Skip to main content
Log in

Computer science research: more production, less productivity

  • Published:
Scientometrics Aims and scope Submit manuscript

Abstract

It is commonly accepted that scientific research or, more precisely, the number of scientific publications, in computer science has greatly increased over the last few years. The reason would appear to be the pressure to publish, coined by the expression ”Publish or perish”, which is, among other things, necessary for promotions and applications for grants or projects. In this paper we have conducted a study that covers computer science publications from 1936 to 2010 in order to quantify this increase in publications regarding computing research. We have considered the computing conferences and journals available in the DBLP computer science bibliography (DBLP 2013) database, including more than 1.5 million papers, and more than 4 million authors (more than 900,000 different people), corresponding to about 1,000 different journals and 3,000 different conferences and workshops. Our study confirms and quantifies these increases with regard to the number of papers, number of authors, number of papers per author, etc. However, it also reaches a surprising conclusion: the real productivity of researchers has decreased throughout history. The reason for this decrease is the average number of authors per paper, which has grown significantly and is currently three.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

Notes

  1. As mentioned previously, the strong variations in certain years until the 1960′s that can be seen in some of the graphics shown in this paper are owing to the small amount of papers available in the area.

References

  • DBLP. (2013). The DBLP Computer Science Bibliography. http://www.informatik.uni-trier.de/~ley/db/index.html.

  • Fanelli, D. (2010). Do pressures to publish increase scientists’ bias? An empirical support from US states data. PLoS ONE, 5(4), e10271. doi:10.1371/journal.pone.0010271.

    Article  Google Scholar 

  • Ley, M. (2009). DBLP—some lessons learned. Proceedings of Very Large Data Base, 2(2), 1493–1500.

    MathSciNet  Google Scholar 

  • Ley, M., & Reuther, P. (2006). Maintaining an online bibliographical database: The problem of data quality. Revue des Nouvelles Technologies de l’Information RNTI-E-6. Cépaduès-Éditions, 2006, 5–10.

    Google Scholar 

  • Rudacille, D. (2006). Journal fever: Is the pressure to publish in high-profile journals harming science? Institute for Basic Biomedical Sciences. Johns Hopkins University School of Medicine. http://www.hopkinsmedicine.org/institute_basic_biomedical_sciences/news_events/articles_and_stories/employment/200604_journal_fever.html.

  • Smith, D. R. (2012). Impact factors, scientometrics and the history of citation-based research. Scientometrics, 92(2), 419–427.

    Article  Google Scholar 

  • Van Dalen, H. P., & Henkens, K. (2012). Intended and unintended consequences of a publish-or-perish culture: A worldwide survey. Journal of American Society for Information Science and Technology (Journal of Association for Information Science and Technology), 63(7), 1282–1293.

    Google Scholar 

  • Wren, J. D., Kozak, K. Z., Johnson, K. R., Deakyne, S. J., Schilling, L. M., & Dellavalle, R. P. (2007). The write position—A survey of perceived contributions to papers based on byline position and number of authors. European Molecular Biology Organization Reports, 8(11), 988–991.

    Google Scholar 

Download references

Acknowledgments

This research has been carried out in the framework of the following project: CoMobility (TIN2012-31104) financed by the Spanish Ministry of Economy and Competitiveness.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Belén Vela.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Cavero, J.M., Vela, B. & Cáceres, P. Computer science research: more production, less productivity. Scientometrics 98, 2103–2111 (2014). https://doi.org/10.1007/s11192-013-1178-2

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11192-013-1178-2

Keywords

Navigation