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

Jason Fries

Stanford University

ORCID: 0000-0001-9316-5768
MedicineComputer ScienceEnvironmental 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 5%percentile
0.497Author DataRank

Indexed papers

2in 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 2 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.

INSPECT: A Multimodal Dataset for Pulmonary Embolism Diagnosis and Prognosis

arXiv (Cornell University)(2023)10.48550/arxiv.2311.10798
Top 39%
0.497DataRank
Top 39%7 citations

Zepeng Huo, Ethan Steinberg, Chia‐Chun Chiang, Matthew P. Lungren, Curtis P. Langlotz +4 more

Papers

Driven by 12 papers — median percentile 61. Top paper: “Assessing the accuracy of automatic speech recognition for psychotherapy”.

Assessing the accuracy of automatic speech recognition for psychotherapy

npj Digital Medicine(2020)10.1038/s41746-020-0285-8
N/A
0.637DataRank · unranked
69 citations

Albert Haque, Jason Fries, Scott L. Fleming, Denise E. Wilfley, G. Terence Wilson +7 more

Characterizing the limitations of using diagnosis codes in the context of machine learning for healthcare

BMC Medical Informatics and Decision Making(2024)10.1186/s12911-024-02449-8
N/A
0.500DataRank · unranked
27 citations

Keith E. Morse, Catherine Aftandilian, Ethan Steinberg, Jason Fries, Jose Posada +6 more

INSPECT: A Multimodal Dataset for Pulmonary Embolism Diagnosis and Prognosis

arXiv (Cornell University)(2023)10.48550/arxiv.2311.10798
Top 39%
0.497DataRank
Top 39%7 citations

Zepeng Huo, Ethan Steinberg, Chia‐Chun Chiang, Matthew P. Lungren, Curtis P. Langlotz +4 more

Merlin: A Computed Tomography Vision-Language Foundation Model and Dataset

arXiv (Cornell University)(2024)10.48550/arxiv.2406.06512
N/A
0.345DataRank · unranked
9 citations

Ashwin Kumar, Joseph Cohen, Liu, Jiaming, Liu, Longchao, Dave Van Veen +35 more

Cardiac imaging of aortic valve area from 26,142 UK Biobank participants reveal novel genetic associations and shared genetic comorbidity with multiple disease phenotypes

medRxiv(2020)10.1101/2020.04.09.20060012
N/A
0.208DataRank · unranked
3 citations

Catherine Tcheandjieu, Jason Fries, Paroma Varma, Vincent S. Chen, Madalina Fiterau +11 more

Uncovering the linguistic characteristics of psychotherapy: a computational approach to measure therapist language timing, responsiveness, and consistency

medRxiv(2022)10.1101/2022.04.24.22274227
N/A
0DataRank · unranked
3 citations

Scott L. Fleming, Albert Haque, Jason Fries, Tim Althoff, Denise E. Wilfley +8 more

Language models are an effective representation learning technique for electronic health record data

Journal of Biomedical Informatics(2020)10.1016/j.jbi.2020.103637
N/A
0DataRank · unranked
125 citations

Ken Jung, Jason Fries, Conor K. Corbin, Stephen Pfohl, Nigam H. Shah +1 more

Assessment of Extractability and Accuracy of Electronic Health Record Data for Joint Implant Registries

JAMA Network Open(2021)10.1001/jamanetworkopen.2021.1728
N/A
0DataRank · unranked
14 citations

John W. Radin, Alison Callahan, Jason Fries, Eni Halilaj, Christopher Ré +4 more

Context Clues: Evaluating Long Context Models for Clinical Prediction Tasks on EHRs

arXiv (Cornell University)(2024)10.48550/arxiv.2412.16178
N/A
0DataRank · unranked
2 citations

Suhana Bedi, Miguel Hernandez, Ethan Steinberg, Jason Fries, Christopher Ré +3 more

Time-to-Event Pretraining for 3D Medical Imaging

arXiv (Cornell University)(2024)10.48550/arxiv.2411.09361
N/A
0DataRank · unranked
0 citations

Jason Fries, Alejandro Lozano, Jeya Maria Jose Valanarasu, Ethan Steinberg, Louis Blankemeier +4 more

Merlin: A Vision Language Foundation Model for 3D Computed Tomography

Research Square(2024)10.21203/rs.3.rs-4546309/v1
N/A
0DataRank · unranked
57 citations

Joseph Cohen, Ashwin Kumar, Dave Van Veen, Syed Jamal Safdar Gardezi, Magda Paschali +26 more

A computational approach to measure the linguistic characteristics of psychotherapy timing, responsiveness, and consistency

npj Mental Health Research(2022)10.1038/s44184-022-00020-9
N/A
0DataRank · unranked
12 citations

Scott L. Fleming, Albert Haque, Jason Fries, Tim Althoff, Denise E. Wilfley +8 more