Pushmeet Kohli
Impact in
- Computer Vision and Pattern Recognition top 0.05%
- Advanced Vision and Imaging
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
- Human-Computer Interaction top 0.1%
- Hand Gesture Recognition Systems
Papers in
-
- Advanced Image and Video Retrieval Techniques 44
- Advanced Vision and Imaging 41
- Medical Image Segmentation Techniques 15
- Advanced Neural Network Applications 14
-
- Machine Learning and Algorithms 19
- Adversarial Robustness in Machine Learning 15
- Machine Learning and Data Classification 14
- Co-authors
- Philip H. S. Torr (16 shared papers)Jamie Shotton (20 shared papers)Ľubor Ladický (7 shared papers)Shahram Izadi (19 shared papers)Andrew Fitzgibbon (11 shared papers)Demis Hassabis (11 shared papers)Carsten Rother (16 shared papers)John Jumper (6 shared papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (9 papers)International Journal of Computer Vision (5 papers)ACM Transactions on Graphics (5 papers)Nature (5 papers)Computer Graphics Forum (4 papers)
- Partner nations
- United KingdomUnited StatesIsrael
In The Last Decade
Pushmeet Kohli
196 papers receiving 15.8k citations
Pushmeet Kohli's Hit Papers
Peers
Comparison fields: 5 of 216
- Computer Vision and Pattern Recognition 8.0k
- Human-Computer Interaction 1.3k
- Computer Graphics and Computer-Aided Design 582
- Geology 869
- Artificial Intelligence 3.4k
Countries citing papers authored by Pushmeet Kohli
This map shows the geographic impact of Pushmeet Kohli'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 Pushmeet Kohli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pushmeet Kohli more than expected).
Fields of papers citing papers by Pushmeet Kohli
This network shows the impact of papers produced by Pushmeet Kohli. 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 Pushmeet Kohli. The network helps show where Pushmeet Kohli may publish in the future.
Co-authors
The 25 scholars most cited alongside Pushmeet Kohli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 199 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Improved protein structure prediction using potentials from deep learning Hit paper breakdown → | 2020 | 2100 |
| 2 | KinectFusion Hit paper breakdown → | 2011 | 1453 |
| 3 | Accurate proteome-wide missense variant effect prediction with AlphaMissense Hit paper breakdown → | 2023 | 799 |
| 4 | Robust Higher Order Potentials for Enforcing Label Consistency Hit paper breakdown → | 2009 | 571 |
| 5 | Effective gene expression prediction from sequence by integrating long-range interactions Hit paper breakdown → | 2021 | 541 |
| 6 | Associative hierarchical CRFs for object class image segmentation Hit paper breakdown → | 2009 | 404 |
| 7 | Efficient Human Pose Estimation from Single Depth Images Hit paper breakdown → | 2012 | 393 |
| 8 | A Corpus and Cloze Evaluation for Deeper Understanding of Commonsense Stories Hit paper breakdown → | 2016 | 348 |
| 9 | Fusion4D Hit paper breakdown → | 2016 | 321 |
| 10 | Accurate, Robust, and Flexible Real-time Hand Tracking Hit paper breakdown → | 2015 | 289 |
| 11 | Deep Convolutional Inverse Graphics Network Hit paper breakdown → | 2015 | 289 |
| 12 | 2009 | 269 | |
| 13 | Pushing the frontiers of density functionals by solving the fractional electron problem Hit paper breakdown → | 2021 | 258 |
| 14 | Advancing mathematics by guiding human intuition with AI Hit paper breakdown → | 2021 | 256 |
| 15 | Discovering faster matrix multiplication algorithms with reinforcement learning Hit paper breakdown → | 2022 | 253 |
| 16 | 2012 | 244 | |
| 17 | 2012 | 239 | |
| 18 | Unveiling the predictive power of static structure in glassy systems Hit paper breakdown → | 2020 | 238 |
| 19 | 2009 | 234 | |
| 20 | 2011 | 226 |
About Pushmeet Kohli
Pushmeet Kohli is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Computational Theory and Mathematics and Computational Mechanics, having authored 199 papers that have together received 16.3k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (44 papers), Advanced Vision and Imaging (41 papers), Machine Learning and Algorithms (19 papers), Robotics and Sensor-Based Localization (19 papers), Medical Image Segmentation Techniques (15 papers), Adversarial Robustness in Machine Learning (15 papers), Advanced Neural Network Applications (14 papers) and Machine Learning and Data Classification (14 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (8.0k citations), Human-Computer Interaction (1.3k citations), Computer Graphics and Computer-Aided Design (582 citations), Geology (869 citations) and Artificial Intelligence (3.4k citations). Pushmeet Kohli has collaborated with scholars based in United Kingdom, United States and Israel. Frequent co-authors include Philip H. S. Torr, Jamie Shotton, Ľubor Ladický, Shahram Izadi, Andrew Fitzgibbon, Demis Hassabis, Carsten Rother, John Jumper, Andrew Senior and Toby Sharp. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision, ACM Transactions on Graphics, Nature and Computer Graphics Forum.
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.