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Search strategies along the academic lifecycle

Author

Listed:
  • Edwin Horlings

    (Rathenau Institute)

  • Thomas Gurney

    (Rathenau Institute)

Abstract

Understanding how individual scientists build a personal portfolio of research is key to understanding outcomes on the level of scientific fields, institutions, and systems. We lack the scientometric and statistical instruments to examine the development over time of the involvement of researchers in different problem areas. In this paper we present a scientometric method to map, measure, and compare the entire corpus of individual scientists. We use this method to analyse the search strategies of 43 condensed matter physicists along their academic lifecycle. We formulate six propositions that summarise our theoretical expectations and are empirically testable: (1) a scientist’s work consists of multiple finite research trails; (2) a scientist will work in several parallel research trails; (3) a scientist’s role in research trail selection changes along the lifecycle; (4) a scientist’s portfolio will converge before it diverges; (5) the rise and fall of research trails is associated with career changes; and (6) the rise and fall of research trails is associated with the potential for reputational gain. Four propositions are confirmed, the fifth is rejected, and the sixth could not be confirmed or rejected. In combination, the results of the four confirmed propositions reveal specific search strategies along the academic lifecycle. In the PhD phase scientists work in one problem area that is often unconnected to the later portfolio. The postdoctoral phase is where scientists diversify their portfolio and their social network, entering various problem areas and abandoning low-yielding ones. A professor has a much more stable portfolio, leading the work of PhDs and postdoctoral researchers. We present an agenda for future research and discuss theoretical and policy implications.

Suggested Citation

  • Edwin Horlings & Thomas Gurney, 2013. "Search strategies along the academic lifecycle," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 1137-1160, March.
    • Handle: RePEc:spr:scient:v:94:y:2013:i:3:d:10.1007_s11192-012-0789-3
    DOI: 10.1007/s11192-012-0789-3
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    References listed on IDEAS

    as
    1. Iina Hellsten & Renaud Lambiotte & Andrea Scharnhorst & Marcel Ausloos, 2007. "Self-citations, co-authorships and keywords: A new approach to scientists’ field mobility?," Scientometrics, Springer;Akadémiai Kiadó, vol. 72(3), pages 469-486, September.
    2. Joshua Drucker & Harvey Goldstein, 2007. "Assessing the Regional Economic Development Impacts of Universities: A Review of Current Approaches," International Regional Science Review, , vol. 30(1), pages 20-46, January.
    3. Peter van den Besselaar & Gaston Heimeriks, 2006. "Mapping research topics using word-reference co-occurrences: A method and an exploratory case study," Scientometrics, Springer;Akadémiai Kiadó, vol. 68(3), pages 377-393, September.
    4. K. Brad Wray, 2010. "Rethinking the size of scientific specialties: correcting Price’s estimate," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(2), pages 471-476, May.
    5. Richard Klavans & Kevin W. Boyack, 2011. "Using global mapping to create more accurate document-level maps of research fields," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(1), pages 1-18, January.
    6. Carayol, Nicolas & Matt, Mireille, 2004. "Does research organization influence academic production?: Laboratory level evidence from a large European university," Research Policy, Elsevier, vol. 33(8), pages 1081-1102, October.
    7. Jarneving, Bo, 2007. "Bibliographic coupling and its application to research-front and other core documents," Journal of Informetrics, Elsevier, vol. 1(4), pages 287-307.
    8. Stephan, Paula E., 2010. "The Economics of Science," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 1, chapter 0, pages 217-273, Elsevier.
    9. Hendrik P. van Dalen & K?ne Henkens, 2005. "Signals in science - On the importance of signaling in gaining attention in science," Scientometrics, Springer;Akadémiai Kiadó, vol. 64(2), pages 209-233, August.
    10. Carayol, Nicolas & Matt, Mireille, 2006. "Individual and collective determinants of academic scientists' productivity," Information Economics and Policy, Elsevier, vol. 18(1), pages 55-72, March.
    11. 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.
    12. Ismael Rafols & Alan L. Porter & Loet Leydesdorff, 2010. "Science overlay maps: A new tool for research policy and library management," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(9), pages 1871-1887, September.
    13. Kevin W. Boyack & Richard Klavans, 2010. "Co‐citation analysis, bibliographic coupling, and direct citation: Which citation approach represents the research front most accurately?," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(12), pages 2389-2404, December.
    14. Diana Lucio‐Arias & Loet Leydesdorff, 2009. "An indicator of research front activity: Measuring intellectual organization as uncertainty reduction in document sets," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(12), pages 2488-2498, December.
    15. Robert Braam & Peter van den Besselaar, 2010. "Life cycles of research groups: the case of CWTS," Research Evaluation, Oxford University Press, vol. 19(3), pages 173-184, September.
    16. Wagner, Caroline S. & Leydesdorff, Loet, 2005. "Network structure, self-organization, and the growth of international collaboration in science," Research Policy, Elsevier, vol. 34(10), pages 1608-1618, December.
    17. James S. Dietz & Ivan Chompalov & Barry Bozeman & Eliesh O'Neil Lane & Jongwon Park, 2000. "Using the Curriculum Vita to Study the Career Paths of Scientists and Engineers: An Exploratory Assessment," Scientometrics, Springer;Akadémiai Kiadó, vol. 49(3), pages 419-442, November.
    18. van Rijnsoever, Frank J. & Hessels, Laurens K. & Vandeberg, Rens L.J., 2008. "A resource-based view on the interactions of university researchers," Research Policy, Elsevier, vol. 37(8), pages 1255-1266, September.
    19. 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.
    20. Levin, Sharon G & Stephan, Paula E, 1991. "Research Productivity over the Life Cycle: Evidence for Academic Scientists," American Economic Review, American Economic Association, vol. 81(1), pages 114-132, March.
    21. Michael Rauber & Heinrich W. Ursprung, 2008. "Life Cycle and Cohort Productivity in Economic Research: The Case of Germany," German Economic Review, Verein für Socialpolitik, vol. 9(4), pages 431-456, November.
    22. Dasgupta, Partha & Maskin, Eric, 1987. "The Simple Economics of Research Portfolios," Economic Journal, Royal Economic Society, vol. 97(387), pages 581-595, September.
    23. Richard Klavans & Kevin W. Boyack, 2011. "Using global mapping to create more accurate document‐level maps of research fields," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(1), pages 1-18, January.
    24. Michael Rauber & Heinrich W. Ursprung, 2008. "Life Cycle and Cohort Productivity in Economic Research: The Case of Germany," German Economic Review, Verein für Socialpolitik, vol. 9(4), pages 431-456, November.
    25. Frank J. van Rijnsoever & Laurens K. Hessels & Rens L.J. Vandeberg, 2008. "A resource-based view on the interactions of university researchers," Innovation Studies Utrecht (ISU) working paper series 08-14, Utrecht University, Department of Innovation Studies, revised Apr 2008.
    26. Bornmann, Lutz & Daniel, Hans-Dieter, 2010. "Citation speed as a measure to predict the attention an article receives: An investigation of the validity of editorial decisions at Angewandte Chemie International Edition," Journal of Informetrics, Elsevier, vol. 4(1), pages 83-88.
    27. Kevin W. Boyack & Richard Klavans, 2010. "Co-citation analysis, bibliographic coupling, and direct citation: Which citation approach represents the research front most accurately?," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(12), pages 2389-2404, December.
    28. Jeremy P. Birnholtz, 2007. "When do researchers collaborate? Toward a model of collaboration propensity," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 58(14), pages 2226-2239, December.
    29. Dietz, James S. & Bozeman, Barry, 2005. "Academic careers, patents, and productivity: industry experience as scientific and technical human capital," Research Policy, Elsevier, vol. 34(3), pages 349-367, April.
    30. Stewart, Jenny, 1995. "Models of priority-setting for public sector research," Research Policy, Elsevier, vol. 24(1), pages 115-126, January.
    31. Nicolas Carayol & Mireille Matt, 2004. "Does research organization influence academic production ?," Post-Print hal-00279014, HAL.
    32. Svein Kyvik & Terje Bruen Olsen, 2008. "Does the aging of tenured academic staff affect the research performance of universities?," Scientometrics, Springer;Akadémiai Kiadó, vol. 76(3), pages 439-455, September.
    33. Melin, Goran, 2000. "Pragmatism and self-organization: Research collaboration on the individual level," Research Policy, Elsevier, vol. 29(1), pages 31-40, January.
    34. Lepori, Benedetto, 2011. "Coordination modes in public funding systems," Research Policy, Elsevier, vol. 40(3), pages 355-367, April.
    35. Bozeman, Barry & Corley, Elizabeth, 2004. "Scientists' collaboration strategies: implications for scientific and technical human capital," Research Policy, Elsevier, vol. 33(4), pages 599-616, May.
    36. Hamid Bouabid, 2011. "Revisiting citation aging: a model for citation distribution and life-cycle prediction," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(1), pages 199-211, July.
    37. Calderini, Mario & Franzoni, Chiara & Vezzulli, Andrea, 2007. "If star scientists do not patent: The effect of productivity, basicness and impact on the decision to patent in the academic world," Research Policy, Elsevier, vol. 36(3), pages 303-319, April.
    38. John Seely Brown & Paul Duguid, 1991. "Organizational Learning and Communities-of-Practice: Toward a Unified View of Working, Learning, and Innovation," Organization Science, INFORMS, vol. 2(1), pages 40-57, February.
    Full references (including those not matched with items on IDEAS)

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