences in citation practices from 18% to 3.8% (3.4%) of overall citation inequality. Fourth, the results in the fractional case are essentially replicated when we adopt a multiplicative approach.
- Source
- Journal of the Association for Information Science and Technology. 65(2014) no.6, S.1244-1256
-
Yan, E.: Finding knowledge paths among scientific disciplines (2014)
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- Date
- 26.10.2014 20:22:22
- Source
- Journal of the Association for Information Science and Technology. 65(2014) no.11, S.2331-2347
-
Kumar, S.: Co-authorship networks : a review of the literature (2015)
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- Date
- 20. 1.2015 18:30:22
- Source
- Aslib journal of information management. 67(2015) no.1, S.55-73
-
Albarrán, P.; Ruiz-Castillo, J.: References made and citations received by scientific articles (2011)
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- Abstract
- This article studies massive evidence about references made and citations received after a 5-year citation window by 3.7 million articles published in 1998 to 2002 in 22 scientific fields. We find that the distributions of references made and citations received share a number of basic features across sciences. Reference distributions are rather skewed to the right while citation distributions are even more highly skewed: The mean is about 20 percentage points to the right of the median, and articles with a remarkable or an outstanding number of citations represent about 9% of the total. Moreover, the existence of a power law representing the upper tail of citation distributions cannot be rejected in 17 fields whose articles represent 74.7% of the total. Contrary to the evidence in other contexts, the value of the scale parameter is above 3.5 in 13 of the 17 cases. Finally, power laws are typically small, but capture a considerable proportion of the total citations received.
- Source
- Journal of the American Society for Information Science and Technology. 62(2011) no.1, S.40-49
-
D'Angelo, C.A.; Giuffrida, C.; Abramo, G.: ¬A heuristic approach to author name disambiguation in bibliometrics databases for large-scale research assessments (2011)
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- Date
- 22. 1.2011 13:06:52
- Source
- Journal of the American Society for Information Science and Technology. 62(2011) no.2, S.257-269
-
Frandsen, T.F.; Nicolaisen, J.: ¬The ripple effect : citation chain reactions of a nobel prize (2013)
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- Date
- 22. 3.2013 16:21:09
- Source
- Journal of the American Society for Information Science and Technology. 64(2013) no.3, S.437-447
-
Bornmann, L.: How to analyze percentile citation impact data meaningfully in bibliometrics : the statistical analysis of distributions, percentile rank classes, and top-cited papers (2013)
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- Date
- 22. 3.2013 19:44:17
- Source
- Journal of the American Society for Information Science and Technology. 64(2013) no.3, S.587-595
-
Wan, X.; Liu, F.: Are all literature citations equally important? : automatic citation strength estimation and its applications (2014)
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- Date
- 22. 8.2014 17:12:35
- Source
- Journal of the Association for Information Science and Technology. 65(2014) no.9, S.1929-1938
-
Kronegger, L.; Mali, F.; Ferligoj, A.; Doreian, P.: Classifying scientific disciplines in Slovenia : a study of the evolution of collaboration structures (2015)
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- Date
- 21. 1.2015 14:55:22
- Source
- Journal of the Association for Information Science and Technology. 66(2015) no.2, S.321-339
-
Ntuli, H.; Inglesi-Lotz, R.; Chang, T.; Pouris, A.: Does research output cause economic growth or vice versa? : evidence from 34 OECD countries (2015)
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- Date
- 8. 7.2015 22:00:42
- Source
- Journal of the Association for Information Science and Technology. 66(2015) no.8, S.1709-1716
-
Dobrota, M.; Dobrota, M.: ARWU ranking uncertainty and sensitivity : what if the award factor was Excluded? (2016)
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- Date
- 22. 1.2016 14:40:53
- Source
- Journal of the Association for Information Science and Technology. 67(2016) no.2, S.480-482
-
Ridenour, L.: Boundary objects : measuring gaps and overlap between research areas (2016)
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- Abstract
- The aim of this paper is to develop methodology to determine conceptual overlap between research areas. It investigates patterns of terminology usage in scientific abstracts as boundary objects between research specialties. Research specialties were determined by high-level classifications assigned by Thomson Reuters in their Essential Science Indicators file, which provided a strictly hierarchical classification of journals into 22 categories. Results from the query "network theory" were downloaded from the Web of Science. From this file, two top-level groups, economics and social sciences, were selected and topically analyzed to provide a baseline of similarity on which to run an informetric analysis. The Places & Spaces Map of Science (Klavans and Boyack 2007) was used to determine the proximity of disciplines to one another in order to select the two disciplines use in the analysis. Groups analyzed share common theories and goals; however, groups used different language to describe their research. It was found that 61% of term words were shared between the two groups.
- Source
- Knowledge organization. 43(2016) no.1, S.44-55
-
Thelwall, M.; Maflahi, N.: Guideline references and academic citations as evidence of the clinical value of health research (2016)
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- Date
- 19. 3.2016 12:22:00
- Source
- Journal of the Association for Information Science and Technology. 67(2016) no.4, S.960-966
-
Thelwall, M.; Sud, P.: Mendeley readership counts : an investigation of temporal and disciplinary differences (2016)
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- Date
- 16.11.2016 11:07:22
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- Journal of the Association for Information Science and Technology. 67(2016) no.12, S.3036-3050
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Didegah, F.; Thelwall, M.: Co-saved, co-tweeted, and co-cited networks (2018)
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- Date
- 28. 7.2018 10:00:22
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- Journal of the Association for Information Science and Technology. 69(2018) no.8, S.959-973
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Haustein, S.; Tunger, D.: Sziento- und bibliometrische Verfahren (2013)
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- d
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- S.479-492
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- Grundlagen der praktischen Information und Dokumentation. Handbuch zur Einführung in die Informationswissenschaft und -praxis. 6., völlig neu gefaßte Ausgabe. Hrsg. von R. Kuhlen, W. Semar u. D. Strauch. Begründet von Klaus Laisiepen, Ernst Lutterbeck, Karl-Heinrich Meyer-Uhlenried
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Liu, S.; Chen, C.: ¬The differences between latent topics in abstracts and citation contexts of citing papers (2013)
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- Date
- 22. 3.2013 19:50:00
- Source
- Journal of the American Society for Information Science and Technology. 64(2013) no.3, S.627-639
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Lewandowski, D.; Haustein, S.: What does the German-language information science community cite? (2015)
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Bannister, A.; Hulek, K.; Teschke, O.: ¬Das Zitationsverhalten in mathematischen Arbeiten : einige Anmerkungen (2017)
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- Content
- Vgl. auch den Beitrag auf S.204-205: Vier bibliometrische Kennzahlen auf Grundlage von zbMATH-Daten. Vgl.: https://doi.org/10.1515/dmvm-2017-0064.
- Language
- d
- Location
- D
- Source
- Mitteilungen der Deutschen Mathematiker-Vereinigung. 2017, H.4, S.208-214
-
Zitt, M.; Lelu, A.; Bassecoulard, E.: Hybrid citation-word representations in science mapping : Portolan charts of research fields? (2011)
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- Date
- 8. 1.2011 18:22:50
- Source
- Journal of the American Society for Information Science and Technology. 62(2011) no.1, S.19-39
