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

Fostering Data Sharing

Search Papers Authors Institutions Grants FAIR About

TheSindex

Fostering Data Sharing

Empowering the data sharing that empowers science — an open, citation-grounded index for datasets.

Product

Search
API
Explore
Rankings

Resources

Methodology
Data Sources
Documentation
Press

Organization

About
Team
Wikidata

© 2026 theSindex. All rights reserved.

Home
Authors
Leonardo Clemente

Leonardo Clemente

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: “Real-Time Forecasting of the COVID-19 Outbreak in Chinese Provinces: Machine Learning Approach Using Novel Digital Data and Estimates From Mechanistic Models”.

Real-Time Forecasting of the COVID-19 Outbreak in Chinese Provinces: Machine Learning Approach Using Novel Digital Data and Estimates From Mechanistic Models

Journal of Medical Internet Research(2020)10.2196/20285

N/A

0DataRank · unranked

79 citations

Leonardo Clemente, Canelle Poirier, Xiyu Ding, Matteo Chinazzi, Jessica T. Davis +3 more

Predicting dengue incidence leveraging internet-based data sources. A case study in 20 cities in Brazil

PLoS neglected tropical diseases(2022)10.1371/journal.pntd.0010071

N/A

0DataRank · unranked

18 citations

Fred Lu, Leonardo Clemente, Caroline O. Buckee, Mauricio Santillana, Gal Koplewitz

Using digital traces to build prospective and real-time county-level early warning systems to anticipate COVID-19 outbreaks in the United States

Science Advances(2023)10.1126/sciadv.abq0199

N/A

0DataRank · unranked

50 citations

Leonardo Clemente, Canelle Poirier, Kris V. Parag, Atreyee Majumder, Serge Masyn +3 more

Evaluation of FluSight influenza forecasting in the 2021-22 and 2022-23 seasons with a new target laboratory-confirmed influenza hospitalizations

medRxiv(2023)10.1101/2023.12.08.23299726

N/A

0DataRank · unranked

7 citations

Alexander E. Webber, Tomás M. León, Erin L. Murray, Monica Sun, Lauren A. White +95 more

Evaluation of FluSight influenza forecasting in the 2021–22 and 2022–23 seasons with a new target laboratory-confirmed influenza hospitalizations

Nature Communications(2024)10.1038/s41467-024-50601-9

N/A

0DataRank · unranked

57 citations

Alexander E. Webber, Tomás M. León, Erin L. Murray, Monica Sun, Lauren A. White +95 more

Fine-Grained Forecasting of COVID-19 Trends at the County Level in the United States

medRxiv(2024)10.1101/2024.01.13.24301248

N/A

0DataRank · unranked

3 citations

Leonardo Clemente, Xiang Pan, Junbong Jang, Mauricio Santillana, Kwonmoo Lee +1 more

Evaluation of FluSight influenza forecasting in the 2021–22 and 2022–23 seasons with a new target laboratory-confirmed influenza hospitalizations

UNC Libraries(2024)10.17615/3sv3-sj27

N/A

0DataRank · unranked

0 citations

Shaun Truelove, Wenxuan Ye, Alexander E. Webber, Avranil Basu, M. Ben-Nun +95 more

A prospective real-time transfer learning approach to estimate influenza hospitalizations with limited data

Epidemics(2025)10.1016/j.epidem.2025.100816

N/A

0DataRank · unranked

7 citations

Fred Lu, Leonardo Clemente, Mauricio Santillana, Austin G. Meyer

Fine-grained forecasting of COVID-19 trends at the county level in the United States

npj Digital Medicine(2025)10.1038/s41746-025-01606-1

N/A

0DataRank · unranked

4 citations

Leonardo Clemente, Xiang Pan, Junbong Jang, Mauricio Santillana, Kwonmoo Lee +1 more