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

Alexis-Michel Mugabushaka

European Research Council

ORCID: 0000-0003-4624-568X
Computer ScienceDecision SciencesHealth 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 3%percentile
1.3Author DataRank

Indexed papers

5in 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 5 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 →

Top data-sharing exemplar

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

Funding COVID-19 research: Insights from an exploratory analysis using open data infrastructures

Quantitative Science Studies(2022)10.1162/qss_a_00212
Top 27%
0.740DataRank
Top 27%15 citations

Nees Jan van Eck, Ludo Waltman, Alexis-Michel Mugabushaka

Papers

Driven by 10 papers — median percentile 22. Top paper: “'Omics Data Sharing”.

'Omics Data Sharing

Science(2009)10.1126/science.1180598
N/A
7.5DataRank · unranked
152 citations

Amanda Collis, Tim Booth, Peter Dukes, Susan K. Gregurick, Karen Kennedy +19 more

Funding COVID-19 research: Insights from an exploratory analysis using open data infrastructures

Quantitative Science Studies(2022)10.1162/qss_a_00212
Top 27%
0.740DataRank
Top 27%15 citations

Nees Jan van Eck, Ludo Waltman, Alexis-Michel Mugabushaka

Rethinking Impact Factors: New Pathways in Journal Metrics

Faculty of 1000 Research Ltd(2019)10.7490/f1000research.1116751.1
N/A
0.575DataRank · unranked
9 citations

Liz Allen, Tindaro Cicero, Stephen Curry, Sarah de Rijcke, Annette Flanagin +24 more

Funding Covid-19 research: Insights from an exploratory analysis using open data infrastructures

arXiv (Cornell University)(2022)10.48550/arxiv.2202.11639
Top 42%
0.455DataRank
Top 42%3 citations

Nees Jan van Eck, Ludo Waltman, Alexis-Michel Mugabushaka

Funding Covid-19 research: Insights from an open data infrastructure

Leiden Repository (Leiden University)(2022)10.54900/rgrtzxx-nj4c28m-cef53
N/A
0.104DataRank · unranked
1 citations

Ludo Waltman, Nees Jan van Eck, Alexis-Michel Mugabushaka

Author response for "Funding Covid-19 research: Insights from an exploratory analysis using open data infrastructures"

(2022)10.1162/qss_a_00212/v2/response1
N/A
0.104DataRank · unranked
1 citations

Nees Jan van Eck, Ludo Waltman, Alexis-Michel Mugabushaka

Funding Covid-19 research: Insights from an exploratory analysis using open data infrastructures - Supplementary material

Zenodo (CERN European Organization for Nuclear Research)(2022)10.5281/zenodo.6112762
Top 78%
0.104DataRank
Top 78%1 citations

Nees Jan van Eck, Ludo Waltman, Alexis-Michel Mugabushaka

Funding Covid-19 research: Insights from an exploratory analysis using open data infrastructures - Supplementary material

Zenodo (CERN European Organization for Nuclear Research)(2022)10.5281/zenodo.6805409
Top 100%
0DataRank
Top 100%0 citations

Nees Jan van Eck, Ludo Waltman, Alexis-Michel Mugabushaka

Funding Covid-19 research: Insights from an open data infrastructure

(2022)10.54900/yh7pg-j1b71
N/A
0DataRank · unranked
0 citations

Ludo Waltman, Nees Jan van Eck, Alexis-Michel Mugabushaka

Funding Covid-19 research: Insights from an exploratory analysis using open data infrastructures - Supplementary material

Zenodo (CERN European Organization for Nuclear Research)(2022)10.5281/zenodo.6112761
Top 100%
0DataRank
Top 100%0 citations

Nees Jan van Eck, Ludo Waltman, Alexis-Michel Mugabushaka