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

Michal Kozubek

Masaryk University

ORCID: 0000-0001-7902-589X
Biochemistry, Genetics and Molecular BiologyEngineering

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 2%percentile
3.6Author 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 →

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.

The Cell Tracking Challenge: 10 years of objective benchmarking

Nature Methods(2023)10.1038/s41592-023-01879-y
Top 6%
3.6DataRank
Top 6%229 citations

Vladimír Ulman, Pablo Delgado-Rodriguez, Estibaliz Gómez‐de‐Mariscal, Tereza Nečasová, Fidel A. Guerrero Peña +34 more

Papers

Driven by 10 papers — median percentile 94. Top paper: “Metrics reloaded: recommendations for image analysis validation”.

Metrics reloaded: recommendations for image analysis validation

Nature Methods(2024)10.1038/s41592-023-02151-z
N/A
9.2DataRank · unranked
411 citations

Annika Reinke, Patrick Godau, Minu D. Tizabi, Florian Buettner, Evangelia Christodoulou +68 more

The Cell Tracking Challenge: 10 years of objective benchmarking

Nature Methods(2023)10.1038/s41592-023-01879-y
Top 6%
3.6DataRank
Top 6%229 citations

Vladimír Ulman, Pablo Delgado-Rodriguez, Estibaliz Gómez‐de‐Mariscal, Tereza Nečasová, Fidel A. Guerrero Peña +34 more

Understanding metric-related pitfalls in image analysis validation

Nature Methods(2024)10.1038/s41592-023-02150-0
N/A
0.783DataRank · unranked
184 citations

Minu D. Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, Ali Emre Kavur +65 more

Metrics reloaded: Recommendations for image analysis validation

arXiv (Cornell University)(2022)10.48550/arxiv.2206.01653
N/A
0DataRank · unranked
62 citations

Annika Reinke, Patrick Godau, Minu D. Tizabi, Florian Buettner, Evangelia Christodoulou +69 more

BIAS: Transparent reporting of biomedical image analysis challenges

Medical Image Analysis(2020)10.1016/j.media.2020.101796
N/A
0DataRank · unranked
9 citations

Annika Reinke, Michal Kozubek, Anne L. Martel, Tal Arbel, Matthias Eisenmann +9 more

Author Correction: Federated learning enables big data for rare cancer boundary detection

Nature Communications(2023)10.1038/s41467-023-36188-7
N/A
0DataRank · unranked
5 citations

Ujjwal Baid, Brandon Edwards, Micah Sheller, Shih-han Wang, G. Anthony Reina +95 more

Why is the winner the best?

arXiv (Cornell University)(2023)10.48550/arxiv.2303.17719
N/A
0DataRank · unranked
1 citations

Annika Reinke, Vivienn Weru, Minu D. Tizabi, Fabian Isensee, Tim Adler +95 more

Why is the Winner the Best?

Amsterdam UMC (VU Amsterdam) - Institutional Repository(2023)10.1109/cvpr52729.2023.01911
N/A
0DataRank · unranked
6 citations

Andreas Reinke, Vivienn Weru, Minu D. Tizabi, Fabian Isensee, Thomas Adler +95 more

Common Limitations of Image Processing Metrics: A Picture Story

arXiv (Cornell University)(2021)10.48550/arxiv.2104.05642
N/A
0DataRank · unranked
87 citations

Minu D. Tizabi, Carole H. Sudre, Matthias Eisenmann, Tim Rädsch, Baumgartner, Michael +88 more

Federated learning enables big data for rare cancer boundary detection

Nature Communications(2022)10.1038/s41467-022-33407-5
N/A
0DataRank · unranked
352 citations

Ujjwal Baid, Brandon Edwards, Micah Sheller, Shih‐Han Wang, G. Anthony Reina +95 more