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I would like to know whether any scientific study has tested a hypothesis relating number of publications to career advancement.

It is often suggested that hiring and promotion decisions at research institutions are based heavily on the number of publications produced. That is, one is more likely to get a tenure-track position and subsequently to get tenure if one has a larger number of publications (independent of quality). One could also introduce an opposing argument that large numbers of publications are negatively correlated with quality of work and therefore negatively impact career advancement. Are there any studies supporting either of these views?

Some remarks: I understand well that even if there is correlation it would not imply causation. Also, I suspect that the relation between publication quantity and career advancement is very different between disciplines and between world regions. I would be interested in studies that address the question globally or among some subset of academe.

I believe this question is different from Whether to publish one big paper or many smaller papers for a given research project?, since I am asking for general scientific studies rather than opinions.

I am aware that, for many reasons, reaching valid conclusions may be impossible. I am interested in whether it has been attempted.

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    Note also the reversed causality effect. Since successful researchers tend to have long list of publication, it is often falsely assumed that it is the explaining variable.
    – Cape Code
    Commented Apr 13, 2015 at 9:34
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    Interesting question. However, I assume you should make sure to think about survivor bias here - if having a bad publication record during your PhD makes you inelligible for TT and postdocs, and hence those people quit after a PhD, you will only see good track records when looking at tenure stats.
    – xLeitix
    Commented Apr 13, 2015 at 9:54
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    This will be hard. How do you operationalize "quality of work", if not through some publication-related metric like citations? If your success in obtaining grants is partly driven by your publications (because that's how people hear your name), then grants acquired will also be correlated with publications, without necessarily being a measure of "quality of work". Bottom line: I'm afraid there are so many issues with measurement and confounding that I would take any results of such a study with a large grain of salt. Commented Apr 13, 2015 at 10:56
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    Is this relevant: academia.stackexchange.com/a/3155/929
    – StrongBad
    Commented Apr 13, 2015 at 21:05
  • Do we need studies? I've had several tenure and promotion committees outright state a needed number of publications.
    – Fomite
    Commented May 7, 2015 at 2:13

2 Answers 2

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There's quite a bit of this sort of thing in economics. One early and now classic study, Katz 1973, performs a regression of salary on the number of books, articles, "excellent articles", and other variables associated with a faculty member, and finds what seems to me to be very low impact of publication on annual salary even in 1973 dollars: an article is worth $18 and an excellent article worth $102 in annual salary.

A later study Diamond 1986, estimates the marginal value of a citation on lifetime salary: somewhere in the $50 to $1300 range (!!). Note that is in economics where citations are somewhat stingy, back before people started gaming citation rates as much as they do today.

Since there has been a huge volume of publications on the determinants of faculty salary within the economics literature. For some reason, this particular labor market has been of exceptional interest to academic economists.

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  • It's interesting to imagine oneself as distributing money when citing other people's work.
    – user8001
    Commented May 7, 2015 at 13:26
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In biology, there was a recent study relating publication metrics (including quantity of publications) to odds of becoming a PI. A summary of the article is here and the full article is here.

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    Can you provide a bit more of a summary of this article in your answer please? Answers that depend almost entirely on an external resource have a tendency to decay badly over time.
    – jakebeal
    Commented May 7, 2015 at 2:06

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