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

Rahmatollah Beheshti

Nemours Children's Health System

ORCID: 0000-0001-8912-3063

Also affiliated with University of Delaware

Computer ScienceHealth ProfessionsMedicinePhysics and Astronomy

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

0.346Author 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 →

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

Associations of Longitudinal BMI-Percentile Classification Patterns in Early Childhood with Neighborhood-Level Social Determinants of Health

Childhood Obesity(2024)10.1089/chi.2023.0157

Top 51%

0.346DataRank

Top 51%7 citations

Thao-Ly T. Phan, Félice Lê‐Scherban, Daniel Eckrich, H. Timothy Bunnell, Rahmatollah Beheshti +1 more

Papers

Driven by 17 papers — median percentile 25. Top paper: “Associations of Longitudinal BMI-Percentile Classification Patterns in Early Childhood with Neighborhood-Level Social Determinants of Health”.

Associations of Longitudinal BMI-Percentile Classification Patterns in Early Childhood with Neighborhood-Level Social Determinants of Health

Childhood Obesity(2024)10.1089/chi.2023.0157

Top 51%

0.346DataRank

Top 51%7 citations

Thao-Ly T. Phan, Félice Lê‐Scherban, Daniel Eckrich, H. Timothy Bunnell, Rahmatollah Beheshti +1 more

Concurrent imputation and prediction on EHR data using bi-directional GANs

PubMed(2021)10.1145/3459930.3469512

N/A

0DataRank · unranked

27 citations

Thao-Ly T. Phan, H. Timothy Bunnell, Rahmatollah Beheshti, Mehak Gupta

Flexible-Window Predictions on Electronic Health Records

Proceedings of the AAAI Conference on Artificial Intelligence(2022)10.1609/aaai.v36i11.21520

N/A

0DataRank · unranked

8 citations

Raphael Poulain, Thao-Ly T. Phan, H. Timothy Bunnell, Rahmatollah Beheshti, Mehak Gupta

Predicting acute events using the movement patterns of older adults

(2022)10.1145/3535508.3545561

N/A

0DataRank · unranked

0 citations

Mary Elizabeth Bowen, Rahmatollah Beheshti, Ramin Ramazi

Improving Fairness in AI Models on Electronic Health Records: The Case for Federated Learning Methods

PubMed(2023)10.1145/3593013.3594102

N/A

0DataRank · unranked

63 citations

Mirza Farhan Bin Tarek, Rahmatollah Beheshti, Raphael Poulain

Improving Fairness in AI Models on Electronic Health Records: The Case for Federated Learning Methods

arXiv (Cornell University)(2023)10.48550/arxiv.2305.11386

N/A

0DataRank · unranked

1 citations

Mirza Farhan Bin Tarek, Rahmatollah Beheshti, Raphael Poulain

Reliable prediction of childhood obesity using only routinely collected EHRs may be possible

Obesity Pillars(2024)10.1016/j.obpill.2024.100128

N/A

0DataRank · unranked

8 citations

Daniel Eckrich, H. Timothy Bunnell, Thao-Ly T. Phan, Rahmatollah Beheshti, Mehak Gupta

Bias patterns in the application of LLMs for clinical decision support: A comprehensive study

PubMed(2024)10.48550/arxiv.2404.15149

N/A

0DataRank · unranked

7 citations

Hamed Fayyaz, Rahmatollah Beheshti, Raphael Poulain

HealthGAT: Node Classifications in Electronic Health Records using Graph Attention Networks

PubMed(2024)10.1109/chase60773.2024.00022

N/A

0DataRank · unranked

9 citations

Mehak Gupta, Rahmatollah Beheshti, Fahmida Liza Piya

Reliable prediction of childhood obesity using only routinely collected EHRs is possible

medRxiv(2024)10.1101/2024.01.29.24301945

N/A

0DataRank · unranked

1 citations

Thao-Ly T. Phan, Daniel Eckrich, H. Timothy Bunnell, Rahmatollah Beheshti, Mehak Gupta

Aligning (Medical) LLMs for (Counterfactual) Fairness

arXiv (Cornell University)(2024)10.48550/arxiv.2408.12055

N/A

0DataRank · unranked

1 citations

Hamed Fayyaz, Rahmatollah Beheshti, Raphael Poulain

HealthGAT: Node Classifications in Electronic Health Records using Graph Attention Networks

arXiv (Cornell University)(2024)10.48550/arxiv.2403.18128

N/A

0DataRank · unranked

0 citations

Mehak Gupta, Rahmatollah Beheshti, Fahmida Liza Piya

Reward Hacking Mitigation using Verifiable Composite Rewards

(2025)10.1145/3765612.3767230

N/A

0DataRank · unranked

1 citations

Rahmatollah Beheshti, Mirza Farhan Bin Tarek

HyMaTE: A Hybrid Mamba and Transformer Model for EHR Representation Learning

arXiv (Cornell University)(2025)10.1145/3765612.3767245

N/A

0DataRank · unranked

1 citations

Thao-Ly T. Phan, Rahmatollah Beheshti, Md Mozaharul Mottalib

Impact of COVID-19 Diagnosis on Weight Trajectories of Children in the US National COVID Cohort Collaborative

medRxiv(2025)10.1101/2025.01.03.25319927

Top 100%

0DataRank

Top 100%0 citations

Thao-Ly T. Phan, Carolyn T. Bramante, Christopher G. Chute, Lee A. Pyles, Rahmatollah Beheshti +1 more

Predicting progression patterns of type 2 diabetes using multi-sensor measurements

Smart Health(2021)10.1016/j.smhl.2021.100206

N/A

0DataRank · unranked

10 citations

Christine Perndorfer, Emily C. Soriano, Jean‐Philippe Laurenceau, Rahmatollah Beheshti, Ramin Ramazi

Fairness-Optimized Synthetic EHR Generation for Arbitrary Downstream Predictive Tasks

(2025)10.1145/3721201.3721373

N/A

0DataRank · unranked

0 citations

Raphael Poulain, Rahmatollah Beheshti, Mirza Farhan Bin Tarek