🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Martin Krallinger

Barcelona Supercomputing Center

ORCID: 0000-0002-2646-8782

Also affiliated with Universitat Politècnica de Catalunya

Biochemistry, Genetics and Molecular BiologyComputer ScienceArts and Humanities

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 6%percentile
0.246Author DataRank

Indexed papers

1in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology
Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 1 indexed paper attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

Top data-sharing exemplar

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

Top 60%3 citations

Stephen M. Goralski, Ashley Mitchell, Andrew Simpson, Dorjan Leka, Emmanuel Kotey +9 more

Papers

Driven by 4 papers — median percentile 40. Top paper: Overview of the COVID-19 text mining tool interactive demonstration track in BioCreative VII.

3 citations

Lynette Hirschman, Karen Ross, Rose Oughtred, Martin Krallinger, Kara Dolinski +4 more

Top 60%3 citations

Stephen M. Goralski, Ashley Mitchell, Andrew Simpson, Dorjan Leka, Emmanuel Kotey +9 more

4 citations

Y. Li, P. Roberts, S. Jimenez, W. J. Wilbur, Ceri E. Van Slyke +27 more

76 citations

Ari Z Klein, Antonio Miranda-Escalada, Mohammed Ali Al-Garadi, Ilseyar Alimova, Zulfat Miftahutdinov +11 more