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

András Jakab

University of Zurich

ORCID: 0000-0001-6291-9889

Also affiliated with University Hospital of Zurich, University Children's Hospital Zurich

Social 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 — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 4%percentile
0.731Author DataRank

Indexed papers

2in 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 2 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.

MICCAI Brain Tumor Segmentation (BraTS) 2020 Benchmark: "Prediction of Survival and Pseudoprogression"

Zenodo (CERN European Organization for Nuclear Research)(2020)10.5281/zenodo.3718904
Top 44%
0.420DataRank
Top 44%4 citations

Bjoern Menze, Christos Davatzikos, Jayashree Kalpathy–Cramer, Keyvan Farahani, Michel Bilello +18 more

Papers

Driven by 8 papers — median percentile 51. Top paper: “MICCAI Brain Tumor Segmentation (BraTS) 2020 Benchmark: "Prediction of Survival and Pseudoprogression"”.

MICCAI Brain Tumor Segmentation (BraTS) 2020 Benchmark: "Prediction of Survival and Pseudoprogression"

Zenodo (CERN European Organization for Nuclear Research)(2020)10.5281/zenodo.3718904
Top 44%
0.420DataRank
Top 44%4 citations

Bjoern Menze, Christos Davatzikos, Jayashree Kalpathy–Cramer, Keyvan Farahani, Michel Bilello +18 more

Analysis of the 2024 BraTS Meningioma Radiotherapy Planning Automated Segmentation Challenge

arXiv (Cornell University)(2024)10.48550/arxiv.2405.18383
Top 54%
0.310DataRank
Top 54%5 citations

Abramova, Valeriia, Astaraki, Mehdi, Ferreira, Andre, Jiang, Zhifan, Cleveland, Mason C. +95 more

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation – Analysis of Ranking Scores and Benchmarking Results

The Journal of Machine Learning for Biomedical Imaging(2022)10.59275/j.melba.2022-354b
N/A
0DataRank · unranked
53 citations

Angelos Filos, Ujjwal Baid, Chiharu Sako, Richard McKinley, Michael Rebsamen +87 more

The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn)

arXiv (Cornell University)(2023)10.48550/arxiv.2305.09011
N/A
0DataRank · unranked
12 citations

Gian Marco Conte, Hu, Qingqiao, Syed Muhammad Anwar, Florian Kofler, Ivan Ezhov +60 more

Multi-Center Fetal Brain Tissue Annotation (FeTA) Challenge 2022 Results

IEEE Transactions on Medical Imaging(2024)10.1109/tmi.2024.3485554
N/A
0DataRank · unranked
19 citations

Céline Steger, Roxane Licandro, Priscille De Dumast, Hongwei Li, Matthew J. Barkovich +62 more

QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge

arXiv (Cornell University)(2024)10.48550/arxiv.2405.18435
N/A
0DataRank · unranked
5 citations

Fernando Navarro, Ivan Ezhov, Amirhossein Bayat, Dhritiman Das, Florian Kofler +75 more

Multi-Center Fetal Brain Tissue Annotation (FeTA) Challenge 2022 Results

White Rose Research Online (University of Leeds, The University of Sheffield, University of York)(2024)10.48550/arxiv.2402.09463
N/A
0DataRank · unranked
0 citations

Céline Steger, Roxane Licandro, Priscille de Dumast, Hongwei Li, Matthew J. Barkovich +62 more

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results

arXiv (Cornell University)(2021)10.48550/arxiv.2112.10074
N/A
0DataRank · unranked
7 citations

Angelos Filos, Ujjwal Baid, Chiharu Sako, Richard McKinley, Michael Rebsamen +87 more