Muhammed Kocabas

940 total citations
13 papers, 269 citations indexed

About

Muhammed Kocabas is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Control and Systems Engineering. According to data from OpenAlex, Muhammed Kocabas has authored 13 papers receiving a total of 269 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 6 papers in Human-Computer Interaction and 5 papers in Control and Systems Engineering. Recurrent topics in Muhammed Kocabas's work include Human Pose and Action Recognition (9 papers), Hand Gesture Recognition Systems (6 papers) and Robot Manipulation and Learning (4 papers). Muhammed Kocabas is often cited by papers focused on Human Pose and Action Recognition (9 papers), Hand Gesture Recognition Systems (6 papers) and Robot Manipulation and Learning (4 papers). Muhammed Kocabas collaborates with scholars based in Germany, Switzerland and United States. Muhammed Kocabas's co-authors include Otmar Hilliges, Michael J. Black, Dimitrios Tzionas, Emre Aksan, Siyu Tang, Manuel Kaufmann, Omid Taheri, Jemin Hwangbo, Anurag Ranjan and James Gabriel and has published in prestigious 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).

In The Last Decade

Muhammed Kocabas

13 papers receiving 259 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Muhammed Kocabas Germany 9 215 129 77 58 25 13 269
Jiashun Wang United States 6 161 0.7× 169 1.3× 57 0.7× 62 1.1× 37 1.5× 12 244
Soshi Shimada Germany 7 261 1.2× 130 1.0× 49 0.6× 63 1.1× 57 2.3× 14 334
Lixin Yang China 6 341 1.6× 159 1.2× 136 1.8× 118 2.0× 66 2.6× 14 427
Jianyuan Min United States 8 365 1.7× 373 2.9× 94 1.2× 50 0.9× 26 1.0× 8 466
Edoardo Remelli Switzerland 4 188 0.9× 68 0.5× 96 1.2× 51 0.9× 21 0.8× 7 223
Wenbo Zhang China 7 223 1.0× 78 0.6× 98 1.3× 35 0.6× 18 0.7× 18 292
Lorna Herda Switzerland 6 198 0.9× 131 1.0× 45 0.6× 34 0.6× 50 2.0× 9 271
Matthias Schröder Germany 9 201 0.9× 156 1.2× 181 2.4× 17 0.3× 22 0.9× 12 283
C. Karen Liu United States 9 380 1.8× 403 3.1× 68 0.9× 46 0.8× 63 2.5× 11 466
Marco Volino United Kingdom 5 212 1.0× 60 0.5× 36 0.5× 75 1.3× 26 1.0× 22 261

Countries citing papers authored by Muhammed Kocabas

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Muhammed Kocabas

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammed Kocabas. A scholar is included among the top collaborators of Muhammed Kocabas 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 Muhammed Kocabas. Muhammed Kocabas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Wang, Yufu, Yu Sun, Priyanka Patel, et al.. (2025). PromptHMR: Promptable Human Mesh Recovery. 1148–1159. 1 indexed citations
2.
Chen, Xu, et al.. (2024). HOLD: Category-Agnostic 3D Reconstruction of Interacting Hands and Objects from Video. 494–504. 10 indexed citations
3.
Kocabas, Muhammed, et al.. (2024). HUGS: Human Gaussian Splats. 505–515. 30 indexed citations
4.
Kocabas, Muhammed, et al.. (2024). Physically Plausible Full-Body Hand-Object Interaction Synthesis. 464–473. 10 indexed citations
5.
Kocabas, Muhammed, et al.. (2024). HMP: Hand Motion Priors for Pose and Shape Estimation from Video. 6341–6351. 4 indexed citations
6.
Kocabas, Muhammed, Ye Yuan, Pavlo Molchanov, et al.. (2024). PACE: Human and Camera Motion Estimation from in-the-wild Videos. 397–408. 8 indexed citations
7.
Taheri, Omid, Dimitrios Tzionas, Muhammed Kocabas, et al.. (2023). ARCTIC: A Dataset for Dexterous Bimanual Hand-Object Manipulation. Repository for Publications and Research Data (ETH Zurich). 12943–12954. 69 indexed citations
8.
Kocabas, Muhammed, et al.. (2022). TempCLR: Reconstructing Hands via Time-Coherent Contrastive Learning. 627–636. 8 indexed citations
9.
Kocabas, Muhammed, et al.. (2022). D-Grasp: Physically Plausible Dynamic Grasp Synthesis for Hand-Object Interactions. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 20545–20554. 40 indexed citations
10.
Yi, Hongwei, Chun-Hao P. Huang, Dimitrios Tzionas, et al.. (2022). Human-Aware Object Placement for Visual Environment Reconstruction. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 3949–3960. 42 indexed citations
11.
12.
Spurr, Adrian, et al.. (2021). Learning To Disambiguate Strongly Interacting Hands via Probabilistic Per-Pixel Part Segmentation. Repository for Publications and Research Data (ETH Zurich). 1–10. 28 indexed citations
13.
Kocabas, Muhammed, et al.. (2016). Structural crashworthiness analysis of a ladder frame chassis subjected to full frontal and pole side impacts. International Journal of Crashworthiness. 21(5). 477–493. 7 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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