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

Paul F. Jäger

German Cancer Research Center

ORCID: 0000-0002-6243-2568

Also affiliated with Heidelberg University, Google (United Kingdom)

MedicineComputer Science

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
11.2Author DataRank

Indexed papers

3in 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 3 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.

The Liver Tumor Segmentation Benchmark (LiTS)

Medical Image Analysis(2022)10.1016/j.media.2022.102680
Top 2%
7.2DataRank
Top 2%1181 citations

Patrick Ferdinand Christ, Hongwei Li, Eugene Vorontsov, Avi Ben-Cohen, Georgios Kaissis +95 more

Papers

Driven by 9 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 Liver Tumor Segmentation Benchmark (LiTS)

Medical Image Analysis(2022)10.1016/j.media.2022.102680
Top 2%
7.2DataRank
Top 2%1181 citations

Patrick Ferdinand Christ, Hongwei Li, Eugene Vorontsov, Avi Ben-Cohen, Georgios Kaissis +95 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

How do deep-learning models generalize across populations? Cross-ethnicity generalization of COPD detection

Insights into Imaging(2024)10.1186/s13244-024-01781-x
Top 44%
0.424DataRank
Top 44%8 citations

Tobias Norajitra, Carsten T. Lüth, Tassilo Wald, Vivienn Weru, Marco Nolden +8 more

Current validation practice undermines surgical AI development

PubMed(2025)10.48550/arxiv.2511.03769
N/A
0DataRank · unranked
1 citations

Z. Li, Minu D. Tizabi, André, Pascaline, Marcel Knopp, Rother, Mika M. +90 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

Capturing COPD heterogeneity: anomaly detection and parametric response mapping comparison for phenotyping on chest computed tomography

Frontiers in Medicine(2024)10.3389/fmed.2024.1360706
N/A
0DataRank · unranked
9 citations

Tobias Norajitra, Carsten T. Lüth, Tassilo Wald, Vivienn Weru, Marco Nolden +8 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