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

Erich Seamon

University of Idaho

ORCID: 0000-0003-2073-4346

Also affiliated with Baylor University

MathematicsAgricultural and Biological SciencesPsychologySocial Sciences

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 9 papers. Top paper: “Effects of trust, risk perception, and health behavior on COVID-19 disease burden: Evidence from a multi-state US survey”.

Effects of trust, risk perception, and health behavior on COVID-19 disease burden: Evidence from a multi-state US survey

PLoS ONE(2022)10.1371/journal.pone.0268302
N/A
0.963DataRank · unranked
31 citations

Dilshani Sarathchandra, Erich Seamon, Helen Brown, Fok-Yan Leung, Maureen Johnson-León +4 more

Spatial Modeling of Sociodemographic Risk for COVID-19 Mortality

medRxiv(2023)10.1101/2023.07.21.23292785
N/A
0.213DataRank · unranked
2 citations

Benjamin J. Ridenhour, Craig R. Miller, Jennifer Johnson­-Leung, Erich Seamon

Application of Elastic Net Regression for Modeling COVID-19 Sociodemographic Risk Factors

medRxiv(2023)10.1101/2023.01.19.23284288
N/A
0DataRank · unranked
1 citations

Jennifer Johnson­-Leung, Erich Seamon, Christopher J. Williams, Benjamin J. Ridenhour, Tristan A. Moxley

Estimating county level health indicators using spatial microsimulation

Population Space and Place(2023)10.1002/psp.2647
N/A
0DataRank · unranked
0 citations

Mohamed Megheib, Christopher J. Williams, Christopher F. Murphy, Helen Brown, Erich Seamon

Application of elastic net regression for modeling COVID-19 sociodemographic risk factors

PLoS ONE(2024)10.1371/journal.pone.0297065
N/A
0DataRank · unranked
14 citations

Jennifer Johnson­-Leung, Erich Seamon, Christopher J. Williams, Benjamin J. Ridenhour, Tristan A. Moxley

Leveraging machine learning to study how temperament scores predict pre-term birth status

Global Pediatrics(2024)10.1016/j.gpeds.2024.100220
N/A
0DataRank · unranked
1 citations

Jennifer A. Mattera, Sarah A. Keim, Esther M. Leerkes, Jennifer L. Rennels, Andrea J. Kayl +19 more

Effects of trust, risk perception, and health behavior on COVID-19 disease burden: Evidence from a multi-state US survey

medRxiv(2021)10.1101/2021.11.17.21266481
N/A
0DataRank · unranked
4 citations

Dilshani Sarathchandra, Erich Seamon, Helen Brown, Fok-Yan Leung, Maureen Johnson-León +4 more

Fetal attachment and infant temperament: The mediating role of perinatal mental health

Journal of Affective Disorders(2025)10.1016/j.jad.2025.120927
N/A
0DataRank · unranked
0 citations

Magen E. Lowe, Erich Seamon, Maria A. Gartstein, Victoria Jones

Using machine learning to understand age and gender classification based on infant temperament

PLoS ONE(2022)10.1371/journal.pone.0266026
N/A
0DataRank · unranked
8 citations

Erich Seamon, Jennifer A. Mattera, Michelle Bosquet Enlow, Rosalind J. Wright, Koraly Pérez‐Edgar +26 more