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Gerdel, W.: Datentechnische Methoden in der Referenzanalyse (1980)
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- Deutscher Dokumentartag 1979, Willingen/Hochsauerland, 1.-5.10.1979. Das IuD-Programm heute - Online-Benutzergruppe - Bibliometrie, Scientometrie - Terminologiearbeit - Datenschutz - Tariffragen, Berufsbilder - Informationsmarkt - Gesprächskreise. Bearb.: M. von der Laake u. H. Strohl-Goebel
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Stock, W.G.: Wirtschaftsinformationen aus informetrischen Online-Recherchen (1992)
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Eisenhardt, O.; Ohly, P.: Quantitative Analyse und Suchstrategien (1981)
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Nacke, O.: Zitatenanalyse im engeren Sinne (1980)
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Nacke, O.: Fehlerquellen bei der Zitatenanalyse (1980)
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Eisenhardt, O.H.: Ergebnisse der Referenzanalyse (1980)
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Henzler, R.: Bibliometrische Methoden der Termanalyse (1980)
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-
Wersig, G.: Quantitative Methoden der Benutzerforschung (1981)
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- Deutscher Dokumentartag 1980, Berlin, 29.9.-3.10.1980: IuD und Normung - Neue Kommunikationstechnologie - Berufspolitik - Datenbanken - Betriebsstatistik - Informetrie - Parlamentsdokumentation - Arbeitskreis Senioren - Gesprächskreise. Bearb.: M. von der Laake u. H. Strohl-Goebel
-
Hunter, J.A.: Quantifizierbare Merkmale von Datenbanken (1981)
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- Deutscher Dokumentartag 1980, Berlin, 29.9.-3.10.1980: IuD und Normung - Neue Kommunikationstechnologie - Berufspolitik - Datenbanken - Betriebsstatistik - Informetrie - Parlamentsdokumentation - Arbeitskreis Senioren - Gesprächskreise. Bearb.: M. von der Laake u. H. Strohl-Goebel
-
Stock, W.G.: Eugene Garfield und die Folgen : der Weg der Fußnote bis in die Wissenschaftspolitik (2002)
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White, H. D.: Co-cited author retrieval and relevance theory : examples from the humanities (2015)
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Freistetter, F.: Warum jeder (fast) jeden kennt (2017)
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- Spektrum der Wissenschaft. 2017, H.7, S.79
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Springer, M.: Erlahmt die Forschung? (2023)
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Egghe, L.; Ravichandra Rao, I.K.: ¬The influence of the broadness of a query of a topic on its h-index : models and examples of the h-index of n-grams (2008)
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- Abstract
- The article studies the influence of the query formulation of a topic on its h-index. In order to generate pure random sets of documents, we used N-grams (N variable) to measure this influence: strings of zeros, truncated at the end. The used databases are WoS and Scopus. The formula h=T**1/alpha, proved in Egghe and Rousseau (2006) where T is the number of retrieved documents and is Lotka's exponent, is confirmed being a concavely increasing function of T. We also give a formula for the relation between h and N the length of the N-gram: h=D10**(-N/alpha) where D is a constant, a convexly decreasing function, which is found in our experiments. Nonlinear regression on h=T**1/alpha gives an estimation of , which can then be used to estimate the h-index of the entire database (Web of Science [WoS] and Scopus): h=S**1/alpha, , where S is the total number of documents in the database.
- Object
- h-index
-
Bannister, A.; Hulek, K.; Teschke, O.: ¬Das Zitationsverhalten in mathematischen Arbeiten : einige Anmerkungen (2017)
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- Language
- d
- Location
- D
- Source
- Mitteilungen der Deutschen Mathematiker-Vereinigung. 2017, H.4, S.208-214
-
Dederke, J.; Hirschmann, B.; Johann, D.: ¬Der Data Citation Index von Clarivate : Eine wertvolle Ressource für die Forschung und für Bibliotheken? (2022)
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- Source
- B.I.T. Online. 25(2022) H.1, S.21-
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Chan, H.C.; Kim, H.-W.; Tan, W.C.: Information systems citation patterns from International Conference on Information Systems articles (2006)
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- Date
- 3. 1.2007 17:22:03
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Wan, X.; Liu, F.: Are all literature citations equally important? : automatic citation strength estimation and its applications (2014)
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- Abstract
- Literature citation analysis plays a very important role in bibliometrics and scientometrics, such as the Science Citation Index (SCI) impact factor, h-index. Existing citation analysis methods assume that all citations in a paper are equally important, and they simply count the number of citations. Here we argue that the citations in a paper are not equally important and some citations are more important than the others. We use a strength value to assess the importance of each citation and propose to use the regression method with a few useful features for automatically estimating the strength value of each citation. Evaluation results on a manually labeled data set in the computer science field show that the estimated values can achieve good correlation with human-labeled values. We further apply the estimated citation strength values for evaluating paper influence and author influence, and the preliminary evaluation results demonstrate the usefulness of the citation strength values.
- Date
- 22. 8.2014 17:12:35
-
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
-
Mingers, J.; Macri, F.; Petrovici, D.: Using the h-index to measure the quality of journals in the field of business and management (2012)
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- Abstract
- This paper considers the use of the h-index as a measure of a journal's research quality and contribution. We study a sample of 455 journals in business and management all of which are included in the ISI Web of Science (WoS) and the Association of Business School's peer review journal ranking list. The h-index is compared with both the traditional impact factors, and with the peer review judgements. We also consider two sources of citation data - the WoS itself and Google Scholar. The conclusions are that the h-index is preferable to the impact factor for a variety of reasons, especially the selective coverage of the impact factor and the fact that it disadvantages journals that publish many papers. Google Scholar is also preferred to WoS as a data source. However, the paper notes that it is not sufficient to use any single metric to properly evaluate research achievements.
- Object
- h-index
