Rodolfo M. Nayga

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 4 papers. Top paper: “Agent-based modeling insights into the optimal distribution of the Fresh Fruit and Vegetable Program”.

Agent-based modeling insights into the optimal distribution of the Fresh Fruit and Vegetable Program

Preventive Medicine Reports(2020)10.1016/j.pmedr.2020.101173

N/A

0DataRank · unranked

5 citations

Michael R. Thomsen, Rodolfo M. Nayga, Stephanie Schauder

A longitudinal analysis of fast-food exposure on child weight outcomes: Identifying causality through school transitions

Q Open(2020)10.1093/qopen/qoaa007

N/A

0DataRank · unranked

2 citations

Rodolfo M. Nayga, Michael R. Thomsen, Heather L. Rouse, Richard A. Dunn

Use of Machine Learning to Determine the Information Value of a BMI Screening Program

American Journal of Preventive Medicine(2021)10.1016/j.amepre.2020.10.016

N/A

0DataRank · unranked

25 citations

Michael R. Thomsen, Rodolfo M. Nayga, Anthony Goudie, Samane Zare

The effect of gender-specific labor market conditions on children’s weight

Health Economics Review(2021)10.1186/s13561-021-00345-9

N/A

0DataRank · unranked

3 citations

Michael R. Thomsen, Rodolfo M. Nayga, Anthony Goudie, Bongkyun Kim