Abstract
Digital Libraries are used on contexts beyond organization, archival and search. Here, we use them to extract bibliography data for proposing a new productivity index that emphasizes the venue and the year of the publication. Also, it changes the evaluation perspective from a researcher alone (index based on one’s own publications) to one’s contribution to a whole community. Overall, our results show that the new index considers researchers’ features that other well known indexes disregard, which allows a broader researchers’ productivity analysis.
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Note that other time granularities are possible (bi-annual, etc.).
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ACM Special Interest Groups: http://www.acm.org/sigs.
- 3.
- 4.
ACM memberships: http://awards.acm.org/grades-of-membership.cfm.
- 5.
We consider the first 202 researchers because at position 202\(^{nd}\), there is at least one representative from each SIG according to at least one metric.
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Work partially funded by CNPq and FAPEMIG, Brazil.
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Silva, T.H.P., da Silva, A.P.C., Moro, M.M. (2015). tc-index: A New Research Productivity Index Based on Evolving Communities. In: Kapidakis, S., Mazurek, C., Werla, M. (eds) Research and Advanced Technology for Digital Libraries. TPDL 2015. Lecture Notes in Computer Science(), vol 9316. Springer, Cham. https://doi.org/10.1007/978-3-319-24592-8_16
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