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

Mats Rynge

University of Southern California

ORCID: 0000-0002-1779-7189
Decision SciencesComputer Science

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 2%percentile
3.9Author DataRank

Indexed papers

3in 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 3 indexed papers 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 8%85 citations

Andrew M. Watkins, Jose Chacon, Rachael C. Kretsch, Wipapat Kladwang, Ivan N. Zheludev +5 more

Papers

Driven by 4 papers — median percentile 87. Top paper: De novo3D models of SARS-CoV-2 RNA elements from consensus experimental secondary structures.

Top 8%85 citations

Andrew M. Watkins, Jose Chacon, Rachael C. Kretsch, Wipapat Kladwang, Ivan N. Zheludev +5 more

Top 19%21 citations

Andrew M. Watkins, Jose Chacon, Wipapat Kladwang, Ivan N. Zheludev, Jill Townley +4 more

N/A
0.312DataRank · unranked
7 citations

Mats Rynge, George Papadimitriou, Duncan A. Brown, Rajiv Mayani, Rafael Ferreira da Silva +5 more

29 citations

Rafael Ferreira da Silva, Karan Vahi, Mats Rynge, Rajiv Mayani, Ryan Tanaka +3 more