Scott Collins
ORCID: 0000-0002-8117-164XAlso affiliated with Sailbri Cooper (United States)
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.
Indexed papers
Why this DataRank?
An author's DataRank is the sum of the DataRanks of all 1 indexed paper 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.
Yanhe Xiao, Zhicheng Jiao, Rujapa Thepumnoeysuk, Kasey Halsey, Jing Wu +17 more
Papers
Driven by 6 papers — median percentile 63. Top paper: “Machine Learning-Based Prediction of COVID-19 Severity and Progression to Critical Illness Using CT Imaging and Clinical Data”.
Yanhe Xiao, Zhicheng Jiao, Rujapa Thepumnoeysuk, Kasey Halsey, Jing Wu +17 more
Ji Whae Choi, Kasey Halsey, Thi My Linh Tran, B. R. Hsieh, Dongcui Wang +20 more
Cody James Moser, Mila Bertolo, Harry Lee-Rubin, Dorsa Amir, Constance M. Bainbridge +38 more
B. R. Hsieh, Nathaniel Rex, Peter M. Lauro, Scott Collins, Andrew S. Blum +4 more
Abhinav K. Misra, Scott Collins, Ryan DiGregorio, Amy Palmisciano, Pedram Heidari +5 more
Yuli Wang, Jing Wu, Wen-Chi Hsu, Vin Somasundaram, Lulu Bi +13 more