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Towards an early-stage identification of emerging topics in science—The usability of bibliometric characteristics

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  • Mund, Carolin
  • Neuhäusler, Peter

Abstract

The assessment of research topics according to their development stage can be used for different purposes, most importantly for decisions regarding the (financial) support of research groups and regions. In this work, we try to determine the influencing factors of emerging scientific topics during their early development stage. Documents in five pre-defined fields are analyzed with regard to the characteristics of the involved authors, their references and journals. With the help of an assignment to emerging and established topics, the publication behavior of documents in different development stages can be compared. Foremost, indicators can be derived that can help to identify publications in emerging topics in science at an early-stage after publication.

Suggested Citation

  • Mund, Carolin & Neuhäusler, Peter, 2015. "Towards an early-stage identification of emerging topics in science—The usability of bibliometric characteristics," Journal of Informetrics, Elsevier, vol. 9(4), pages 1018-1033.
    • Handle: RePEc:eee:infome:v:9:y:2015:i:4:p:1018-1033
    DOI: 10.1016/j.joi.2015.09.004
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    1. Ed J. Rinia & Thed. N. Van Leeuwen & Eppo E.W. Bruins & Hendrik G. Van Vuren & Anthony F.J. Van Raan, 2001. "Citation delay in interdisciplinary knowledge exchange," Scientometrics, Springer;Akadémiai Kiadó, vol. 51(1), pages 293-309, April.
    2. Fernanda Morillo & María Bordons & Isabel Gómez, 2001. "An approach to interdisciplinarity through bibliometric indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 51(1), pages 203-222, April.
    3. 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.
    4. Anthony F. J. van Raan, 2004. "Sleeping Beauties in science," Scientometrics, Springer;Akadémiai Kiadó, vol. 59(3), pages 467-472, March.
    5. Ismael Rafols & Martin Meyer, 2010. "Diversity and network coherence as indicators of interdisciplinarity: case studies in bionanoscience," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(2), pages 263-287, February.
    6. Henry Small, 2006. "Tracking and predicting growth areas in science," Scientometrics, Springer;Akadémiai Kiadó, vol. 68(3), pages 595-610, September.
    7. Carolin Michels & Ulrich Schmoch, 2014. "Impact of bibliometric studies on the publication behaviour of authors," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(1), pages 369-385, January.
    8. Margaret S. Pepe & Gary Longton & Holly Janes, 2009. "Estimation and comparison of receiver operating characteristic curves," Stata Journal, StataCorp LP, vol. 9(1), pages 1-16, March.
    9. Hendrik P. Van Dalen & Arjo Klamer, 2005. "Is Science A Case of Wasteful Competition?," Kyklos, Wiley Blackwell, vol. 58(3), pages 395-414, July.
    10. Carolin Michels & Ulrich Schmoch, 2012. "The growth of science and database coverage," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(3), pages 831-846, December.
    11. 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.
    12. Azzurra Ragone & Katsiaryna Mirylenka & Fabio Casati & Maurizio Marchese, 2013. "On peer review in computer science: analysis of its effectiveness and suggestions for improvement," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(2), pages 317-356, November.
    13. Henry Small & Phineas Upham, 2009. "Citation structure of an emerging research area on the verge of application," Scientometrics, Springer;Akadémiai Kiadó, vol. 79(2), pages 365-375, May.
    14. Murray Turoff & Starr Roxanne Hiltz, 1982. "The Electronic Journal: A Progress Report," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 33(4), pages 195-202, July.
    15. Naoki Shibata & Yuya Kajikawa & Yoshiyuki Takeda & Katsumori Matsushima, 2009. "Comparative study on methods of detecting research fronts using different types of citation," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(3), pages 571-580, March.
    16. Juan Miguel Campanario, 2009. "Rejecting and resisting Nobel class discoveries: accounts by Nobel Laureates," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(2), pages 549-565, November.
    17. Alan L. Porter & Ismael Rafols, 2009. "Is science becoming more interdisciplinary? Measuring and mapping six research fields over time," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(3), pages 719-745, December.
    18. Peder Olesen Larsen & Markus Ins, 2010. "The rate of growth in scientific publication and the decline in coverage provided by Science Citation Index," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(3), pages 575-603, September.
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    2. Gregorio González-Alcaide & Pedro Llorente & José M. Ramos, 2016. "Bibliometric indicators to identify emerging research fields: publications on mass gatherings," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 1283-1298, November.
    3. Zhichao Fang & Rodrigo Costas & Wencan Tian & Xianwen Wang & Paul Wouters, 2020. "An extensive analysis of the presence of altmetric data for Web of Science publications across subject fields and research topics," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2519-2549, September.
    4. Seyed Mahmoud Zanjirchi & Mina Rezaeian Abrishami & Negar Jalilian, 2019. "Four decades of fuzzy sets theory in operations management: application of life-cycle, bibliometrics and content analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1289-1309, June.
    5. Jinho Choi & Nina Shin & Yong Sik Chang, 2021. "Strategic Investment Decisions for Emerging Technology Fields in the Health Care Sector Based on M&A Analysis," Sustainability, MDPI, vol. 13(7), pages 1-20, March.

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