Pushmeet Kohli
About
In The Last Decade
Pushmeet Kohli
197 papers receiving 15.4k citations
Hit Papers
Peers
Comparison fields: 5 of 218
- Computer Vision and Pattern Recognition 8.0k
- Artificial Intelligence 3.4k
- Molecular Biology 2.4k
- Aerospace Engineering 1.9k
- Human-Computer Interaction 1.2k
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-authorship network of co-authors of Pushmeet Kohli
This figure shows the co-authorship network connecting the top 25 collaborators of Pushmeet Kohli. A scholar is included among the top collaborators of Pushmeet Kohli 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 Pushmeet Kohli. Pushmeet Kohli 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 | 2 | |
| 4 | Mathematical discoveries from program search with large language models breakdown → | 124 |
| 5 | Pushing the frontiers of density functionals by solving the fractional electron problem breakdown → | 243 |
| 6 | Towards Verified Robustness under Text Deletion Interventions | 3 |
| 7 | Reinforced Genetic Algorithm Learning for Optimizing Computation Graphs | 9 |
| 8 | Adversarially Robust Representations with Smooth Encoders | 5 |
| 9 | 6 | |
| 10 | 64 | |
| 11 | Are Labels Required for Improving Adversarial Robustness | 24 |
| 12 | Efficient Neural Network Verification with Exactness Characterization | 8 |
| 13 | 133 | |
| 14 | Batched Large-scale Bayesian Optimization in High-dimensional Spaces | 9 |
| 15 | Political dimensionality estimation using a probabilistic graphical model | 4 |
| 16 | 17 | |
| 17 | Just-In-Time Learning for Fast and Flexible Inference | 4 |
| 18 | 6 | |
| 19 | Decision Jungles: Compact and Rich Models for Classification | 58 |
| 20 | Learning Low-order Models for Enforcing High-order Statistics | 17 |
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.