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

Luke Lindemann

ORCID: 0000-0003-2675-5244
Biochemistry, Genetics and Molecular BiologyArts and HumanitiesComputer ScienceHealth Professions

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 4%percentile
0.611Author 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 32%12 citations

Shuxin Zhou, Luke Lindemann, Gai Elhanan, Andrew J. Einstein, James Geller +2 more

Papers

Driven by 4 papers — median percentile 68. Top paper: Mining Concepts for a COVID Interface Terminology for Annotation of EHRs.

Top 32%12 citations

Shuxin Zhou, Luke Lindemann, Gai Elhanan, Andrew J. Einstein, James Geller +2 more

N/A
0.425DataRank · unranked
16 citations

Zhe He, Duo Wei, Vipina K. Keloth, Jungwei Fan, Luke Lindemann +4 more

10 citations

Joseph L. Goulet, Cynthia Brandt, Allison R. Warren, Jacob Eleazer, Melissa Skanderson +5 more

2 citations

Joseph L. Goulet, Cynthia Brandt, Allison R. Warren, Jacob Eleazer, Melissa Skanderson +5 more