πŸ† Finalist β€” NIH Data Sharing Index (β€œS-Index”) Challenge

Ho-Jin Choi

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 β€” papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile
0Author DataRank

Indexed papers

2in pilot corpus
datarank_citation_only_1hop_v6Β· 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 β†’

Papers

Driven by 2 papers. Top paper: β€œControlled dropout: A different approach to using dropout on deep neural network”.

Controlled dropout: A different approach to using dropout on deep neural network

2017 IEEE International Conference on Big Data and Smart Computing (BigComp)(2017)10.1109/bigcomp.2017.7881693
N/A
2.5DataRank Β· unranked
40 citations

Han-Gyu Kim, Kyo-Joong Oh, Ho-Jin Choi, ByungSoo Ko

N/A
0.138DataRank Β· unranked
1 citations

Han-Gyu Kim, Ho-Jin Choi, Youjin Kim