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A decade of database research publications: a look inside

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Abstract

The database management technology has played a vital role in the advancements of the information technology field. Database researchers are one of the key players and main sources to the growth of the database systems. They are playing a foundational role in creating the technological infrastructure from which database advancements evolve. We analyze the database research publications of nine top-tier and prestigious database research venues. In particular, we study the publications of four major core database technology conferences (SIGMOD, VLDB, ICDE, EDBT), two main theoretical database conferences (PODS, ICDT) and three database journals (TODS, VLDB Journal, TKDE) over a period of 10 years (2001–2010). Our analysis considers only regular papers as we do not include short papers, demo papers, posters, tutorials or panels into our statistics. In this study, we report the list of the authors with the highest number of publications for each conference/journal separately and in combined. We analyze the preference of the database research community towards publishing their work in prestigious conferences or major database journals. We report about the most successful co-authorship relationships in the database research community in the last decade. Finally, we analyze the growth in the number of research publications and the size of the research community in the last decade.

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Notes

  1. A scientist has index h if h of his N p papers have at least h citations each, and the other (N p  − h) papers have at most h citations each.

  2. Given a set of articles ranked in decreasing order of the number of citations that they received, the g-index is the (unique) largest number such that the top g articles received (together) at least g 2 citations.

  3. http://academic.research.microsoft.com/.

  4. http://scholar.google.co.

  5. http://dblp.uni-trier.de/xml/.

  6. http://www.cse.unsw.edu.au/~ssakr/DBStatistics/index.html.

  7. The reported h-index and g-index information is based on the Publish or Perish software (http://www.harzing.com/pop.htm).

  8. http://www.vldb.org/pvldb/.

References

  • Agrawal, D., Das, S., & Abbadi, A. E. (2010). Big data and cloud computing: New wine or just new bottles? Proceedings of the VLDB, 3(2), 1647–1648.

    Google Scholar 

  • Ailamaki, A., Haas, L. M., Jagadish, H. V., Maier, D., Ozsu, M. T., & Winslett, M. (2010). Time for our field to grow up. Proceedings of the VLDB, 3(2), 1658.

    Google Scholar 

  • Amin, M., & Mabe, M. (2000). Impact factors: Use and abuse. Perspectives in Publishing, 1, 1–6.

  • Anderson, T. R., Hankin, R. K. S., & Killworth, P. D. (2008). Beyond the Durfee square: Enhancing the h-index to score total publication output. Scientometrics, 76(3), 577–588.

    Article  Google Scholar 

  • Bernstein, P. A., DeWitt, D. J., Heuer, A., Ives, Z. G., Jensen, C. S., Meyer, H. et al. (2005). Database Publication Practices. In Vldb, Vienna, Austria (pp. 1241–1246). http://dblp.uni-trier.de/rec/bibtex/conf/vldb/BernsteinH07.

  • Chen, J., & Konstan, J. A. (2010). Conference paper selectivity and impact. Communications of the ACM, 53(6), 79–83.

    Google Scholar 

  • Egghe, L. (2006). Theory and practise of the g-index. Scientometrics, 69(1), 131–152.

    Article  MathSciNet  Google Scholar 

  • Florescu, D. (2004). Database research for the current millennium. In Icde, Boston, MA, USA (p. 866). http://dblp.uni-trier.de/rec/bibtex/conf/icde/Florescu04.

  • Fortnow, L. (2009). Viewpoint—Time for computer science to grow up. Communications of the ACM, 52(8), 33–35.

    Article  Google Scholar 

  • Halevy, A. Y. (2001). Answering queries using views: A survey. VLDB Journal, 10(4), 270–294.

    Article  MATH  Google Scholar 

  • Hellerstein, J. M., Chaudhuri, S., & Rosenblum, M. (Eds.). (2010). In Proceedings of the 1st ACM Symposium on Cloud Computing, SoCC 2010, Indianapolis, IN, 10–11 June, 2010. ACM, New York.

  • Hirsch, J. (2005). An index to quantify an individual’s scientific research output. Proceedings of the National Academy of Sciences, 102(46), 16569–16572.

    Google Scholar 

  • Krapivin, M., Marchese, M., & Casati, F. (2010). Exploring and understanding citation-based scientific metrics. Advances in Complex Systems, 13(1), 59–81.

    Google Scholar 

  • Larsen, P. O., and von Ins, M. (2010). The rate of growth in scientific publication and the decline in coverage provided by Science Citation Index. Scientometrics, 84(3), 575–603.

    Article  Google Scholar 

  • Lillquist, E., & Green, S. (2010). The discipline dependence of citation statistics. Scientometrics, 84(3), 749–762.

    Article  Google Scholar 

  • MacRoberts, M. H., & MacRoberts, B. R. (1996). Problems of citation analysis. Scientometrics, 36(3), 435–444.

    Article  Google Scholar 

  • Moro, M. M., Braganholo, V. P., Dorneles, C. F., Duarte, D., de Matos Galante, R., & dos Santos Mello, R. (2009). XML: Some papers in a haystack. SIGMOD Record, 38(2), 29–34.

    Article  Google Scholar 

  • Rahm, E., & Bernstein, P. A. (2001). A survey of approaches to automatic schema matching. VLDB Journal, 10(4), 334–350.

    Article  MATH  Google Scholar 

  • Rahm, E., & Thor, A. (2005). Citation analysis of database publications. SIGMOD Record, 34(4), 48–53.

    Article  Google Scholar 

  • Shi, X., Tseng, B. L., & Adamic, L. A. (2009). Information diffusion in computer science citation networks. In Icwsm, San Jose, California, USA. http://dblp.uni-trier.de/rec/bibtex/conf/icwsm/ShiTA09.

  • Sidiropoulos, A., Katsaros, D., & Manolopoulos, Y. (2007). Generalized Hirsch h-index for disclosing latent facts in citation networks. Scientometrics, 72(2), 253–280.

    Article  Google Scholar 

  • Snodgrass, R. T. (2003). Journal relevance. SIGMOD Record, 32(3), 11–15.

    Article  Google Scholar 

  • Yan, S., & Lee, D. (2007). Toward alternative measures for ranking venues: A case of database research community. In Jcdl, Vancouver, BC, Canada (pp. 235–244). http://dblp.uni-trier.de/rec/bibtex/conf/jcdl/YanL07.

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Correspondence to Sherif Sakr.

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Sakr, S., Alomari, M. A decade of database research publications: a look inside. Scientometrics 88, 521–533 (2011). https://doi.org/10.1007/s11192-011-0385-y

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