Jakub Segen
- Computer Vision and Pattern Recognition top 5%
- Human-Computer Interaction top 2%
- Artificial Intelligence top 10%
- Control and Systems Engineering top 10%
- Cognitive Neuroscience
- Co-authors
- S. V. Aruna KumarMarek KulbackiArthur C. SandersonE. T. RicheyRyszard KlempousJulita KulbackaJan NikodemGlenn L. Cash
- Topics
- Hand Gesture Recognition Systems (7 papers)Video Analysis and Summarization (4 papers)Human Pose and Action Recognition (4 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceCommunications of the ACMSensors
- Partner nations
- United StatesPolandNorway
In The Last Decade
Jakub Segen
32 papers receiving 547 citations
Peers
Comparison fields: 5 of 84
- Computer Vision and Pattern Recognition 335
- Human-Computer Interaction 232
- Artificial Intelligence 103
- Control and Systems Engineering 102
- Cognitive Neuroscience 98
Countries citing papers authored by Jakub Segen
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).
Fields of papers citing papers by Jakub Segen
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.
Co-authorship network of co-authors of Jakub Segen
This figure shows the co-authorship network connecting the top 25 collaborators of Jakub Segen. A scholar is included among the top collaborators of Jakub Segen 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 Jakub Segen. Jakub Segen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 14 | |
| 6 | 5 | |
| 7 | 9 | |
| 8 | 86 | |
| 9 | 4 | |
| 10 | 20 | |
| 11 | 10 | |
| 12 | 24 | |
| 13 | 36 | |
| 14 | 23 | |
| 15 | Dextrous Interaction with Computer Animations using Vision-Based Gesture Interface | 1 |
| 16 | 67 | |
| 17 | 5 | |
| 18 | Learning concept descriptions from examples with errors | 3 |
| 19 | 3 | |
| 20 | 50 |
About Jakub Segen
Jakub Segen is a scholar working on Human-Computer Interaction, Health Informatics and Computer Vision and Pattern Recognition, having authored 33 papers that have together received 606 indexed citations. Recurring topics across this work include Hand Gesture Recognition Systems (7 papers), Video Analysis and Summarization (4 papers) and Human Pose and Action Recognition (4 papers). The work is most often cited by research in Human-Computer Interaction (232 citations), Computer Vision and Pattern Recognition (335 citations) and Cognitive Neuroscience (98 citations). Jakub Segen has collaborated with scholars based in United States, Poland and Norway. Frequent co-authors include S. V. Aruna Kumar, Marek Kulbacki, Arthur C. Sanderson, E. T. Richey, Ryszard Klempous, Julita Kulbacka, Jan Nikodem, Glenn L. Cash, Paweł Mielnik and J. Gluckman. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Communications of the ACM and Sensors.
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.