<p>Exploring the influence of star scientists on the academic trajectories of their collaborators is crucial for advancing scientific collaboration. To examine the peer effects of Nobel laureates on their coauthors, candidates for the Nobel Prize in Physics from 1930 to 1970s were selected as the data sample. Using whether or not the Nobel Prize was given as the outcome variable, we investigate the influence mechanism in depth by introducing the number of nominations and academic impact (measured as citations received from academic publications) as two mediators. Results show that candidates engaged in collaboration with Nobel winners have a lower probability of winning the Nobel Prize. Specially, collaborations with winners enhance the candidate's academic impact, subsequently improving the number of nominations and ultimately increasing the likelihood of awards. However, scientific collaboration also could reduce the number of nominations for candidates, consequently diminishing the probability of winning the award. This result implies that indirect peer effects accompanying scientific collaboration may exert complex influences on candidates' evaluations.</p>

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Do collaborations with Nobel laureates influence candidates to win the Nobel prize: from the analysis of Nobel laureates’ peer effects

  • Zikang Zhao,
  • Enyao Zhu,
  • Mingxin Lu,
  • Jin Shi

摘要

Exploring the influence of star scientists on the academic trajectories of their collaborators is crucial for advancing scientific collaboration. To examine the peer effects of Nobel laureates on their coauthors, candidates for the Nobel Prize in Physics from 1930 to 1970s were selected as the data sample. Using whether or not the Nobel Prize was given as the outcome variable, we investigate the influence mechanism in depth by introducing the number of nominations and academic impact (measured as citations received from academic publications) as two mediators. Results show that candidates engaged in collaboration with Nobel winners have a lower probability of winning the Nobel Prize. Specially, collaborations with winners enhance the candidate's academic impact, subsequently improving the number of nominations and ultimately increasing the likelihood of awards. However, scientific collaboration also could reduce the number of nominations for candidates, consequently diminishing the probability of winning the award. This result implies that indirect peer effects accompanying scientific collaboration may exert complex influences on candidates' evaluations.