πŸ† Finalist β€” NIH Data Sharing Index (β€œS-Index”) Challenge

Reinhard Heckel

Technical University of Munich

ORCID: 0000-0002-2874-2984
EngineeringBiochemistry, Genetics and Molecular BiologyComputer ScienceMedicine

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 β€” papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile
0Author DataRank

Indexed papers

0in pilot corpus
datarank_citation_only_1hop_v6Β· scope data_onlyMethodology

Papers

Driven by 2 papers. Top paper: β€œDeep learning for accelerated and robust MRI reconstruction”.

Deep learning for accelerated and robust MRI reconstruction

Magnetic Resonance Materials in Physics Biology and Medicine(2024)10.1007/s10334-024-01173-8
N/A
0DataRank Β· unranked
104 citations

Mathews Jacob, Akshay Chaudhari, Or Perlman, Efrat Shimron, Reinhard Heckel

6 citations

Mathews Jacob, Akshay Chaudhari, Or Perlman, Efrat Shimron, Reinhard Heckel