Jason Yosinski

67 total papers · 14.2k total citations
24 papers, 4.7k citations indexed

About

Jason Yosinski is a scholar working on Artificial Intelligence, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jason Yosinski has authored 24 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 6 papers in Biomedical Engineering and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jason Yosinski's work include Neural Networks and Applications (5 papers), Model Reduction and Neural Networks (3 papers) and Modular Robots and Swarm Intelligence (3 papers). Jason Yosinski is often cited by papers focused on Neural Networks and Applications (5 papers), Model Reduction and Neural Networks (3 papers) and Modular Robots and Swarm Intelligence (3 papers). Jason Yosinski collaborates with scholars based in United States, Canada and Israel. Jason Yosinski's co-authors include Jeff Clune, Yoshua Bengio, Hod Lipson, Anh‐Tu Nguyen, Alexey Dosovitskiy, Chad DeChant, Siyuan Chen, Ethan L. Stewart, Rebecca Nelson and Michael A. Gore and has published in prestigious journals such as Phytopathology, Evolutionary Computation and Artificial Life.

In The Last Decade

Jason Yosinski

19 papers receiving 4.4k citations

Hit Papers

How transferable are feat... 2014 2026 2018 2022 2014 2015 2017 500 1000 1.5k 2.0k

Author Peers

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

Author Last Decade Papers Cites
Jason Yosinski 2.2k 1.9k 389 367 306 24 4.7k
Jiuxiang Gu 1.6k 0.7× 1.9k 1.0× 297 0.8× 240 0.7× 372 1.2× 42 5.2k
Bing Shuai 1.6k 0.7× 2.3k 1.2× 315 0.8× 255 0.7× 422 1.4× 31 5.7k
Jason Kuen 1.4k 0.6× 2.0k 1.0× 282 0.7× 244 0.7× 378 1.2× 24 5.2k
Masanori Koyama 2.4k 1.1× 1.9k 1.0× 343 0.9× 140 0.4× 366 1.2× 32 6.1k
Chao-Yuan Wu 2.1k 0.9× 3.0k 1.6× 237 0.6× 185 0.5× 530 1.7× 20 5.6k
Yongchun Zhu 2.5k 1.1× 1.2k 0.6× 309 0.8× 195 0.5× 364 1.2× 25 5.7k
Graham W. Taylor 1.6k 0.7× 2.3k 1.2× 361 0.9× 288 0.8× 345 1.1× 101 5.5k
Lianyang Ma 1.2k 0.5× 1.4k 0.8× 277 0.7× 238 0.6× 359 1.2× 11 4.5k
Zhenhua Wang 1.4k 0.6× 2.6k 1.4× 281 0.7× 250 0.7× 419 1.4× 50 5.9k
Hieu Pham 4.6k 2.0× 2.3k 1.2× 555 1.4× 262 0.7× 160 0.5× 41 7.0k

Countries citing papers authored by Jason Yosinski

Since Specialization
Citations

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

Fields of papers citing papers by Jason Yosinski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason Yosinski

This figure shows the co-authorship network connecting the top 25 collaborators of Jason Yosinski. A scholar is included among the top collaborators of Jason Yosinski 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 Jason Yosinski. Jason Yosinski 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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