Jonathan Ho
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- Generative Adversarial Networks and Image Synthesis 5
- Robotic Path Planning Algorithms 2
- Media Technology top 1%
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- Robotic Mechanisms and Dynamics 2
- Aerospace Engineering top 5%
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- Computational Fluid Dynamics and Aerodynamics 3
- Lattice Boltzmann Simulation Studies 2
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- Model Reduction and Neural Networks 2
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- Reinforcement Learning in Robotics 2
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- Robotic Locomotion and Control 2
- Co-authors
- Tim SalimansMohammad NorouziChitwan SahariaWilliam ChanDavid J. FleetPieter AbbeelJohn SchulmanAlex Pui‐Wai Lee
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignMedia Technology
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)The International Journal of Robotics Research (1 paper)International Journal for Numerical Methods in Engineering (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Jonathan Ho
16 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Computer Vision and Pattern Recognition 1.5k
- Computer Graphics and Computer-Aided Design 108
- Media Technology 253
- Control and Systems Engineering 586
- Aerospace Engineering 346
Countries citing papers authored by Jonathan Ho
This map shows the geographic impact of Jonathan Ho'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 Jonathan Ho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Ho more than expected).
Fields of papers citing papers by Jonathan Ho
This network shows the impact of papers produced by Jonathan Ho. 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 Jonathan Ho. The network helps show where Jonathan Ho may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jonathan Ho, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 1 | |
| 4 | On Distillation of Guided Diffusion Modelsbreakdown → | 2023 | 117 |
| 5 | Image Super-Resolution Via Iterative Refinementbreakdown → | 2022 | 1022 |
| 6 | 2022 | 2 | |
| 7 | On Density Estimation with Diffusion Models | 2021 | 1 |
| 8 | Importance weighted compression | 2021 | 1 |
| 9 | 2021 | 1 | |
| 10 | 2021 | 4 | |
| 11 | 2020 | 13 | |
| 12 | Compression with Flows via Local Bits-Back Coding | 2019 | 1 |
| 13 | Bit-Swap: Recursive Bits-Back Coding for Lossless Compression with Hierarchical Latent Variables | 2019 | 7 |
| 14 | Evolved Policy Gradients | 2018 | 16 |
| 15 | Motion planning with sequential convex optimization and convex collision checkingbreakdown → | 2014 | 539 |
| 16 | 2013 | 275 | |
| 17 | 2013 | 119 |
About Jonathan Ho
Jonathan Ho is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 17 papers that have together received 2.1k indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (5 papers), Computational Fluid Dynamics and Aerodynamics (3 papers), Lattice Boltzmann Simulation Studies (2 papers), Robotic Mechanisms and Dynamics (2 papers), Model Reduction and Neural Networks (2 papers), Reinforcement Learning in Robotics (2 papers), Robotic Path Planning Algorithms (2 papers) and Robotic Locomotion and Control (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.5k citations), Computer Graphics and Computer-Aided Design (108 citations) and Media Technology (253 citations). Jonathan Ho has collaborated with scholars based in United States and Germany. Frequent co-authors include Tim Salimans, Mohammad Norouzi, Chitwan Saharia, William Chan, David J. Fleet, Pieter Abbeel, John Schulman, Alex Pui‐Wai Lee, Ken Goldberg and Jia Pan. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, The International Journal of Robotics Research, International Journal for Numerical Methods in Engineering, Journal of Computational Physics and 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
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.