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

Thomas Strohmer

University of California, Davis

ORCID: 0000-0003-2029-3317
EngineeringMathematicsComputer 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 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 →

Papers

Driven by 16 papers. Top paper: “Use of machine-learning algorithms to aid in the early detection of leptospirosis in dogs”.

Use of machine-learning algorithms to aid in the early detection of leptospirosis in dogs

Journal of Veterinary Diagnostic Investigation(2022)10.1177/10406387221096781
N/A
0.464DataRank · unranked
21 citations

Shaofeng Deng, Junda Sheng, Jamie Sebastian, Zhe Wang, Sara N. Huebner +5 more

Differentially Private Low-dimensional Synthetic Data from High-dimensional Datasets

arXiv (Cornell University)(2023)10.48550/arxiv.2305.17148
N/A
0DataRank · unranked
1 citations

Thomas Strohmer, Roman Vershynin, Yizhe Zhu, Yiyun He

Covariance loss, Szemeredi regularity, and differential privacy

arXiv (Cornell University)(2023)10.48550/arxiv.2301.02705
N/A
0DataRank · unranked
0 citations

Thomas Strohmer, Roman Vershynin, March T. Boedihardjo

Semi-Supervised Clustering of Sparse Graphs: Crossing the Information-Theoretic Threshold

Journal of Machine Learning(2024)10.4208/jml.230624
N/A
0DataRank · unranked
2 citations

Thomas Strohmer, Junda Sheng

Private measures, random walks, and synthetic data

Probability Theory and Related Fields(2024)10.1007/s00440-024-01279-z
N/A
0DataRank · unranked
4 citations

Thomas Strohmer, Roman Vershynin, March T. Boedihardjo

On the (In)Compatibility between Group Fairness and Individual Fairness

arXiv (Cornell University)(2024)10.48550/arxiv.2401.07174
N/A
0DataRank · unranked
1 citations

Thomas Strohmer, Shizhou Xu

An Algorithm for Streaming Differentially Private Data

arXiv (Cornell University)(2024)10.48550/arxiv.2401.14577
N/A
0DataRank · unranked
0 citations

Thomas Strohmer, Roman Vershynin, Girish Kumar

Metric geometry of the privacy-utility tradeoff

arXiv (Cornell University)(2024)10.48550/arxiv.2405.00329
N/A
0DataRank · unranked
0 citations

Thomas Strohmer, Roman Vershynin, March T. Boedihardjo

Fair Data Representation for Machine Learning at the Pareto Frontier

PubMed(2022)10.48550/arxiv.2201.00292
N/A
0DataRank · unranked
3 citations

Thomas Strohmer, Shizhou Xu

Differentially Private Synthetic High-dimensional Tabular Stream

arXiv (Cornell University)(2024)10.48550/arxiv.2409.00322
N/A
0DataRank · unranked
0 citations

Thomas Strohmer, Roman Vershynin, Girish Kumar

WHOMP: Optimizing Randomized Controlled Trials via Wasserstein Homogeneity

arXiv (Cornell University)(2024)10.48550/arxiv.2409.18504
N/A
0DataRank · unranked
0 citations

Thomas Strohmer, Shizhou Xu

Convergence Analysis of the Alternating Anderson–Picard Method for Nonlinear Fixed-Point Problems

SIAM Journal on Scientific Computing(2025)10.1137/24m1676922
N/A
0DataRank · unranked
2 citations

M. Paul Laiu, Thomas Strohmer, Feng Xue

Multimodal Deep Learning for ARDS Detection

medRxiv(2025)10.1101/2025.08.08.25333333
N/A
0DataRank · unranked
2 citations

Jason Y. Adams, Girish Kumar, Rachael A. Callcut, Yuan Ni, Thomas Strohmer +1 more

Covariance loss, Szemeredi regularity, and differential privacy

Proceedings of the American Mathematical Society(2025)10.1090/proc/17126
N/A
0DataRank · unranked
0 citations

Thomas Strohmer, Roman Vershynin, March T. Boedihardjo

Machine Unlearning via Information Theoretic Regularization

arXiv (Cornell University)(2025)10.48550/arxiv.2502.05684
N/A
0DataRank · unranked
0 citations

Thomas Strohmer, Shizhou Xu

Convergence Analysis of the Alternating Anderson-Picard Method for Nonlinear Fixed-point Problems

arXiv (Cornell University)(2024)10.48550/arxiv.2407.10472
N/A
0DataRank · unranked
0 citations

M. Paul Laiu, Thomas Strohmer, Xue Feng