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

Markus D. Herrmann

Roche (Switzerland)

ORCID: 0000-0002-7257-9205

Also affiliated with Harvard University, Massachusetts General Hospital

Computer ScienceMedicineBiochemistry, Genetics and Molecular Biology

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
1.1Author 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.

Quantitative Imaging Informatics for Cancer Research

JCO Clinical Cancer Informatics(2020)10.1200/cci.19.00165
Top 29%
0.680DataRank
Top 29%15 citations

Reinhard Beichel, Jayashree Kalpathy–Cramer, David Clunie, Michael D. Onken, Jörg Riesmeier +16 more

Papers

Driven by 5 papers — median percentile 63. Top paper: “Quantitative Imaging Informatics for Cancer Research”.

Quantitative Imaging Informatics for Cancer Research

JCO Clinical Cancer Informatics(2020)10.1200/cci.19.00165
Top 29%
0.680DataRank
Top 29%15 citations

Reinhard Beichel, Jayashree Kalpathy–Cramer, David Clunie, Michael D. Onken, Jörg Riesmeier +16 more

The NCI Imaging Data Commons as a platform for reproducible research in computational pathology

Computer Methods and Programs in Biomedicine(2023)10.1016/j.cmpb.2023.107839
Top 45%
0.412DataRank
Top 45%8 citations

Markus D. Herrmann, David Clunie, Henning Höfener, William Kingdon Clifford, William J.R. Longabaugh +5 more

A Regulatory Science Initiative to Harmonize and Standardize Digital Pathology and Machine Learning Processes to Speed up Clinical Innovation to Patients

Journal of Pathology Informatics(2020)10.4103/jpi.jpi_27_20
N/A
0DataRank · unranked
36 citations

Richard Huang, Sarah Dudgeon, Amanda Lowe, Markus D. Herrmann, Scott Blakely +12 more

Highdicom: a Python Library for Standardized Encoding of Image Annotations and Machine Learning Model Outputs in Pathology and Radiology

Journal of Digital Imaging(2022)10.1007/s10278-022-00683-y
N/A
0DataRank · unranked
24 citations

Chris Gorman, Steven C. Pieper, Sean Doyle, Jochen K. Lennerz, Jayashree Kalpathy–Cramer +4 more

Interoperable slide microscopy viewer and annotation tool for imaging data science and computational pathology

Nature Communications(2023)10.1038/s41467-023-37224-2
N/A
0DataRank · unranked
34 citations

Davide Punzo, Igor Octaviano, Steven Pieper, William J.R. Longabaugh, David Clunie +4 more