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

Evan L Ray

ORCID: 0000-0003-4035-0243
Social SciencesDecision SciencesMathematicsMedicine

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 2%percentile
4.5Author DataRank

Indexed papers

2in 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 2 indexed papers 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.

The United States COVID-19 Forecast Hub dataset

Scientific Data(2022)10.1038/s41597-022-01517-w
Top 9%
2.3DataRank
Top 9%131 citations

Yuxin Huang, Yijin Wang, Evan L Ray, Matthew Cornell, Johannes Bracher +95 more

Papers

Driven by 21 papers — median percentile 90. Top paper: “The United States COVID-19 Forecast Hub dataset”.

The United States COVID-19 Forecast Hub dataset

Scientific Data(2022)10.1038/s41597-022-01517-w
Top 9%
2.3DataRank
Top 9%131 citations

Yuxin Huang, Yijin Wang, Evan L Ray, Matthew Cornell, Johannes Bracher +95 more

The United States COVID-19 Forecast Hub dataset

medRxiv(2021)10.1101/2021.11.04.21265886
Top 10%
2.1DataRank
Top 10%52 citations

Yuxin Huang, Yijin Wang, Evan L Ray, Matthew Cornell, Johannes Bracher +15 more

Comparing trained and untrained probabilistic ensemble forecasts of COVID-19 cases and deaths in the United States

arXiv (Cornell University)(2022)10.48550/arxiv.2201.12387
N/A
0DataRank · unranked
3 citations

Logan Brooks, Jacob Bien, Matthew Biggerstaff, Nikos I Bosse, Johannes Bracher +10 more

Evaluation of an open forecasting challenge to assess skill of West Nile virus neuroinvasive disease prediction

Research Square(2022)10.21203/rs.3.rs-1992050/v1
N/A
0DataRank · unranked
3 citations

Sarabeth M. Mathis, J. Erin Staples, Marc Fischer, Christopher M. Barker, Charles B. Beard +25 more

Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations

eLife(2023)10.7554/elife.81916
N/A
0DataRank · unranked
104 citations

Hugo Gruson, Rok Grah, Helen Johnson, Rene Niehus, Bastian Prasse +95 more

Evaluation of an open forecasting challenge to assess skill of West Nile virus neuroinvasive disease prediction

Parasites & Vectors(2023)10.1186/s13071-022-05630-y
N/A
0DataRank · unranked
45 citations

Sarabeth M. Mathis, J. Erin Staples, Marc Fischer, Christopher M. Barker, Charles B. Beard +25 more

Assessing the utility of COVID-19 case reports as a leading indicator for hospitalization forecasting in the United States

Epidemics(2023)10.1016/j.epidem.2023.100728
N/A
0DataRank · unranked
7 citations

Yijin Wang, Meagan Burns, Rosa Ergas, Estee Y. Cramer, Evan L Ray +1 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

Assessing the utility of COVID-19 case reports as a leading indicator for hospitalization forecasting in the United States

medRxiv(2023)10.1101/2023.03.08.23286582
N/A
0DataRank · unranked
3 citations

Yijin Wang, Meagan Burns, Rosa Ergas, Estee Y. Cramer, Evan L Ray +1 more

Comparison of combination methods to create calibrated ensemble forecasts for seasonal influenza in the U.S.

Statistics in Medicine(2023)10.1002/sim.9884
N/A
0DataRank · unranked
0 citations

Evan L Ray, Thomas McAndrew, Nicholas G. Reich, Nutcha Wattanachit

Evaluating infectious disease forecasts with allocation scoring rules

arXiv (Cornell University)(2023)10.48550/arxiv.2312.16201
N/A
0DataRank · unranked
0 citations

Nicholas G. Reich, Benjamin Rogers, Evan L Ray, Aaron Gerding

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

Challenges of COVID-19 Case Forecasting in the US, 2020–2021

PLoS Computational Biology(2024)10.1371/journal.pcbi.1011200
N/A
0DataRank · unranked
33 citations

Estee Y. Cramer, Roberto Pagano, John M. Drake, Eamon B. O’Dea, Madeline Adee +95 more

Flusion: Integrating multiple data sources for accurate influenza predictions

Epidemics(2024)10.1016/j.epidem.2024.100810
N/A
0DataRank · unranked
15 citations

Yijin Wang, Russell D. Wolfinger, Nicholas G. Reich, Evan L Ray

Evaluating infectious disease forecasts with allocation scoring rules

Journal of the Royal Statistical Society Series A (Statistics in Society)(2024)10.1093/jrsssa/qnae136
N/A
0DataRank · unranked
5 citations

Nicholas G. Reich, Benjamin Rogers, Evan L Ray, Aaron Gerding

Optimizing the number of models included in outbreak forecasting ensembles

medRxiv(2024)10.1101/2024.01.05.24300909
N/A
0DataRank · unranked
2 citations

Minsu Kim, Lauren Ancel Meyers, Nicholas G. Reich, Evan L Ray, Spencer J. Fox

Multi-model ensembles in infectious disease and public health: Methods, interpretation, and implementation in R

medRxiv(2024)10.1101/2024.06.24.24309416
N/A
0DataRank · unranked
2 citations

Emily Howerton, Lucie Contamin, Harry Hochheiser, Anna Krystalli, Nicholas G. Reich +2 more

Flusion: Integrating multiple data sources for accurate influenza predictions

arXiv (Cornell University)(2024)10.48550/arxiv.2407.19054
N/A
0DataRank · unranked
0 citations

Yijin Wang, Russell D. Wolfinger, Nicholas G. Reich, Evan L Ray

Ensemble Forecasts of Coronavirus Disease 2019 (COVID-19) in the U.S.

medRxiv(2020)10.1101/2020.08.19.20177493
N/A
0DataRank · unranked
180 citations

Nutcha Wattanachit, Jarad Niemi, Abdul Hannan Kanji, Katie House, Estee Y. Cramer +34 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

Comparing trained and untrained probabilistic ensemble forecasts of COVID-19 cases and deaths in the United States

International Journal of Forecasting(2022)10.1016/j.ijforecast.2022.06.005
N/A
0DataRank · unranked
71 citations

Logan Brooks, Jacob Bien, Matthew Biggerstaff, Nikos I Bosse, Johannes Bracher +10 more