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

Geert Litjens

Radboud University Nijmegen

ORCID: 0000-0003-1554-1291

Also affiliated with Radboud University Medical Center

MedicineImmunology and Microbiology

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 1%percentile
6.9Author 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 Medical Segmentation Decathlon

Nature Communications(2022)10.1038/s41467-022-30695-9
Top 3%
6.9DataRank
Top 3%1226 citations

Annika Reinke, Spyridon Bakas, Keyvan Farahani, Annette Kopp‐Schneider, Bennett A. Landman +53 more

Papers

Driven by 8 papers — median percentile 97. 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 Medical Segmentation Decathlon

Nature Communications(2022)10.1038/s41467-022-30695-9
Top 3%
6.9DataRank
Top 3%1226 citations

Annika Reinke, Spyridon Bakas, Keyvan Farahani, Annette Kopp‐Schneider, Bennett A. Landman +53 more

Common Limitations of Image Processing Metrics: A Picture Story

arXiv (Cornell University)(2021)10.48550/arxiv.2104.05642
N/A
3.4DataRank · unranked
87 citations

Minu D. Tizabi, Carole H. Sudre, Matthias Eisenmann, Tim Rädsch, Baumgartner, Michael +88 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
0.621DataRank · unranked
62 citations

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

Evaluating Tumor Quantification in Place of Proportions in Prostate Cancer: Principles of the ProQuant Group

European Urology(2025)10.1016/j.eururo.2025.11.013
N/A
0DataRank · unranked
0 citations

Samson W. Fine, Jorg R. Oddens, Auke Jager, Arnoud W. Postema, Harrie P. Beerlage +86 more

Predicting biochemical recurrence of prostate cancer with artificial intelligence

Communications Medicine(2022)10.1038/s43856-022-00126-3
N/A
0DataRank · unranked
40 citations

Jolique van Ipenburg, Jonathan Melamed, Angelo M. De Marzo, Elizabeth A. Platz, Bram van Ginneken +3 more

Deep Learning Methods for Lung Cancer Segmentation in Whole-Slide Histopathology Images—The ACDC@LungHP Challenge 2019

IEEE Journal of Biomedical and Health Informatics(2020)10.1109/jbhi.2020.3039741
N/A
0DataRank · unranked
154 citations

Jiehua Zhang, Tao Tan, Xichao Teng, Xiaoliang Sun, Hong Zhao +28 more