Pete Florence
Impact in
- Health Informatics top 2%
-
- Computer Graphics and Visualization Techniques
Papers in
-
- Robotic Path Planning Algorithms 7
- Multimodal Machine Learning Applications 3
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- Robot Manipulation and Learning 9
- Robotic Mechanisms and Dynamics 3
- Co-authors
- Russ Tedrake (9 shared papers)Andy Zeng (4 shared papers)Yen-Chen Lin (2 shared papers)Tsung-Yi Lin (2 shared papers)Phillip Isola (2 shared papers)Jonathan T. Barron (2 shared papers)Lucas Manuelli (5 shared papers)Wenlong Huang (1 shared paper)
- Journals
- IEEE Robotics and Automation Letters (4 papers)Journal of Field Robotics (1 paper)NEJM AI (1 paper)Springer proceedings in advanced robotics (2 papers)arXiv (Cornell University) (2 papers)
- Partner nations
- United StatesUnited KingdomIsrael
In The Last Decade
Pete Florence
23 papers receiving 1.8k citations
Pete Florence's Hit Papers
Peers
Comparison fields: 5 of 114
- Health Informatics 91
- Computer Graphics and Computer-Aided Design 165
- Computer Vision and Pattern Recognition 937
- Control and Systems Engineering 521
- Aerospace Engineering 426
Countries citing papers authored by Pete Florence
This map shows the geographic impact of Pete Florence'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 Pete Florence with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pete Florence more than expected).
Fields of papers citing papers by Pete Florence
This network shows the impact of papers produced by Pete Florence. 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 Pete Florence. The network helps show where Pete Florence may publish in the future.
Co-authors
The 25 scholars most cited alongside Pete Florence, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Code as Policies: Language Model Programs for Embodied Control Hit paper breakdown → | 2023 | 420 |
| 2 | iNeRF: Inverting Neural Radiance Fields for Pose Estimation Hit paper breakdown → | 2021 | 296 |
| 3 | Towards Generalist Biomedical AI Hit paper breakdown → | 2024 | 247 |
| 4 | 2019 | 163 | |
| 5 | 2021 | 101 | |
| 6 | 2018 | 79 | |
| 7 | 2022 | 76 | |
| 8 | 2022 | 71 | |
| 9 | 2017 | 70 | |
| 10 | 2016 | 69 | |
| 11 | Interactive Language: Talking to Robots in Real Time Hit paper breakdown → | 2024 | 66 |
| 12 | Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation | 2018 | 45 |
| 13 | 2020 | 41 | |
| 14 | 2023 | 27 | |
| 15 | 2022 | 22 | |
| 16 | 2024 | 21 | |
| 17 | 2022 | 17 | |
| 18 | 2022 | 11 | |
| 19 | Keypoints into the Future: Self-Supervised Correspondence in Model-Based Reinforcement Learning | 2020 | 7 |
| 20 | 2023 | 6 |
About Pete Florence
Pete Florence is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Aerospace Engineering, Artificial Intelligence and Computational Mechanics, having authored 23 papers that have together received 1.9k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (9 papers), Robotics and Sensor-Based Localization (8 papers), Robotic Path Planning Algorithms (7 papers), Reinforcement Learning in Robotics (4 papers), Domain Adaptation and Few-Shot Learning (3 papers), 3D Shape Modeling and Analysis (3 papers), Multimodal Machine Learning Applications (3 papers) and Robotic Mechanisms and Dynamics (3 papers). The work is most often cited by research in Health Informatics (91 citations), Computer Graphics and Computer-Aided Design (165 citations), Computer Vision and Pattern Recognition (937 citations), Control and Systems Engineering (521 citations) and Aerospace Engineering (426 citations). Pete Florence has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Russ Tedrake, Andy Zeng, Yen-Chen Lin, Tsung-Yi Lin, Phillip Isola, Jonathan T. Barron, Lucas Manuelli, Wenlong Huang, Peng Xu and Fei Xia. Their work appears in journals such as IEEE Robotics and Automation Letters, Journal of Field Robotics, NEJM AI, Springer proceedings in advanced robotics and arXiv (Cornell University).
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.