IDEAS home Printed from https://ideas.repec.org/a/bla/jinfst/v63y2012i12p2433-2450.html
   My bibliography  Save this article

Referencing patterns of individual researchers: Do top scientists rely on more extensive information sources?

Author

Listed:
  • Rodrigo Costas
  • Thed N. Leeuwen
  • María Bordons

Abstract

No abstract is available for this item.

Suggested Citation

  • Rodrigo Costas & Thed N. Leeuwen & María Bordons, 2012. "Referencing patterns of individual researchers: Do top scientists rely on more extensive information sources?," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(12), pages 2433-2450, December.
    • Handle: RePEc:bla:jinfst:v:63:y:2012:i:12:p:2433-2450
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1002/asi.22662
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Rodrigo Costas & María Bordons, 2005. "Bibliometric indicators at the micro-level: some results in the area of natural resources at the Spanish CSIC," Research Evaluation, Oxford University Press, vol. 14(2), pages 110-120, August.
    2. K. C. Garg & Suresh Kumar & Kashmiri Lal, 2006. "Scientometric profile of Indian agricultural research as seen through Science Citation Index Expanded," Scientometrics, Springer;Akadémiai Kiadó, vol. 68(1), pages 151-166, July.
    3. Helmut A. Abt & Eugene Garfield, 2002. "Is the relationship between numbers of references and paper lengths the same for all sciences?," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 53(13), pages 1106-1112, November.
    4. Rodrigo Costas & Thed N. van Leeuwen & María Bordons, 2010. "A bibliometric classificatory approach for the study and assessment of research performance at the individual level: The effects of age on productivity and impact," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(8), pages 1564-1581, August.
    5. Rodrigo Costas & Thed N. van Leeuwen & María Bordons, 2010. "A bibliometric classificatory approach for the study and assessment of research performance at the individual level: The effects of age on productivity and impact," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(8), pages 1564-1581, August.
    6. Kenneth W. Clements & Patricia Wang, 2003. "Who Cites What?," The Economic Record, The Economic Society of Australia, vol. 79(245), pages 229-244, June.
    7. Grant Lewison, 2009. "The percentage of reviews in research output: a simple measure of research esteem," Research Evaluation, Oxford University Press, vol. 18(1), pages 25-37, March.
    8. J. S. Kidd, 1990. "Measuring referencing practices," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 41(3), pages 157-163, April.
    9. J. Rey-Rocha & M. J. Martín-Sempere, 1999. "The role of domestic journals in geographically-oriented disciplines: The case of Spanish journals on earth sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 45(2), pages 203-216, June.
    10. Massimo Franceschet, 2009. "A cluster analysis of scholar and journal bibliometric indicators," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(10), pages 1950-1964, October.
    11. Mohammad Hossein Biglu, 2008. "The influence of references per paper in the SCI to Impact Factors and the Matthew Effect," Scientometrics, Springer;Akadémiai Kiadó, vol. 74(3), pages 453-470, March.
    12. George A. Barnett & Edward L. Fink, 2008. "Impact of the internet and scholar age distribution on academic citation age," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(4), pages 526-534, February.
    13. Tove Faber Frandsen & Jeppe Nicolaisen, 2012. "Effects of academic experience and prestige on researchers' citing behavior," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(1), pages 64-71, January.
    14. Nan Ma & Jiancheng Guan, 2005. "An exploratory study on collaboration profiles of Chinese publications in Molecular Biology," Scientometrics, Springer;Akadémiai Kiadó, vol. 65(3), pages 343-355, December.
    15. C. B. Amat & A. Yegros Yegros, 2009. "Median age difference of references as indicator of information update of research groups: A case study in Spanish food research," Scientometrics, Springer;Akadémiai Kiadó, vol. 78(3), pages 447-465, March.
    16. Aline Solari & Marie-Helene Magri, 2000. "A New Approach to the SCI Journal Citation Reports, a System for Evaluating Scientific Journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 47(3), pages 605-625, March.
    17. Kenneth W. Clements & Patricia Wang, 2003. "Who Cites What?," The Economic Record, The Economic Society of Australia, vol. 79(245), pages 229-244, June.
    18. Henry Small, 2010. "Referencing through history: how the analysis of landmark scholarly texts can inform citation theory," Research Evaluation, Oxford University Press, vol. 19(3), pages 185-193, September.
    19. Maria Bordons & M. T. Fernández & Isabel Gómez, 2002. "Advantages and limitations in the use of impact factor measures for the assessment of research performance," Scientometrics, Springer;Akadémiai Kiadó, vol. 53(2), pages 195-206, February.
    20. Thomas W. Steele & Jeffrey C. Stier, 2000. "The impact of interdisciplinary research in the environmental sciences: a forestry case study," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 51(5), pages 476-484.
    21. Tove Faber Frandsen & Jeppe Nicolaisen, 2012. "Effects of academic experience and prestige on researchers' citing behavior," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(1), pages 64-71, January.
    22. Nick Haslam & Lauren Ban & Leah Kaufmann & Stephen Loughnan & Kim Peters & Jennifer Whelan & Sam Wilson, 2008. "What makes an article influential? Predicting impact in social and personality psychology," Scientometrics, Springer;Akadémiai Kiadó, vol. 76(1), pages 169-185, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Soo Jeung Lee & Christian Schneijderberg & Yangson Kim & Isabel Steinhardt, 2021. "Have Academics’ Citation Patterns Changed in Response to the Rise of World University Rankings? A Test Using First-Citation Speeds," Sustainability, MDPI, vol. 13(17), pages 1-19, August.
    2. Yoscelina Iraida Hernandez-García & Mónica Anzaldo Montoya, 2021. "Flow of ideas in the study of communication channels and references in publications on nanotechnology applied to food and agriculture in Mexico," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 995-1017, February.
    3. Guoqiang Liang & Haiyan Hou & Xiaodan Lou & Zhigang Hu, 2019. "Qualifying threshold of “take-off” stage for successfully disseminated creative ideas," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(3), pages 1193-1208, September.
    4. Stacey, Anthony G, 2020. "Robust parameterisation of ages of references in published research," Journal of Informetrics, Elsevier, vol. 14(3).
    5. Abramo, Giovanni & Cicero, Tindaro & D’Angelo, Ciriaco Andrea, 2014. "Are the authors of highly cited articles also the most productive ones?," Journal of Informetrics, Elsevier, vol. 8(1), pages 89-97.
    6. Thed Leeuwen & Rodrigo Costas & Clara Calero-Medina & Martijn Visser, 2013. "The role of editorial material in bibliometric research performance assessments," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(2), pages 817-828, May.
    7. Liang, Guoqiang & Hou, Haiyan & Ding, Ying & Hu, Zhigang, 2020. "Knowledge recency to the birth of Nobel Prize-winning articles: Gender, career stage, and country," Journal of Informetrics, Elsevier, vol. 14(3).
    8. Dongyu Zang & Chunli Liu, 2023. "Exploring the clinical translation intensity of papers published by the world’s top scientists in basic medicine," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(4), pages 2371-2416, April.
    9. Libo Sheng & Dongqing Lyu & Xuanmin Ruan & Hongquan Shen & Ying Cheng, 2023. "The association between prior knowledge and the disruption of an article," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(8), pages 4731-4751, August.
    10. María Bordons & Borja González-Albo & Javier Aparicio & Luz Moreno, 2015. "The influence of R&D intensity of countries on the impact of international collaborative research: evidence from Spain," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1385-1400, February.
    11. María Bordons & Javier Aparicio & Rodrigo Costas, 2013. "Heterogeneity of collaboration and its relationship with research impact in a biomedical field," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(2), pages 443-466, August.
    12. Jeppe Nicolaisen & Tove Faber Frandsen, 2021. "Number of references: a large-scale study of interval ratios," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 259-285, January.
    13. Omar Mubin & Dhaval Tejlavwala & Mudassar Arsalan & Muneeb Ahmad & Simeon Simoff, 2018. "An assessment into the characteristics of award winning papers at CHI," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 1181-1201, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Staša Milojević, 2012. "How Are Academic Age, Productivity and Collaboration Related to Citing Behavior of Researchers?," PLOS ONE, Public Library of Science, vol. 7(11), pages 1-13, November.
    2. Ioana Alexandra HORODNIC, 2014. "Academic Performance: Measurement Methods Used In Socio - Economic Sciences," THE YEARBOOK OF THE "GH. ZANE" INSTITUTE OF ECONOMIC RESEARCHES, Gheorghe Zane Institute for Economic and Social Research ( from THE ROMANIAN ACADEMY, JASSY BRANCH), vol. 23(1), pages 5-17.
    3. Marek Kwiek & Wojciech Roszka, 2022. "Academic vs. biological age in research on academic careers: a large-scale study with implications for scientifically developing systems," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3543-3575, June.
    4. Giovanni Abramo & Ciriaco Andrea D’Angelo, 2011. "National-scale research performance assessment at the individual level," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(2), pages 347-364, February.
    5. Frandsen, Tove Faber & Jacobsen, Rasmus Højbjerg & Wallin, Johan A. & Brixen, Kim & Ousager, Jakob, 2015. "Gender differences in scientific performance: A bibliometric matching analysis of Danish health sciences Graduates," Journal of Informetrics, Elsevier, vol. 9(4), pages 1007-1017.
    6. Linda Reijnhoudt & Rodrigo Costas & Ed Noyons & Katy Börner & Andrea Scharnhorst, 2014. "‘Seed + expand’: a general methodology for detecting publication oeuvres of individual researchers," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1403-1417, November.
    7. Rodrigo Costas & Thed N. Leeuwen & Anthony F. J. Raan, 2011. "The “Mendel syndrome” in science: durability of scientific literature and its effects on bibliometric analysis of individual scientists," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(1), pages 177-205, October.
    8. Rodrigo Costas & María Bordons, 2011. "Do age and professional rank influence the order of authorship in scientific publications? Some evidence from a micro-level perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(1), pages 145-161, July.
    9. Shibayama, Sotaro, 2019. "Sustainable development of science and scientists: Academic training in life science labs," Research Policy, Elsevier, vol. 48(3), pages 676-692.
    10. Claus-Christian Carbon, 2011. "The Carbon_h-Factor: Predicting Individuals' Research Impact at Early Stages of Their Career," PLOS ONE, Public Library of Science, vol. 6(12), pages 1-7, December.
    11. Giancarlo Ruocco & Cinzia Daraio, 2013. "An empirical approach to compare the performance of heterogeneous academic fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(3), pages 601-625, December.
    12. Lutz Bornmann & Werner Marx, 2014. "How to evaluate individual researchers working in the natural and life sciences meaningfully? A proposal of methods based on percentiles of citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(1), pages 487-509, January.
    13. Wildgaard, Lorna, 2016. "A critical cluster analysis of 44 indicators of author-level performance," Journal of Informetrics, Elsevier, vol. 10(4), pages 1055-1078.
    14. Abramo, Giovanni & Cicero, Tindaro & D’Angelo, Ciriaco Andrea, 2012. "The dispersion of research performance within and between universities as a potential indicator of the competitive intensity in higher education systems," Journal of Informetrics, Elsevier, vol. 6(2), pages 155-168.
    15. Giovanni Abramo & Ciriaco Andrea D’Angelo & Francesco Rosati, 2014. "Relatives in the same university faculty: nepotism or merit?," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 737-749, October.
    16. Shang, Jing & Zeng, Mingbin & Zhang, Gupeng, 2022. "Investigating the mentorship effect on the academic success of young scientists: An empirical study of the 985 project universities of China," Journal of Informetrics, Elsevier, vol. 16(2).
    17. Jonas Lindahl & Cristian Colliander & Rickard Danell, 2020. "Early career performance and its correlation with gender and publication output during doctoral education," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 309-330, January.
    18. Ioana Alexandra Horodnic & Adriana Zaiţ, 2015. "Motivation and research productivity in a university system undergoing transition," Research Evaluation, Oxford University Press, vol. 24(3), pages 282-292.
    19. Xingchen Li & Qiang Wu & Yuanyuan Liu, 2017. "A quantitative analysis of researcher citation personal display considering disciplinary differences and influence factors," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(2), pages 1093-1112, November.
    20. João M. Santos & Hugo Horta, 2015. "The generational gap of science: a dynamic cluster analysis of doctorates in an evolving scientific system," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(1), pages 381-406, July.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:jinfst:v:63:y:2012:i:12:p:2433-2450. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.asis.org .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.