Ishan Sinha

MedicineComputer Science

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 1 paper. Top paper: “Machine Learning Offers Exciting Potential for Predicting Postprocedural Outcomes: A Framework for Developing Random Forest Models in IR”.

Machine Learning Offers Exciting Potential for Predicting Postprocedural Outcomes: A Framework for Developing Random Forest Models in IR

Journal of Vascular and Interventional Radiology(2020)10.1016/j.jvir.2019.11.030

N/A

0.489DataRank · unranked

25 citations

Dilum P. Aluthge, Elizabeth Chen, Indra Neil Sarkar, Sun Ho Ahn, Ishan Sinha