Jan Humplik

23 total papers · 402 total citations
4 papers, 53 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 53 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 Receptor Mechanisms and Signaling (1 paper), Robotic Path Planning Algorithms (1 paper) and Robotic Locomotion and Control (1 paper). Jan Humplik is often cited by papers focused on Receptor Mechanisms and Signaling (1 paper), Robotic Path Planning Algorithms (1 paper) and Robotic Locomotion and Control (1 paper). Jan Humplik collaborates with scholars based in Austria, Czechia and United States. Jan Humplik's co-authors include Gašper Tkačik, Alison L. Hill, Martin A. Nowak, Leonard Hasenclever, Tuomas Haarnoja, Francesco Nori, Benjamin M. Moran, Steven Bohez, Arunkumar Byravan and Fereshteh Sadeghi 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 53 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Jan Humplik	14	11	10	8	8	4	53
Onur Soysal	38 2.7×	2 0.2×	3 0.3×	6 0.8×	22 2.8×	9	228
Ralph Beckers	18 1.3×	3 0.3×	2 0.2×	1 0.1×	23 2.9×	3	73
D. Mladenov	12 0.9×	14 1.3×	6 0.6×		6 0.8×	7	54
Damian Mrowca	22 1.6×	3 0.3×	7 0.7×	1 0.1×	15 1.9×	2	47
Nicholas Watters	48 3.4×	8 0.7×	15 1.5×	3 0.4×	51 6.4×	6	97
Jack Kuipers	17 1.2×	3 0.3×	3 0.3×		10 1.3×	4	82
Boris Hanin	10 0.7×	7 0.6×	16 1.6×	2 0.3×	45 5.6×	6	58
Christos Androutsos	7 0.5×	7 0.6×		10 1.3×	21 2.6×	5	78
Jonathan Masci	47 3.4×	6 0.5×	7 0.7×	4 0.5×	72 9.0×	3	82
Juan Marín	24 1.7×	4 0.4×			17 2.1×	3	67

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

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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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