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

Fostering Data Sharing

Search Papers Authors Institutions Grants FAIR About

TheSindex

Fostering Data Sharing

Empowering the data sharing that empowers science — an open, citation-grounded index for datasets.

Product

Search
API
Explore
Rankings

Resources

Methodology
Data Sources
Documentation
Press

Organization

About
Team
Wikidata

© 2026 theSindex. All rights reserved.

Home
Authors
Saumya Thakur

Saumya Thakur

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

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 3 papers. Top paper: “DeepWEST: Deep learning of kinetic models with the Weighted Ensemble Simulation Toolkit for enhanced kinetic and thermodynamic sampling”.

DeepWEST: Deep learning of kinetic models with the Weighted Ensemble Simulation Toolkit for enhanced kinetic and thermodynamic sampling

ChemRxiv(2022)10.26434/chemrxiv-2022-k6dr2

N/A

0DataRank · unranked

2 citations

Saumya Thakur, Surl-Hee Ahn, Rommie E. Amaro, Anupam Anand Ojha

DeepWEST: Deep learning of kinetic models with the Weighted Ensemble Simulation Toolkit for enhanced sampling

ChemRxiv(2022)10.26434/chemrxiv-2022-k6dr2-v2

N/A

0DataRank · unranked

2 citations

Saumya Thakur, Surl-Hee Ahn, Rommie E. Amaro, Anupam Anand Ojha

DeepWEST: Deep learning of kinetic models with the Weighted Ensemble Simulation Toolkit for enhanced sampling

ChemRxiv(2022)10.26434/chemrxiv-2022-k6dr2-v3

N/A

0DataRank · unranked

1 citations

Saumya Thakur, Surl-Hee Ahn, Rommie E. Amaro, Anupam Anand Ojha