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

Tarik K. Alkasab

Harvard University

ORCID: 0000-0002-4433-9482

Also affiliated with Massachusetts General Hospital

MedicineHealth Professions

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: “Multi-Radiologist User Study for Artificial Intelligence-Guided Grading of COVID-19 Lung Disease Severity on Chest Radiographs”.

Multi-Radiologist User Study for Artificial Intelligence-Guided Grading of COVID-19 Lung Disease Severity on Chest Radiographs

Academic Radiology(2021)10.1016/j.acra.2021.01.016
N/A
0DataRank · unranked
20 citations

Brent P. Little, Tarik K. Alkasab, Dexter P. Mendoza, Marc D. Succi, Jo-Anne O. Shepard +3 more

Implementation of Clinical Artificial Intelligence in Radiology: Who Decides and How?

Radiology(2022)10.1148/radiol.212151
N/A
0DataRank · unranked
127 citations

Walter F. Wiggins, Matthew P. Lungren, Tarik K. Alkasab, Nina Kottler, Bibb Allen +8 more

Developing Algorithm-Based Recommendations in the ACR: Defining a New Process

Journal of the American College of Radiology(2025)10.1016/j.jacr.2025.09.018
N/A
0DataRank · unranked
0 citations

Jenny K. Hoang, Tarik K. Alkasab, Jacqueline A. Bello, Lincoln L. Berland, J. Bronner +9 more