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

Nicholas J Dobbins

ORCID: 0000-0002-3598-8747
Computer ScienceHealth ProfessionsBiochemistry, Genetics and Molecular Biology

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 100%percentile
0Author 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.

Prompt-based Extraction of Social Determinants of Health Using Few-shot Learning

arXiv (Cornell University)(2023)10.48550/arxiv.2306.07170
Top 100%
0DataRank
Top 100%0 citations

Yujuan Fu, Bin Han, Kevin Lybarger, Nicholas J Dobbins, Özlem Uzuner +2 more

Papers

Driven by 8 papers — median percentile 0. Top paper: “Performance of Automatic De-identification Across Different Note Types”.

Performance of Automatic De-identification Across Different Note Types

arXiv (Cornell University)(2021)10.48550/arxiv.2102.11032
N/A
0DataRank · unranked
1 citations

David H. Wayne, Kahyun Lee, Özlem Uzuner, Meliha Yetişgen, Nicholas J Dobbins

Leveraging natural language processing to augment structured social determinants of health data in the electronic health record

Journal of the American Medical Informatics Association(2023)10.1093/jamia/ocad073
N/A
0DataRank · unranked
45 citations

Nicholas J Dobbins, Ritche Long, Angad Singh, Patrick Wedgeworth, Özlem Uzuner +2 more

LeafAI: query generator for clinical cohort discovery rivaling a human programmer

Journal of the American Medical Informatics Association(2023)10.1093/jamia/ocad149
N/A
0DataRank · unranked
10 citations

Bin Han, Weipeng Zhou, Kristine F Lan, H. Nina Kim, Robert A. Harrington +3 more

LeafAI: query generator for clinical cohort discovery rivaling a human programmer

arXiv (Cornell University)(2023)10.48550/arxiv.2304.06203
N/A
0DataRank · unranked
0 citations

Bin Han, Weipeng Zhou, Kristine F Lan, H. Nina Kim, Robert A. Harrington +3 more

Prompt-based Extraction of Social Determinants of Health Using Few-shot Learning

arXiv (Cornell University)(2023)10.48550/arxiv.2306.07170
Top 100%
0DataRank
Top 100%0 citations

Yujuan Fu, Bin Han, Kevin Lybarger, Nicholas J Dobbins, Özlem Uzuner +2 more

Generalizable and Scalable Multistage Biomedical Concept Normalization Leveraging Large Language Models

arXiv (Cornell University)(2024)10.48550/arxiv.2405.15122
N/A
0DataRank · unranked
0 citations

Nicholas J Dobbins

Towards cross-application model-agnostic federated cohort discovery

Journal of the American Medical Informatics Association(2024)10.1093/jamia/ocae211
N/A
0DataRank · unranked
0 citations

Michele Morris, Eugene M. Sadhu, Douglas MacFadden, Marc-Danie Nazaire, William Walter Simons +4 more

Automated survey collection with LLM-based conversational agents

JAMIA Open(2025)10.1093/jamiaopen/ooaf103
N/A
0DataRank · unranked
3 citations

Nicholas J Dobbins, Sean D. Mooney, Kurmanbek Kaiyrbekov