Measures of success

Are we doing good research? The researcher's success is hard to measure directly, but there are some - quite reliable - indicators: regular contributions to high-quality, competitive conferences and journals, high citation rates in the target community, awards and academic distinctions. A number of reliable online sources can be used to find out "who is who" in computer science:

  • DBLP: the comprehensive bibliography of Computer Science
  • Google Scholar: an excellent search mechanism for scientific publications
  • CiteSeerX: search and citation analysis

Some portals also provide suitable rankings for authors, conferences, or publications:

  • Microsoft Academic Search (aka MS Libra): online rankings for authors, conferences, and publications in different thematical domains of Computer Science
  • CORE: pre-compiled rankings of conferences/journals (semi-automatic process of score assignments)
  • Publish or Perish: computation of impact metrics from bibliometry (such as Hirsch h-index), based on realtime results returned by Google Scholar

Novel trend: measuring impact through Social Media: Alt-Metrics

Paper rejected?

Most probably the paper was not good enough. Keep up, major revision, resubmission, got through! But maybe the contribution was just too much ahead of time? In this case, you are in good company! The common peer reviewing system does not easily accept too innovative, controversal ideas (btw, the underlying mechanism is explained - in a more general sense - in our CIKM'04 paper "Goal-oriented Methods And Meta Methods For Document Classification And Their Parameter Tuning", see Publications).

Less formally, there is a nice article on this phenomenon, coined "We are sorry to inform you". Read and relax a bit before the next submission deadline.