Petr Kellnhofer
- Biomedical Engineering top 5%
- Human-Computer Interaction top 0.2%
- Cognitive Neuroscience top 2%
- Media Technology top 0.5%
- Computer Vision and Pattern Recognition top 2%
- Co-authors
- Wojciech MatusikAntonio TorralbaJun-Yan ZhuSubramanian SundaramYunzhu LiBeichen LiLiang ShiChang-Il Kim
- Topics
- Advanced Vision and Imaging (12 papers)Advanced Optical Imaging Technologies (11 papers)Visual perception and processing mechanisms (10 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Petr Kellnhofer
22 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Biomedical Engineering 802
- Human-Computer Interaction 801
- Cognitive Neuroscience 681
- Media Technology 491
- Computer Vision and Pattern Recognition 482
Countries citing papers authored by Petr Kellnhofer
This map shows the geographic impact of Petr Kellnhofer'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 Petr Kellnhofer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Petr Kellnhofer more than expected).
Fields of papers citing papers by Petr Kellnhofer
This network shows the impact of papers produced by Petr Kellnhofer. 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 Petr Kellnhofer. The network helps show where Petr Kellnhofer may publish in the future.
Co-authorship network of co-authors of Petr Kellnhofer
This figure shows the co-authorship network connecting the top 25 collaborators of Petr Kellnhofer. A scholar is included among the top collaborators of Petr Kellnhofer 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 Petr Kellnhofer. Petr Kellnhofer 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 | 1 | |
| 3 | 18 | |
| 4 | Towards real-time photorealistic 3D holography with deep neural networksbreakdown → | 391 |
| 5 | 6 | |
| 6 | 3 | |
| 7 | 31 | |
| 8 | Learning the signatures of the human grasp using a scalable tactile glovebreakdown → | 880 |
| 9 | 9 | |
| 10 | 1 | |
| 11 | Eye Tracking for Everyonebreakdown → | 535 |
| 12 | 21 | |
| 13 | 20 | |
| 14 | 1 | |
| 15 | TIME-CONVENIENT DEFORMATION OF MUSCULOSKELETAL SYSTEM | 0 |
| 16 | 2 | |
| 17 | 1 | |
| 18 | 2 | |
| 19 | 2 | |
| 20 | 7 |
About Petr Kellnhofer
Petr Kellnhofer is a scholar working on Media Technology, Computer Graphics and Computer-Aided Design and Computer Vision and Pattern Recognition, having authored 25 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (12 papers), Advanced Optical Imaging Technologies (11 papers) and Visual perception and processing mechanisms (10 papers). The work is most often cited by research in Human-Computer Interaction (801 citations), Media Technology (491 citations) and Cognitive Neuroscience (681 citations). Petr Kellnhofer has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Wojciech Matusik, Antonio Torralba, Jun-Yan Zhu, Subramanian Sundaram, Yunzhu Li, Beichen Li, Liang Shi, Chang-Il Kim, Suchendra M. Bhandarkar and Harini Kannan. Their work appears in journals such as Nature, ACM Transactions on Graphics and IEEE Transactions on Visualization and Computer Graphics.
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.