Journal of Information and Knowledge (Formerly SRELS Journal of Information Management)

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Study of Citation Distribution in Astrophysics:An Empirical Approach


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1 Department of Library and Information Science, Vidyasagar University, Midnapore 721102, West Bengal, India
     

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This paper has empirically established a relationship between the number of citations received by the articles (both topten cited and others) and number of articles retrieved from Web of Science database in some areas of astrophysics. The study is based on the data retrieved from Web of Science (WoS) database for the period 1990 to 2014 in some areas of astrophysics. The search terms used in WoS were selected from Thesaurus of astronomy. In all, eighteen search terms were selected from some domains of astrophysics using systematic sampling method. Four fundamental variables associated with each search term are considered for this study. These variables are: Number of retrieved documents; total citations received by all retrieved documents (including self citation); total citations received by top 10 cited documents (including self citation) and age of the retrieved documents. On the basis of these four fundamental variables, five new variables are defined as follows, i.e. Average number of citations received by all retrieved articles; average number of citations received by top ten cited articles; Citation Gain; Citation Gain Index and Citation Gain Index per unit Age or Temporary Citation Gain Index. It has been observed that citation gain is directly proportional to number of retrievals. The analysis empirically established the skewed nature of citation distribution, i.e. accumulation of more citations around highly cited articles. The Temporary Citation Gain Index showed rectangular hyperbolic pattern with Publication age.

Keywords

Astrophysics, Scientometric Study, Highly Cited Articles, Relative Citation Share, Citation Analysis-Astronomy and Astrophysics, Citation Study, Stellar Physics, Web of Science, Solar Physics-Citation Study, Star, Nuclear Astrophysics-Citation Study.
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About The Authors

Soumen Teli
Department of Library and Information Science, Vidyasagar University, Midnapore 721102, West Bengal
India

Junior Research Fellow (UGC); Department of Library and Information Science; Vidyasagar University; Midnapore 721 102; West Bengal

Bidyarthi Dutta
Department of Library and Information Science, Vidyasagar University, Midnapore 721102, West Bengal
India

Asst. Professor; Dept. of Library and Information Science


Notifications

  • Bornmann, Lutz. (2014). How are excellent (highly cited) papers defined in bibliometrics? A quantitative analysis of the literature. Research Evaluation, 23:166–173; doi:10.1093/ reseval/rvu002

  • Glanzel, W. and Schubert, A. (1992). Some facts and figures on highly cited papers in the sciences, Scientometrics, 25:373–380.

  • Kostoff, R.N., Barth, R.B. and Lau, C.G.Y. (2008). Relation of seminal nanotechnology document production to total nanotechnology document production-South Korea, Scientometrics, 76:43-67.

  • Essential Science Indicators. Retrieved from http://esi.webofknowledge.com/help/h_dathic.htm (Accessed on October 11, 2015).

  • Aksnes, Dag W. (2003). Characteristics of highly cited papers. Research Evaluation, 12(3):159-170.

  • Ivanović, Dragan and Yuh-Shan Ho. (2014). Highly cited articles in the Information Science and Library Science category in Social Science Citation Index: A bibliometric analysis. Journal of Librarianship and Information Science, 0961000614537514.

  • Tang, Rong. (2008). Citation characteristics and intellectual acceptance of scholarly monographs. College & Research Libraries, 69(4):356-369.

  • Price and De Solla, D.J. (1965). Networks of scientific papers. Science, 149:510–515.

  • Seglen, P.O. (1992). The skewness of science. Journal of the American Society for Information Science, 43:628–38.

  • Aksnes, Dag W. and Gunnar Sivertsen. (2004). The effect of highly cited papers on national citation indicators. Scientometrics, 59(2):213-224. 11. Aversa, Elizabeth. (1985). Citation patterns of highly cited papers and their relationship to literature aging: A study of the working literature. Scientometrics, 7(3-6):383-389.

  • Plomp, Reinier. (1990). The significance of the number of highly cited papers as an indicator of scientific prolificacy. Scientometrics, 19(3-4):185-197.

  • Persson, Olle. (2010). Are highly cited papers more international? Scientometrics, 83(2):397-401.

  • Tijssen, Robert, Martijn Visser and Thed van Leeuwen. (2002). Benchmarking international scientific excellence: Are highly cited research papers an appropriate frame of reference? Scientometrics, 54(3):381-397.

  • Oppenheim, Charles and Susan P. Renn. (1978). Highly cited old papers and the reasons why they continue to be cited. Journal of the American Society for Information Science, 29(5):225-231.

  • Plomp, Reinier. (1994). The highly cited papers of professors as an indicator of a research group’s scientific performance. Scientometrics, 29(3):377-393.

  • Glänzel, Wolfgang and András Schubert. (1992). Some facts and figures on highly cited papers in the sciences, 1981– 1985. Scientometrics, 25(3):373-380.

  • Campanario, Juan Miguel, and Erika Acedo. (2007). Rejecting highly cited papers: The views of scientists who encounter resistance to their discoveries from other scientists. Journal of the American Society for Information Science and Technology, 58(5):734-743.

  • Leydesdorff, Loet. (2012). Alternatives to the journal impact factor: I3 and the top-10% (or top-25%) of the most-highly cited papers. Scientometrics, 92(2):355-365.

  • Campanario, Miguel. (1993). Consolation for the scientist: Sometimes it is hard to publish papers that are later highlycited. Social Studies of Science, 23(2):342-362.

  • Redner, Sidney. (1998). How popular is your paper? An empirical study of the citation distribution. The European Physical Journal B-Condensed Matter and Complex Systems, 4(2):131-134.

  • Aksnes, Dag Westreng. (2005). Citations and their use as indicators in science policy: Studies of validity and applicability issues with a particular focus on highly cited papers. Retrieved from http://purl.utwente.nl/publications/51100 on August 25, 2015.

  • Abramo, Giovanni and Ciriaco Andrea D’Angelo. (2015). Ranking research institutions by the number of highly-cited articles per scientist. Journal of Informetrics, 9(4):915-923.

  • Chen, Huaqi and Yuh-Shan Ho. (2015). Highly cited articles in biomass research: A bibliometric analysis. Renewable and Sustainable Energy Reviews, 49:12-20.

  • Thelwall, Mike and Ruth Fairclough. (2015). Geometric journal impact factors correcting for individual highly cited articles. Journal of Informetrics, 9(2):263-272.

  • Martínez, Raidell Avello and Terry Anderson. (2015). Are the most highly cited articles the ones that are the most downloaded? A bibliometric study of IRRODL. The International Review of Research in Open and Distributed Learning, 16(3).

  • Abramo, Giovanni, Tindaro Cicero and Ciriaco Andrea D’Angelo. (2014). Are the authors of highly cited articles also the most productive ones? Journal of Informetrics, 8(1):89-97.

  • Campanario, Juan Miguel. (1996). Have referees rejected some of the most‐cited articles of all times? Journal of the American Society for Information Science, 47(4):302-310.

  • Rousseau, Ronald. (1988). Citation distribution of pure mathematics journals. Retrieved from http://hdl.handle.net/1942/844 on September 02, 2015.

  • Burrel, Quentin. (2001). Stochastic modelling of the first-citation distribution. Scientometrics, 52(1):3-12.

  • Burrell, Quentin. (2002). The n th-citation distribution and obsolescence. Scientometrics, 53(3):309-323.

  • van Leeuwen, Thed N. and Henk F. Moed. (2005). Characteristics of journal impact factors: the effects of uncitedness and citation distribution on the understanding of journal impact factors. Scientometrics, 63(2):357-371.

  • Egghe, Leo. (2000). A heuristic study of the first-citation distribution. Scientometrics, 48(3):345-359.

  • Egghe, Leo and Ravichandra Rao, I.K. (2001). Theory of first-citation distributions and applications. Mathematical and Computer Modelling, 34(1):81-90.

  • Nakamoto, Hideshiro. (1988). Synchronous and diachronous citation distribution. Retrieved from http://hdl.handle.net/1942/837 on September 04, 2015.

  • Thesaurus; Unified Astronomy Thesaurus; Retrieved from http://astrothesaurus.org/thesaurus/ on September 05, 2015.

  • Physics and Astronomy Classification Scheme; Retrieved from https://www.aip.org/publishing/pacs on September 30, 2015.


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  • Study of Citation Distribution in Astrophysics:An Empirical Approach

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Authors

Soumen Teli
Department of Library and Information Science, Vidyasagar University, Midnapore 721102, West Bengal, India
Bidyarthi Dutta
Department of Library and Information Science, Vidyasagar University, Midnapore 721102, West Bengal, India

Abstract


This paper has empirically established a relationship between the number of citations received by the articles (both topten cited and others) and number of articles retrieved from Web of Science database in some areas of astrophysics. The study is based on the data retrieved from Web of Science (WoS) database for the period 1990 to 2014 in some areas of astrophysics. The search terms used in WoS were selected from Thesaurus of astronomy. In all, eighteen search terms were selected from some domains of astrophysics using systematic sampling method. Four fundamental variables associated with each search term are considered for this study. These variables are: Number of retrieved documents; total citations received by all retrieved documents (including self citation); total citations received by top 10 cited documents (including self citation) and age of the retrieved documents. On the basis of these four fundamental variables, five new variables are defined as follows, i.e. Average number of citations received by all retrieved articles; average number of citations received by top ten cited articles; Citation Gain; Citation Gain Index and Citation Gain Index per unit Age or Temporary Citation Gain Index. It has been observed that citation gain is directly proportional to number of retrievals. The analysis empirically established the skewed nature of citation distribution, i.e. accumulation of more citations around highly cited articles. The Temporary Citation Gain Index showed rectangular hyperbolic pattern with Publication age.

Keywords


Astrophysics, Scientometric Study, Highly Cited Articles, Relative Citation Share, Citation Analysis-Astronomy and Astrophysics, Citation Study, Stellar Physics, Web of Science, Solar Physics-Citation Study, Star, Nuclear Astrophysics-Citation Study.

References