Bogdan Kwolek

145 total papers · 2.2k total citations
60 papers, 1.0k citations indexed

About

Bogdan Kwolek is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Bogdan Kwolek has authored 60 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Computer Vision and Pattern Recognition, 21 papers in Biomedical Engineering and 15 papers in Artificial Intelligence. Recurrent topics in Bogdan Kwolek's work include Human Pose and Action Recognition (26 papers), Video Surveillance and Tracking Methods (22 papers) and Gait Recognition and Analysis (21 papers). Bogdan Kwolek is often cited by papers focused on Human Pose and Action Recognition (26 papers), Video Surveillance and Tracking Methods (22 papers) and Gait Recognition and Analysis (21 papers). Bogdan Kwolek collaborates with scholars based in Poland, Germany and Japan. Bogdan Kwolek's co-authors include Michał Kępski, Tomasz Krzeszowski, Adam Świtoński, Henryk Josiński, Shinji Sako, Konrad Wojciechowski, Joachim W. Schmidt, J. Fritsch, Gerhard Rigoll and Marian Wysocki and has published in prestigious journals such as Scientific Reports, Neurocomputing and Applied Soft Computing.

In The Last Decade

Bogdan Kwolek

57 papers receiving 975 citations

Hit Papers

Human fall detection on e... 2014 2026 2018 2022 2014 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Bogdan Kwolek 837 528 268 97 84 60 1.0k
Jang‐Hee Yoo 827 1.0× 358 0.7× 234 0.9× 149 1.5× 70 0.8× 59 1.1k
Muhammad Ehatisham-ul-Haq 756 0.9× 270 0.5× 358 1.3× 98 1.0× 108 1.3× 46 1.2k
Xiao Gu 485 0.6× 241 0.5× 166 0.6× 102 1.1× 35 0.4× 61 982
Faïcel Chamroukhi 531 0.6× 308 0.6× 321 1.2× 52 0.5× 117 1.4× 27 1.0k
Pierre Rumeau 713 0.9× 517 1.0× 170 0.6× 32 0.3× 103 1.2× 35 1.1k
Grazia Cicirelli 506 0.6× 171 0.3× 120 0.4× 120 1.2× 137 1.6× 66 975
Massimo Camplani 700 0.8× 189 0.4× 91 0.3× 66 0.7× 87 1.0× 45 1.0k
Qing Lei 506 0.6× 153 0.3× 240 0.9× 111 1.1× 90 1.1× 72 891
Sakshi Arora 248 0.3× 270 0.5× 141 0.5× 62 0.6× 66 0.8× 44 870
Jian Yang 486 0.6× 208 0.4× 364 1.4× 42 0.4× 77 0.9× 27 864

Countries citing papers authored by Bogdan Kwolek

Since Specialization
Citations

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

Fields of papers citing papers by Bogdan Kwolek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bogdan Kwolek

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