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

Mikhail Belkin

University of California San Diego

ORCID: 0009-0005-8633-3926
EngineeringComputer 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

1in 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 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 →

Papers

Driven by 2 papers. Top paper: Semi-Supervised Learning.

Semi-Supervised Learning

Academic Press Library in Signal Processing(2014)10.1016/b978-0-12-396502-8.00022-x
N/A
4.2DataRank · unranked
94 citations

Mikhail Belkin, Xueyuan Zhou

7644 citations

Partha Niyogi, Mikhail Belkin