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

Nur Rizzal Rosiyan

ORCID: 0000-0003-0401-471X
Computer ScienceSocial SciencesMedicine

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 6%percentile
0.188Author DataRank

Indexed papers

1in 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 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 β†’

Top data-sharing exemplar

The highest-impact dataset this researcher has shared, ranked by DataRank β€” the single contribution doing the most to lift their data-sharing standing.

Analysis and Visualization Data of Covid-19 Based on Scopus

Khizanah al-Hikmah Jurnal Ilmu Perpustakaan Informasi dan Kearsipan(2021)10.24252/v9i1a6
Top 66%
0.188DataRank
Top 66%2 citations

Nur Rizzal Rosiyan, Tupan Tupan

Papers

Driven by 1 paper β€” median percentile 34. Top paper: β€œAnalysis and Visualization Data of Covid-19 Based on Scopus”.

Analysis and Visualization Data of Covid-19 Based on Scopus

Khizanah al-Hikmah Jurnal Ilmu Perpustakaan Informasi dan Kearsipan(2021)10.24252/v9i1a6
Top 66%
0.188DataRank
Top 66%2 citations

Nur Rizzal Rosiyan, Tupan Tupan