Jakub Segen

12 papers and 103 indexed citations i.

About

Jakub Segen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Human-Computer Interaction. According to data from OpenAlex, Jakub Segen has authored 12 papers receiving a total of 103 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 2 papers in Human-Computer Interaction. Recurrent topics in Jakub Segen’s work include Neural Networks and Applications (2 papers), Traditional Chinese Medicine Studies (2 papers) and Human Pose and Action Recognition (2 papers). Jakub Segen is often cited by papers focused on Neural Networks and Applications (2 papers), Traditional Chinese Medicine Studies (2 papers) and Human Pose and Action Recognition (2 papers). Jakub Segen collaborates with scholars based in United States, Poland and Norway. Jakub Segen's co-authors include E. T. Richey, Arthur C. Sanderson, Glenn L. Cash, Marek Kulbacki, Paweł Mielnik, Ryszard Klempous, Andrew R. Neureuther, Zenon Chaczko, Jerzy W. Rozenblit and Konrad Wojciechowski and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Communications of the ACM and Sensors.

In The Last Decade

Co-authorship network of co-authors of Jakub Segen i

Fields of papers citing papers by Jakub Segen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jakub Segen

Since Specialization
Citations

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

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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