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

Kerstin Hammernik

ORCID: 0000-0002-2734-1409
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 3%percentile
1.6Author 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.

CG‐SENSE revisited: Results from the first ISMRM reproducibility challenge

Magnetic Resonance in Medicine(2020)10.1002/mrm.28569
Top 13%
1.6DataRank
Top 13%34 citations

Steven H. Baete, Alexander Fyrdahl, Kerstin Hammernik, Seb Harrevelt, Lars Kasper +9 more

Papers

Driven by 6 papers — median percentile 87. Top paper: “CG‐SENSE revisited: Results from the first ISMRM reproducibility challenge”.

CG‐SENSE revisited: Results from the first ISMRM reproducibility challenge

Magnetic Resonance in Medicine(2020)10.1002/mrm.28569
Top 13%
1.6DataRank
Top 13%34 citations

Steven H. Baete, Alexander Fyrdahl, Kerstin Hammernik, Seb Harrevelt, Lars Kasper +9 more

Rapid mono and biexponential 3D-T1ρ mapping of knee cartilage using variational networks

Scientific Reports(2020)10.1038/s41598-020-76126-x
N/A
0DataRank · unranked
20 citations

Patricia M. Johnson, Azadeh Sharafi, Kerstin Hammernik, Florian Knöll, Ravinder R. Regatte +1 more

Deep Network Interpolation for Accelerated Parallel MR Image Reconstruction

arXiv (Cornell University)(2020)10.48550/arxiv.2007.05993
N/A
0DataRank · unranked
2 citations

Jo Schlemper, Kerstin Hammernik, Jinming Duan, Ronald M. Summers, Daniel Rueckert +1 more

Systematic evaluation of iterative deep neural networks for fast parallel MRI reconstruction with sensitivity‐weighted coil combination

Magnetic Resonance in Medicine(2021)10.1002/mrm.28827
N/A
0DataRank · unranked
90 citations

Jo Schlemper, Chen Qin, Jinming Duan, Ronald M. Summers, Daniel Rueckert +1 more

Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging: Combining physics and machine learning for improved medical imaging

IEEE Signal Processing Magazine(2023)10.1109/msp.2022.3215288
N/A
0DataRank · unranked
111 citations

Thomas Küstner, Burhaneddin Yaman, Zhengnan Huang, Daniel Rueckert, Florian Knöll +2 more

Propagation and Attribution of Uncertainty in Medical Imaging Pipelines

Lecture notes in computer science(2023)10.1007/978-3-031-44336-7_1
N/A
0DataRank · unranked
3 citations

Martin J. Menten, Kerstin Hammernik, Paul Hager, Wenqi Huang, Daniel Rueckert +3 more