Michał Kępski
- Computer Vision and Pattern Recognition top 2%
- Biomedical Engineering top 10%
- Artificial Intelligence top 10%
- Physical Therapy, Sports Therapy and Rehabilitation top 5%
- Electrical and Electronic Engineering
- Co-authors
- Bogdan KwolekBarbara PȩkalaBogdan JakiełaIzabela ZawlikAleksander MyszkaTeresa MroczekKrzysztof OkońLech Zaręba
- Topics
- Context-Aware Activity Recognition Systems (8 papers)Gait Recognition and Analysis (7 papers)Human Pose and Action Recognition (5 papers)
- Cited by
- Computer Vision and Pattern RecognitionPhysical Therapy, Sports Therapy and RehabilitationBiomedical Engineering
- Partner nations
- Poland
In The Last Decade
Michał Kępski
12 papers receiving 698 citations
Hit Papers
Peers
Comparison fields: 5 of 68
- Computer Vision and Pattern Recognition 615
- Biomedical Engineering 430
- Artificial Intelligence 185
- Physical Therapy, Sports Therapy and Rehabilitation 65
- Electrical and Electronic Engineering 63
Countries citing papers authored by Michał Kępski
This map shows the geographic impact of Michał Kępski'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 Michał Kępski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michał Kępski more than expected).
Fields of papers citing papers by Michał Kępski
This network shows the impact of papers produced by Michał Kępski. 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 Michał Kępski. The network helps show where Michał Kępski may publish in the future.
Co-authorship network of co-authors of Michał Kępski
This figure shows the co-authorship network connecting the top 25 collaborators of Michał Kępski. A scholar is included among the top collaborators of Michał Kępski 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 Michał Kępski. Michał Kępski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 9 | |
| 4 | 22 | |
| 5 | 1 | |
| 6 | 19 | |
| 7 | Fall detection using ceiling-mounted 3D depth camera | 2 |
| 8 | 56 | |
| 9 | 114 | |
| 10 | 19 | |
| 11 | 12 | |
| 12 | 52 | |
| 13 | Human fall detection on embedded platform using depth maps and wireless accelerometerbreakdown → | 414 |
About Michał Kępski
Michał Kępski is a scholar working on Computer Vision and Pattern Recognition, Sensory Systems and Human-Computer Interaction, having authored 13 papers that have together received 722 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (8 papers), Gait Recognition and Analysis (7 papers) and Human Pose and Action Recognition (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (615 citations), Physical Therapy, Sports Therapy and Rehabilitation (65 citations) and Biomedical Engineering (430 citations). Michał Kępski has collaborated with scholars based in Poland. Frequent co-authors include Bogdan Kwolek, Barbara Pȩkala, Bogdan Jakieła, Izabela Zawlik, Aleksander Myszka, Teresa Mroczek, Krzysztof Okoń, Lech Zaręba, Jan G. Bazan and Jerzy Soja. Their work appears in journals such as International Journal of Molecular Sciences, Sensors and Fuzzy Sets and Systems.
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.