Jan Humplik

408 total citations
4 papers, 56 citations indexed

About

Jan Humplik is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Control and Systems Engineering. According to data from OpenAlex, Jan Humplik has authored 4 papers receiving a total of 56 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 1 paper in Molecular Biology and 1 paper in Control and Systems Engineering. Recurrent topics in Jan Humplik's work include Mathematical and Theoretical Epidemiology and Ecology Models (1 paper), Receptor Mechanisms and Signaling (1 paper) and Neural dynamics and brain function (1 paper). Jan Humplik is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (1 paper), Receptor Mechanisms and Signaling (1 paper) and Neural dynamics and brain function (1 paper). Jan Humplik collaborates with scholars based in Austria, United States and United Kingdom. Jan Humplik's co-authors include Gašper Tkačik, Martin A. Nowak, Alison L. Hill, Benjamin M. Moran, Fereshteh Sadeghi, Steven Bohez, Francesco Nori, Nicolas Heess, Tuomas Haarnoja and Leonard Hasenclever and has published in prestigious journals such as Journal of Theoretical Biology and PLoS Computational Biology.

In The Last Decade

Jan Humplik

4 papers receiving 56 citations

Peers

Jan Humplik
Damian Mrowca United States
Nicholas Watters United States
D. Mladenov Switzerland
Said Munzir Indonesia
Martin Engelcke United Kingdom
Juan Marín United States
Teun Koetsier Netherlands
Damian Mrowca United States
Jan Humplik
Citations per year, relative to Jan Humplik Jan Humplik (= 1×) peers Damian Mrowca

Countries citing papers authored by Jan Humplik

Since Specialization
Citations

This map shows the geographic impact of Jan Humplik'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 Humplik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Humplik more than expected).

Fields of papers citing papers by Jan Humplik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan Humplik. 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 Humplik. The network helps show where Jan Humplik may publish in the future.

Co-authorship network of co-authors of Jan Humplik

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Humplik. A scholar is included among the top collaborators of Jan Humplik 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 Humplik. Jan Humplik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

4 of 4 papers shown
1.
Byravan, Arunkumar, Jan Humplik, Leonard Hasenclever, et al.. (2023). NeRF2Real: Sim2real Transfer of Vision-guided Bipedal Motion Skills using Neural Radiance Fields. 9362–9369. 28 indexed citations
2.
Bloesch, Michael, Jan Humplik, Viorica Pătrăucean, et al.. (2021). Towards Real Robot Learning in the Wild: A Case Study in Bipedal Locomotion. 2 indexed citations
3.
Humplik, Jan & Gašper Tkačik. (2017). Probabilistic models for neural populations that naturally capture global coupling and criticality. PLoS Computational Biology. 13(9). e1005763–e1005763. 15 indexed citations
4.
Humplik, Jan, Alison L. Hill, & Martin A. Nowak. (2014). Evolutionary dynamics of infectious diseases in finite populations. Journal of Theoretical Biology. 360. 149–162. 11 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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