Muhammed Kocabas
- Human-Computer Interaction top 5%
- Hand Gesture Recognition Systems 6
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- Human Pose and Action Recognition 9
- Advanced Vision and Imaging 3
- Video Surveillance and Tracking Methods 2
- Control and Systems Engineering top 10%
- Robot Manipulation and Learning 4
- Human Motion and Animation 2
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- 3D Shape Modeling and Analysis 3
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- Automotive and Human Injury Biomechanics 1
- Co-authors
- Otmar HilligesMichael J. BlackDimitrios TzionasEmre AksanManuel KaufmannOmid TaheriSiyu TangJemin Hwangbo
- Cited by
- Human-Computer InteractionComputer Vision and Pattern RecognitionControl and Systems Engineering
- Journals
- International Journal of Crashworthiness (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2 papers)Repository for Publications and Research Data (ETH Zurich) (2 papers)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Muhammed Kocabas
13 papers receiving 259 citations
Peers
Comparison fields: 5 of 34
- Human-Computer Interaction 77
- Computer Vision and Pattern Recognition 215
- Control and Systems Engineering 129
- Computer Graphics and Computer-Aided Design 11
- Computational Mechanics 58
Countries citing papers authored by Muhammed Kocabas
This map shows the geographic impact of Muhammed Kocabas'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 Muhammed Kocabas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammed Kocabas more than expected).
Fields of papers citing papers by Muhammed Kocabas
This network shows the impact of papers produced by Muhammed Kocabas. 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 Muhammed Kocabas. The network helps show where Muhammed Kocabas may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Muhammed Kocabas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 10 | |
| 3 | 2024 | 30 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 10 | |
| 6 | 2024 | 8 | |
| 7 | 2023 | 69 | |
| 8 | 2022 | 40 | |
| 9 | 2022 | 42 | |
| 10 | 2022 | 12 | |
| 11 | 2022 | 8 | |
| 12 | 2021 | 28 | |
| 13 | 2016 | 7 |
About Muhammed Kocabas
Muhammed Kocabas is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Control and Systems Engineering, Computational Mechanics and Insect Science, having authored 13 papers that have together received 269 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (9 papers), Hand Gesture Recognition Systems (6 papers), Robot Manipulation and Learning (4 papers), Advanced Vision and Imaging (3 papers), 3D Shape Modeling and Analysis (3 papers), Human Motion and Animation (2 papers), Video Surveillance and Tracking Methods (2 papers) and Automotive and Human Injury Biomechanics (1 paper). The work is most often cited by research in Human-Computer Interaction (77 citations), Computer Vision and Pattern Recognition (215 citations), Control and Systems Engineering (129 citations), Computer Graphics and Computer-Aided Design (11 citations) and Computational Mechanics (58 citations). Muhammed Kocabas has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Otmar Hilliges, Michael J. Black, Dimitrios Tzionas, Emre Aksan, Manuel Kaufmann, Omid Taheri, Siyu Tang, Jemin Hwangbo, James Gabriel and Oncel Tuzel. Their work appears in journals such as International Journal of Crashworthiness, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and Repository for Publications and Research Data (ETH Zurich).
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.