Jan Stühmer

981 total citations
10 papers, 385 citations indexed

About

Jan Stühmer is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Cell Biology. According to data from OpenAlex, Jan Stühmer has authored 10 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Cell Biology. Recurrent topics in Jan Stühmer's work include Machine Learning in Materials Science (2 papers), Developmental Biology and Gene Regulation (2 papers) and Cellular Mechanics and Interactions (2 papers). Jan Stühmer is often cited by papers focused on Machine Learning in Materials Science (2 papers), Developmental Biology and Gene Regulation (2 papers) and Cellular Mechanics and Interactions (2 papers). Jan Stühmer collaborates with scholars based in Germany, United States and United Kingdom. Jan Stühmer's co-authors include Michael Krieg, Carl‐Philipp Heisenberg, Daniel Cremers, Da Li, Shell Xu Hu, Minyoung Kim, Timothy M. Hospedales, Daniel J. Müller, Nicholas A. Licata and Kerri Spilker and has published in prestigious journals such as Development, Current Biology and Chemical Science.

In The Last Decade

Jan Stühmer

9 papers receiving 378 citations

Peers

Jan Stühmer

CB

MB

CVPR

AI

BE

Grégory Paul Switzerland

Paolo Emilio Barbano United States

Tomoki Naito Japan

Dylan Bannon United States

Ev L. Nichols United States

Robert Henschel United States

Noriko Hiroi Japan

M. Strauss Germany

Ismail M. Khater Canada

Sharmishtaa Seshamani United States

Grégory Paul Switzerland

Jan Stühmer

61 ×0.4

CB

179 ×1.7

MB

82 ×1.1

CVPR

38 ×0.6

AI

26 ×0.6

BE

Citations per year, relative to Jan Stühmer Jan Stühmer (= 1×) peers Grégory Paul

Countries citing papers authored by Jan Stühmer

Since Specialization

Citations

This map shows the geographic impact of Jan Stühmer's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jan Stühmer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Stühmer more than expected).

Fields of papers citing papers by Jan Stühmer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan Stühmer. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jan Stühmer. The network helps show where Jan Stühmer may publish in the future.

Co-authorship network of co-authors of Jan Stühmer

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Stühmer. A scholar is included among the top collaborators of Jan Stühmer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jan Stühmer. Jan Stühmer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

1.

Stühmer, Jan, et al.. (2025). Grappa – a machine learned molecular mechanics force field. Chemical Science. 16(6). 2907–2930. 8 indexed citations

2.

Reiser, Patrick, et al.. (2024). Connectivity optimized nested line graph networks for crystal structures. Digital Discovery. 3(3). 594–601. 22 indexed citations

3.

Stühmer, Jan. (2024). Machine Learning and AI in the Sciences. KI - Künstliche Intelligenz. 38(3). 113–114.

4.

Gräter, Frauke, et al.. (2024). Generating Highly Designable Proteins with Geometric Algebra Flow Matching. 77987–78026. 1 indexed citations

5.

Hu, Shell Xu, Da Li, Jan Stühmer, Minyoung Kim, & Timothy M. Hospedales. (2022). Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 9058–9067. 100 indexed citations

6.

Krieg, Michael, Jan Stühmer, Juan G. Cueva, et al.. (2017). Genetic defects in β-spectrin and tau sensitize C. elegans axons to movement-induced damage via torque-tension coupling. eLife. 6. 87 indexed citations

7.

Stühmer, Jan, Sebastian Nowozin, Andrew Fitzgibbon, et al.. (2015). Model-Based Tracking at 300Hz Using Raw Time-of-Flight Observations. 3577–3585. 11 indexed citations

8.

Stühmer, Jan, Peter Schröder, & Daniel Cremers. (2013). Tree Shape Priors with Connectivity Constraints Using Convex Relaxation on General Graphs. 2336–2343. 28 indexed citations

9.

Krieg, Michael, et al.. (2010). Movement Directionality in Collective Migration of Germ Layer Progenitors. Current Biology. 20(2). 161–169. 101 indexed citations

10.

Carvalho, Lara, Jan Stühmer, Justin S. Bois, et al.. (2009). Control of convergent yolk syncytial layer nuclear movement in zebrafish. Development. 136(8). 1305–1315. 27 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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