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

Parantapa Bhattacharya

Biocom

ORCID: 0000-0002-3626-9939

Also affiliated with University of Virginia

MathematicsPhysics and AstronomyMedicine

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
0.363Author 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.

Role of heterogeneity: National scale data-driven agent-based modeling for the US COVID-19 Scenario Modeling Hub

Epidemics(2024)10.1016/j.epidem.2024.100779
Top 49%
0.363DataRank
Top 49%6 citations

Parantapa Bhattacharya, Stefan Hoops, Dustin Machi, Abhijin Adiga, Henning Mortveit +4 more

Papers

Driven by 15 papers — median percentile 51. Top paper: “Role of heterogeneity: National scale data-driven agent-based modeling for the US COVID-19 Scenario Modeling Hub”.

Role of heterogeneity: National scale data-driven agent-based modeling for the US COVID-19 Scenario Modeling Hub

Epidemics(2024)10.1016/j.epidem.2024.100779
Top 49%
0.363DataRank
Top 49%6 citations

Parantapa Bhattacharya, Stefan Hoops, Dustin Machi, Abhijin Adiga, Henning Mortveit +4 more

From 5Vs to 6Cs: Operationalizing Epidemic Data Management with COVID-19 Surveillance

medRxiv(2020)10.1101/2020.10.27.20220830
N/A
0DataRank · unranked
10 citations

Dawen Xie, Pramod Patil, Mandy Wilson, Dustin Machi, Srinivasan Venkatramanan +7 more

Prioritizing allocation of COVID-19 vaccines based on social contacts increases vaccination effectiveness

medRxiv(2021)10.1101/2021.02.04.21251012
N/A
0DataRank · unranked
71 citations

Stefan Hoops, Achla Marathe, Henning Mortveit, Bryan Lewis, Srinivasan Venkatramanan +12 more

Scalable Epidemiological Workflows to Support COVID-19 Planning and Response

(2021)10.1109/ipdps49936.2021.00072
N/A
0DataRank · unranked
18 citations

Parantapa Bhattacharya, Stefan Hoops, Jiangzhuo Chen, Henning Mortveit, Srinivasan Venkatramanan +7 more

Scalable Epidemiological Workflows to Support COVID-19 Planning and Response

medRxiv(2021)10.1101/2021.02.23.21252325
N/A
0DataRank · unranked
11 citations

Parantapa Bhattacharya, Stefan Hoops, Jiangzhuo Chen, Henning Mortveit, Srinivasan Venkatramanan +7 more

AI-Driven Agent-Based Models to Study the Role of Vaccine Acceptance in Controlling COVID-19 Spread in the US

2021 IEEE International Conference on Big Data (Big Data)(2021)10.1109/bigdata52589.2021.9671811
N/A
0DataRank · unranked
4 citations

Dustin Machi, Jiangzhuo Chen, Stefan Hoops, Bryan Lewis, Henning Mortveit +13 more

Projected resurgence of COVID-19 in the United States in July—December 2021 resulting from the increased transmissibility of the Delta variant and faltering vaccination

eLife(2022)10.7554/elife.73584
N/A
0DataRank · unranked
40 citations

Claire P. Smith, Michelle Qin, Luke C. Mullany, Rebecca K. Borchering, Justin Lessler +55 more

Data-driven scalable pipeline using national agent-based models for real-time pandemic response and decision support

The International Journal of High Performance Computing Applications(2022)10.1177/10943420221127034
N/A
0DataRank · unranked
21 citations

Jiangzhuo Chen, Stefan Hoops, Dustin Machi, Bryan Lewis, Srinivasan Venkatramanan +18 more

Effective Social Network-Based Allocation of COVID-19 Vaccines

Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining(2022)10.1145/3534678.3542673
N/A
0DataRank · unranked
21 citations

Stefan Hoops, Achla Marathe, Henning Mortveit, Bryan Lewis, Srinivasan Venkatramanan +12 more

Evaluation of the US COVID-19 Scenario Modeling Hub for informing pandemic response under uncertainty

Nature Communications(2023)10.1038/s41467-023-42680-x
N/A
0DataRank · unranked
61 citations

Lucie Contamin, Luke C. Mullany, Michelle Qin, Nicholas G. Reich, Samantha J. Bents +78 more

Potential impact of annual vaccination with reformulated COVID-19 vaccines: Lessons from the US COVID-19 scenario modeling hub

PLoS Medicine(2024)10.1371/journal.pmed.1004387
N/A
0DataRank · unranked
15 citations

Sara L. Loo, Emily Howerton, Lucie Contamin, Claire P. Smith, Erica C. Carcelén +54 more

Epihiper—A high performance computational modeling framework to support epidemic science

PNAS Nexus(2024)10.1093/pnasnexus/pgae557
N/A
0DataRank · unranked
8 citations

Stefan Hoops, Henning Mortveit, Bryan Lewis, Dustin Machi, Parantapa Bhattacharya +5 more

Novel multi-cluster workflow system to support real-time HPC-enabled epidemic science: Investigating the impact of vaccine acceptance on COVID-19 spread

Journal of Parallel and Distributed Computing(2024)10.1016/j.jpdc.2024.104899
N/A
0DataRank · unranked
6 citations

Dustin Machi, Jiangzhuo Chen, Stefan Hoops, Bryan Lewis, Henning Mortveit +13 more

From 5Vs to 6Cs: Operationalizing Epidemic Data Management with COVID-19 Surveillance

(2020)10.1109/bigdata50022.2020.9378435
N/A
0DataRank · unranked
14 citations

Dawen Xie, Pramod Patil, Mandy Wilson, Dustin Machi, Srinivasan Venkatramanan +7 more

Improving Risk Prediction of Methicillin-Resistant Staphylococcus aureus Using Machine Learning Methods With Network Features: Retrospective Development Study

JMIR AI(2024)10.2196/48067
N/A
0DataRank · unranked
3 citations

Jack Heavey, Alexander Song, Matthew Bielskas, Parantapa Bhattacharya, Gregory R. Madden +4 more