Literature DB >> 23420456

Search strategies along the academic lifecycle.

Edwin Horlings1, Thomas Gurney.   

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.

Entities:  

Keywords:  Academic careers; Agenda setting; Complex adaptive system; Lifecycle; Mapping science; Problem choice

Year:  2012        PMID: 23420456      PMCID: PMC3568475          DOI: 10.1007/s11192-012-0789-3

Source DB:  PubMed          Journal:  Scientometrics        ISSN: 0138-9130            Impact factor:   3.238


  8 in total

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Journal:  Sci Eng Ethics       Date:  2007-11-21       Impact factor: 3.525

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Authors:  Daniel Stokols; Kara L Hall; Brandie K Taylor; Richard P Moser
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4.  Scientific output and recognition: a study in the operation of the reward system in science.

Authors:  S Cole; J R Cole
Journal:  Am Sociol Rev       Date:  1967-06

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Authors:  L G Zucker; M R Darby
Journal:  Proc Natl Acad Sci U S A       Date:  1996-11-12       Impact factor: 11.205

6.  At what age do biomedical scientists do their best work?

Authors:  Matthew E Falagas; Vrettos Ierodiakonou; Vangelis G Alexiou
Journal:  FASEB J       Date:  2008-08-27       Impact factor: 5.191

7.  Characterizing a scientific elite: the social characteristics of the most highly cited scientists in environmental science and ecology.

Authors:  John N Parker; Christopher Lortie; Stefano Allesina
Journal:  Scientometrics       Date:  2010-05-06       Impact factor: 3.238

8.  The effects of aging on researchers' publication and citation patterns.

Authors:  Yves Gingras; Vincent Larivière; Benoît Macaluso; Jean-Pierre Robitaille
Journal:  PLoS One       Date:  2008-12-29       Impact factor: 3.240

  8 in total
  1 in total

1.  Do Nobel Laureates Create Prize-Winning Networks? An Analysis of Collaborative Research in Physiology or Medicine.

Authors:  Caroline S Wagner; Edwin Horlings; Travis A Whetsell; Pauline Mattsson; Katarina Nordqvist
Journal:  PLoS One       Date:  2015-07-31       Impact factor: 3.240

  1 in total

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