Jakub Segen

1.2k total citations
33 papers, 606 citations indexed

About

Jakub Segen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction. According to data from OpenAlex, Jakub Segen has authored 33 papers receiving a total of 606 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 9 papers in Human-Computer Interaction. Recurrent topics in Jakub Segen's work include Hand Gesture Recognition Systems (7 papers), Video Analysis and Summarization (4 papers) and Human Pose and Action Recognition (4 papers). Jakub Segen is often cited by papers focused on Hand Gesture Recognition Systems (7 papers), Video Analysis and Summarization (4 papers) and Human Pose and Action Recognition (4 papers). Jakub Segen collaborates with scholars based in United States, Poland and Norway. Jakub Segen's 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 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

Jakub Segen

32 papers receiving 547 citations

Peers

Jakub Segen
A. Thayananthan United Kingdom
Akansel Cosgun Australia
Jill D. Crisman United States
A. Thayananthan United Kingdom
Jakub Segen
Citations per year, relative to Jakub Segen Jakub Segen (= 1×) peers A. Thayananthan

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).

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.

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

20 of 20 papers shown
1.
Kulbacki, Marek, Jakub Segen, Zenon Chaczko, et al.. (2023). Intelligent Video Analytics for Human Action Recognition: The State of Knowledge. Sensors. 23(9). 4258–4258. 8 indexed citations
2.
Segen, Jakub & Arthur C. Sanderson. (2018). Model inference and pattern discovery by minimal representation method. KiltHub Repository.
3.
Segen, Jakub, et al.. (2018). Detection of linear features including bone and skin areas in ultrasound images of joints. PeerJ. 6. e4411–e4411. 3 indexed citations
4.
Kulbacki, Marek, et al.. (2017). Analysis, Recognition, and Classification of Biological Membrane Images. Advances in anatomy, embryology and cell biology. 227. 119–140. 1 indexed citations
5.
Mielnik, Paweł, et al.. (2017). A Novel Method of Synovitis Stratification in Ultrasound Using Machine Learning Algorithms: Results From Clinical Validation of the MEDUSA Project. Ultrasound in Medicine & Biology. 44(2). 489–494. 14 indexed citations
6.
Kulbacki, Marek, et al.. (2004). Learning from Examples and Comparing Models of Human Motion. Journal of Advanced Computational Intelligence and Intelligent Informatics. 8(5). 477–481. 5 indexed citations
7.
Kumar, S. V. Aruna & Jakub Segen. (2003). Gesture based 3D man-machine interaction using a single camera. 1. 630–635. 9 indexed citations
8.
Segen, Jakub & S. V. Aruna Kumar. (2003). Shadow gestures: 3D hand pose estimation using a single camera. 479–485. 86 indexed citations
9.
Segen, Jakub. (2003). Model learning and recognition of nonrigid objects. 17. 597–602. 4 indexed citations
10.
Segen, Jakub & S. V. Aruna Kumar. (2002). Fast and accurate 3D gesture recognition interface. 1. 86–91. 20 indexed citations
11.
Segen, Jakub, J. Gluckman, & S. V. Aruna Kumar. (2002). Visual interface for conducting virtual orchestra. 1. 276–279. 10 indexed citations
12.
Segen, Jakub, et al.. (2002). Performance evaluation of people tracking systems. 33–38. 24 indexed citations
13.
Segen, Jakub & S. V. Aruna Kumar. (2002). Human-computer interaction using gesture recognition and 3D hand tracking. 3. 188–192. 36 indexed citations
14.
Segen, Jakub, et al.. (2000). Look ma, no mouse!. Communications of the ACM. 43(7). 102–109. 23 indexed citations
15.
Segen, Jakub, et al.. (1999). Dextrous Interaction with Computer Animations using Vision-Based Gesture Interface. International Conference on Human-Computer Interaction. 281–285. 1 indexed citations
16.
Segen, Jakub, et al.. (1998). Gesture VR. 455–464. 67 indexed citations
17.
Segen, Jakub, et al.. (1994). <title>Large-area optical proximity correction using pattern-based corrections</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2322. 374–386. 5 indexed citations
18.
Segen, Jakub. (1985). Learning concept descriptions from examples with errors. International Joint Conference on Artificial Intelligence. 634–636. 3 indexed citations
19.
Segen, Jakub. (1983). <title>Unsupervised Feature Selection For Object Recognition</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 360. 132–135. 3 indexed citations
20.
Sanderson, Arthur C., Jakub Segen, & E. T. Richey. (1980). Hierarchical modeling of EEG signals. IEEE Transactions on Pattern Analysis and Machine Intelligence. PAMI-2(5). 405–415. 50 indexed citations

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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