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

Aaron Gerding

University of Massachusetts Amherst

ORCID: 0000-0002-4850-8802
MathematicsMedicineDecision SciencesEconomics, Econometrics and Finance

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 11 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 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

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

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

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

UNC Libraries(2024)10.17615/k6z3-1y39
N/A
0DataRank · unranked
0 citations

Xing Xie, Weitong Zhang, Alison L. Hill, Brad Suchoski, Quanquan Gu +95 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