Benjamín Lucas

ORCID: 0000-0002-2021-3076

MathematicsSocial SciencesMedicinePhysics and AstronomyEngineering

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 3 papers. Top paper: “A spatiotemporal machine learning approach to forecasting COVID-19 incidence at the county level in the USA”.

A spatiotemporal machine learning approach to forecasting COVID-19 incidence at the county level in the USA

International Journal of Data Science and Analytics(2022)10.1007/s41060-021-00295-9

N/A

0DataRank · unranked

49 citations

Behzad Vahedi, Morteza Karimzadeh, Benjamín Lucas

Forecasting COVID-19 and Other Infectious Diseases for Proactive Policy: Artificial Intelligence Can Help

Journal of Urban Health(2023)10.1007/s11524-022-00714-7

N/A

0DataRank · unranked

1 citations

Thoại D. Ngô, Benjamín Lucas, Hamidreza Zoraghein, Morteza Karimzadeh

Integrating spatiotemporal features in LSTM for spatially informed COVID-19 hospitalization forecasting

International Journal of Geographical Information Systems(2025)10.1080/13658816.2025.2527266

N/A

0DataRank · unranked

3 citations

Thoại D. Ngô, Hamidreza Zoraghein, Benjamín Lucas, Morteza Karimzadeh, Zhongying Wang