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

Ádám Halász

West Virginia University

ORCID: 0000-0001-5401-000X
Biochemistry, Genetics and Molecular BiologyComputer ScienceEngineering

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 6%percentile
0.174Author 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.

Enhanced SARS-CoV-2 case prediction using public health data and machine learning models

JAMIA Open(2024)10.1093/jamiaopen/ooae014
Top 67%
0.174DataRank
Top 67%2 citations

Maryam Khodaverdi, Brian Hendricks, Gordon S. Smith, Wesley Kimble, Ádám Halász +4 more

Papers

Driven by 7 papers — median percentile 33. Top paper: “Enhanced SARS-CoV-2 case prediction using public health data and machine learning models”.

Enhanced SARS-CoV-2 case prediction using public health data and machine learning models

JAMIA Open(2024)10.1093/jamiaopen/ooae014
Top 67%
0.174DataRank
Top 67%2 citations

Maryam Khodaverdi, Brian Hendricks, Gordon S. Smith, Wesley Kimble, Ádám Halász +4 more

Predicting increases in COVID-19 incidence to identify locations for targeted testing in West Virginia: A machine learning enhanced approach

medRxiv(2021)10.1101/2021.10.06.21264569
N/A
0DataRank · unranked
2 citations

Maryam Khodaverdi, Ádám Halász, Brian Hendricks, Wesley Kimble, Gordon S. Smith +2 more

SARS-CoV-2 Variant Identification Using a Genome Tiling Array and Genotyping Probes

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.05.11.443659
N/A
0DataRank · unranked
1 citations

Emily N. Alden, Kendall Hoff, Xun Ding, Jiayi Sun, Ádám Halász +3 more

Predicting increases in COVID-19 incidence to identify locations for targeted testing in West Virginia: A machine learning enhanced approach

PLoS ONE(2021)10.1371/journal.pone.0259538
N/A
0DataRank · unranked
10 citations

Maryam Khodaverdi, Ádám Halász, Brian Hendricks, Wesley Kimble, Gordon S. Smith +2 more

If you build it, will they come? Is test site availability a root cause of geographic disparities in COVID-19 testing?

Public Health(2022)10.1016/j.puhe.2022.09.009
N/A
0DataRank · unranked
10 citations

Bradley S. Price, Timothy Dotson, Wesley Kimble, Sherri Davis, Maryam Khodaverdi +4 more

Sars-Cov-2 Variant Identification Using a Genome Tiling Array and Genotyping Probes

Personalized Medicine(2023)10.2217/pme-2022-0013
N/A
0DataRank · unranked
4 citations

Emily N. Alden, Kendall Hoff, Xun Ding, Jiayi Sun, Ádám Halász +3 more

Modeling the Cluster Size Distribution of Vascular Endothelial Growth Factor (VEGF) Receptors

Bioinformatics and Biology Insights(2022)10.1177/11779322221085078
N/A
0DataRank · unranked
4 citations

Michael J. Wester, Jeremy S. Edwards, Ádám Halász, Emine Güven