Jonas Weidner

Also affiliated with Technical University of Munich

MathematicsMedicineComputer SciencePhysics and Astronomy

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 100%percentile

0Author 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 →

Papers

Driven by 3 papers. Top paper: “A Learnable Prior Improves Inverse Tumor Growth Modeling”.

A Learnable Prior Improves Inverse Tumor Growth Modeling

IEEE Transactions on Medical Imaging(2024)10.1109/tmi.2024.3494022

N/A

0.312DataRank · unranked

7 citations

Ivan Ezhov, Michał Balcerak, Marie‐Christin Metz, Sergey Litvinov, Sebastian Kaltenbach +9 more

Efficient Deep Learning-based Forward Solvers for Brain Tumor Growth Models

Informatik aktuell(2025)10.1007/978-3-658-47422-5_14

N/A

0.104DataRank · unranked

1 citations

Jonas Weidner, Ivan Ezhov, Aswathi Varma, Daniel Rueckert, Bjoern Menze +2 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