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  • × theme_ss:"Informetrie"
  • × type_ss:"a"
  • × year_i:[2010 TO 2020}
  1. Campanario, J.M.: Large increases and decreases in journal impact factors in only one year : the effect of journal self-citations (2011) 0.04
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    Date
    22. 1.2011 12:53:00
    Source
    Journal of the American Society for Information Science and Technology. 62(2011) no.2, S.230-235
  2. Ding, Y.: Applying weighted PageRank to author citation networks (2011) 0.04
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    Date
    22. 1.2011 13:02:21
    Source
    Journal of the American Society for Information Science and Technology. 62(2011) no.2, S.236-245
  3. Jovanovic, M.: ¬Eine kleine Frühgeschichte der Bibliometrie (2012) 0.04
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    Content
    Vgl.: http://www.degruyter.com/view/j/iwp.2012.63.issue-2/iwp-2012-0017/iwp-2012-0017.xml?format=INT.
    Date
    22. 7.2012 19:23:32
    Source
    Information - Wissenschaft und Praxis. 63(2012) H.2, S.71-80
  4. Leydesdorff, L.; Bornmann, L.; Wagner, C.S.: ¬The relative influences of government funding and international collaboration on citation impact (2019) 0.04
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    Abstract
    A recent publication in Nature reports that public R&D funding is only weakly correlated with the citation impact of a nation's articles as measured by the field-weighted citation index (FWCI; defined by Scopus). On the basis of the supplementary data, we up-scaled the design using Web of Science data for the decade 2003-2013 and OECD funding data for the corresponding decade assuming a 2-year delay (2001-2011). Using negative binomial regression analysis, we found very small coefficients, but the effects of international collaboration are positive and statistically significant, whereas the effects of government funding are negative, an order of magnitude smaller, and statistically nonsignificant (in two of three analyses). In other words, international collaboration improves the impact of research articles, whereas more government funding tends to have a small adverse effect when comparing OECD countries.
    Date
    8. 1.2019 18:22:45
    Source
    Journal of the Association for Information Science and Technology. 70(2019) no.2, S.198-201
  5. D'Angelo, C.A.; Giuffrida, C.; Abramo, G.: ¬A heuristic approach to author name disambiguation in bibliometrics databases for large-scale research assessments (2011) 0.03
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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
  6. Hicks, D.; Wang, J.: Coverage and overlap of the new social sciences and humanities journal lists (2011) 0.03
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    Date
    22. 1.2011 13:21:28
    Source
    Journal of the American Society for Information Science and Technology. 62(2011) no.2, S.284-294
  7. ¬Die deutsche Zeitschrift für Dokumentation, Informationswissenschaft und Informationspraxis von 1950 bis 2011 : eine vorläufige Bilanz in vier Abschnitten (2012) 0.03
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    Date
    22. 7.2012 19:35:26
    Footnote
    Besteht aus 4 Teilen: Teil 1: Eden, D., A. Arndt, A. Hoffer, T. Raschke u. P. Schön: Die Nachrichten für Dokumentation in den Jahren 1950 bis 1962 (S.159-163). Teil 2: Brose, M., E. durst, D. Nitzsche, D. Veckenstedt u. R. Wein: Statistische Untersuchung der Fachzeitschrift "Nachrichten für Dokumentation" (NfD) 1963-1975 (S.164-170). Teil 3: Bösel, J., G. Ebert, P. Garz,, M. Iwanow u. B. Russ: Methoden und Ergebnisse einer statistischen Auswertung der Fachzeitschrift "Nachrichten für Dokumentation" (NfD) 1976 bis 1988 (S.171-174). Teil 4: Engelage, H., S. Jansen, R. Mertins, K. Redel u. S. Ring: Statistische Untersuchung der Fachzeitschrift "Nachrichten für Dokumentation" (NfD) / "Information. Wissenschaft & Praxis" (IWP) 1989-2011 (S.164-170).
  8. Kronegger, L.; Mali, F.; Ferligoj, A.; Doreian, P.: Classifying scientific disciplines in Slovenia : a study of the evolution of collaboration structures (2015) 0.03
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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
  9. Li, J.; Shi, D.: Sleeping beauties in genius work : when were they awakened? (2016) 0.03
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    Date
    22. 1.2016 14:13:32
    Source
    Journal of the Association for Information Science and Technology. 67(2016) no.2, S.432-440
  10. Dobrota, M.; Dobrota, M.: ARWU ranking uncertainty and sensitivity : what if the award factor was Excluded? (2016) 0.03
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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
  11. Ridenour, L.: Boundary objects : measuring gaps and overlap between research areas (2016) 0.03
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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.
    Date
    2. 9.2014 19:19:40
  12. Moed, H.F.; Halevi, G.: On full text download and citation distributions in scientific-scholarly journals (2016) 0.03
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    Abstract
    A statistical analysis of full text downloads of articles in Elsevier's ScienceDirect covering all disciplines reveals large differences in download frequencies, their skewness, and their correlation with Scopus-based citation counts, between disciplines, journals, and document types. Download counts tend to be 2 orders of magnitude higher and less skewedly distributed than citations. A mathematical model based on the sum of two exponentials does not adequately capture monthly download counts. The degree of correlation at the article level within a journal is similar to that at the journal level in the discipline covered by that journal, suggesting that the differences between journals are, to a large extent, discipline specific. Despite the fact that in all studied journals download and citation counts per article positively correlate, little overlap may exist between the set of articles appearing in the top of the citation distribution and that with the most frequently downloaded ones. Usage and citation leaks, bulk downloading, differences between reader and author populations in a subject field, the type of document or its content, differences in obsolescence patterns between downloads and citations, and different functions of reading and citing in the research process all provide possible explanations of differences between download and citation distributions.
    Date
    22. 1.2016 14:11:17
    Source
    Journal of the Association for Information Science and Technology. 67(2016) no.2, S.412-431
  13. Zitt, M.; Lelu, A.; Bassecoulard, E.: Hybrid citation-word representations in science mapping : Portolan charts of research fields? (2011) 0.03
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    Abstract
    The mapping of scientific fields, based on principles established in the seventies, has recently shown a remarkable development and applications are now booming with progress in computing efficiency. We examine here the convergence of two thematic mapping approaches, citation-based and word-based, which rely on quite different sociological backgrounds. A corpus in the nanoscience field was broken down into research themes, using the same clustering technique on the 2 networks separately. The tool for comparison is the table of intersections of the M clusters (here M=50) built on either side. A classical visual exploitation of such contingency tables is based on correspondence analysis. We investigate a rearrangement of the intersection table (block modeling), resulting in pseudo-map. The interest of this representation for confronting the two breakdowns is discussed. The amount of convergence found is, in our view, a strong argument in favor of the reliability of bibliometric mapping. However, the outcomes are not convergent at the degree where they can be substituted for each other. Differences highlight the complementarity between approaches based on different networks. In contrast with the strong informetric posture found in recent literature, where lexical and citation markers are considered as miscible tokens, the framework proposed here does not mix the two elements at an early stage, in compliance with their contrasted logic.
    Date
    8. 1.2011 18:22:50
  14. Leydesdorff, L.; Bornmann, L.: How fractional counting of citations affects the impact factor : normalization in terms of differences in citation potentials among fields of science (2011) 0.03
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    Date
    22. 1.2011 12:51:07
    Source
    Journal of the American Society for Information Science and Technology. 62(2011) no.2, S.217-229
  15. Liu, D.-R.; Shih, M.-J.: Hybrid-patent classification based on patent-network analysis (2011) 0.03
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    Date
    22. 1.2011 13:04:21
    Source
    Journal of the American Society for Information Science and Technology. 62(2011) no.2, S.246-256
  16. Stvilia, B.; Hinnant, C.C.; Schindler, K.; Worrall, A.; Burnett, G.; Burnett, K.; Kazmer, M.M.; Marty, P.F.: Composition of scientific teams and publication productivity at a national science lab (2011) 0.03
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    Date
    22. 1.2011 13:19:42
    Source
    Journal of the American Society for Information Science and Technology. 62(2011) no.2, S.270-283
  17. Kuan, C.-H.; Liu, J.S.: ¬A new approach for main path analysis : decay in knowledge diffusion (2016) 0.03
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    Date
    22. 1.2016 14:23:00
    Source
    Journal of the Association for Information Science and Technology. 67(2016) no.2, S.465-476
  18. Thelwall, M.: Are Mendeley reader counts high enough for research evaluations when articles are published? (2017) 0.03
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    Date
    20. 1.2015 18:30:22
    Source
    Aslib journal of information management. 69(2017) no.2, S.174-183
  19. Castanha, R.C.G.; Wolfram, D.: ¬The domain of knowledge organization : a bibliometric analysis of prolific authors and their intellectual space (2018) 0.03
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    Date
    2. 9.2014 19:19:40
    Source
    Knowledge organization. 45(2018) no.1, S.13-22
  20. Marx, W.; Bornmann, L.: On the problems of dealing with bibliometric data (2014) 0.02
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    Date
    18. 3.2014 19:13:22

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