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

Igor Burstyn

Drexel University

ORCID: 0000-0002-7153-4478
Environmental ScienceMedicineHealth Professions

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 7%percentile
0.104Author 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.

Quantifying the primary care workforce in the U.S.: A validation study with and without an imperfectly measured referent standard

Annals of Epidemiology(2025)10.1016/j.annepidem.2025.06.011
Top 78%
0.104DataRank
Top 78%1 citations

Scott D. Siegel, Paul Yerkes, Jan M. Eberth, Igor Burstyn, Neal D. Goldstein +1 more

Papers

Driven by 9 papers — median percentile 11. Top paper: “Towards reduction in bias in epidemic curves due to outcome misclassification through Bayesian analysis of time-series of laboratory test results: case study of COVID-19 in Alberta, Canada and Philadelphia, USA”.

Towards reduction in bias in epidemic curves due to outcome misclassification through Bayesian analysis of time-series of laboratory test results: case study of COVID-19 in Alberta, Canada and Philadelphia, USA

BMC Medical Research Methodology(2020)10.1186/s12874-020-01037-4
N/A
0.524DataRank · unranked
32 citations

Neal D. Goldstein, Paul Gustafson, Igor Burstyn

A participatory approach to designing and implementing an occupational health intervention for the nail salon community in the Greater Philadelphia region

Annals of Work Exposures and Health(2023)10.1093/annweh/wxad044
N/A
0.241DataRank · unranked
4 citations

Dương Nguyễn, Nga Vũ, Lucy Robinson, Emily Trần, Nancy K. Nguyen +3 more

Towards reduction in bias in epidemic curves due to outcome misclassification through Bayesian analysis of time-series of laboratory test results: Case study of COVID-19 in Alberta, Canada and Philadelphia, USA

medRxiv(2020)10.1101/2020.04.08.20057661
N/A
0.208DataRank · unranked
3 citations

Neal D. Goldstein, Paul Gustafson, Igor Burstyn

Assessing occupational styrene exposure in the European and US Glass Reinforced Plastics Industry for the period between 1947 and 2020

International Journal of Hygiene and Environmental Health(2024)10.1016/j.ijheh.2024.114494
N/A
0.104DataRank · unranked
1 citations

Igor Burstyn, Mette Wulf Christensen, Hilde Notø, Kurt Straíf, ­Eero Pukkala +7 more

Quantifying the primary care workforce in the U.S.: A validation study with and without an imperfectly measured referent standard

Annals of Epidemiology(2025)10.1016/j.annepidem.2025.06.011
Top 78%
0.104DataRank
Top 78%1 citations

Scott D. Siegel, Paul Yerkes, Jan M. Eberth, Igor Burstyn, Neal D. Goldstein +1 more

Inferring Population HIV Viral Load From a Single HIV Clinic’s Electronic Health Record: Simulation Study With a Real-World Example

Online Journal of Public Health Informatics(2024)10.2196/58058
N/A
0DataRank · unranked
4 citations

Justin Jones, Deborah Kahal, Igor Burstyn, Neal D. Goldstein

Prerequisite for Imputing Non-detects among Airborne Samples in OSHA’s IMIS Databank: Prediction of Sample’s Volume

Annals of Work Exposures and Health(2023)10.1093/annweh/wxad017
Top 100%
0DataRank
Top 100%0 citations

Philippe Sarazin, George Luta, Melissa C. Friesen, Laurel Kincl, Jérôme Lavoué +1 more

Automated Coding of Job Descriptions From a General Population Study: Overview of Existing Tools, Their Application and Comparison

Annals of Work Exposures and Health(2023)10.1093/annweh/wxad002
N/A
0DataRank · unranked
14 citations

Calvin Ge, Melissa C. Friesen, Sarah J. Locke, D. Russ, Igor Burstyn +9 more

Towards reduction in bias in epidemic curves due to outcome misclassification through Bayesian analysis of time-series of laboratory test results: Case study of COVID-19 in Alberta, Canada and Philadelphia, USA

OSF Preprints (OSF Preprints)(2020)10.31219/osf.io/qpgbk
N/A
0DataRank · unranked
3 citations

Neal D. Goldstein, Paul Gustafson, Igor Burstyn