Aaron Walsman
Impact in
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- Robot Manipulation and Learning
- Human-Computer Interaction top 2%
- Hand Gesture Recognition Systems
Papers in
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- Human Motion and Animation 3
- Robot Manipulation and Learning 3
- Robotic Mechanisms and Dynamics 1
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- Human Pose and Action Recognition 2
- Multimodal Machine Learning Applications 1
- Co-authors
- Siddhartha S Srinivasa (4 shared papers)Berk Çallı (3 shared papers)Arjun Singh (3 shared papers)Aaron M. Dollar (3 shared papers)Pieter Abbeel (3 shared papers)Kurt Konolige (1 shared paper)James Bruce (1 shared paper)Dieter Fox (2 shared papers)
- Journals
- The International Journal of Robotics Research (1 paper)IEEE Robotics & Automation Magazine (1 paper)
- Partner nations
- United States
In The Last Decade
Aaron Walsman
8 papers receiving 1.1k citations
Aaron Walsman's Hit Papers
Peers
Comparison fields: 5 of 54
- Control and Systems Engineering 815
- Human-Computer Interaction 162
- Computer Vision and Pattern Recognition 452
- Biomedical Engineering 457
- Aerospace Engineering 225
Countries citing papers authored by Aaron Walsman
This map shows the geographic impact of Aaron Walsman'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 Aaron Walsman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aaron Walsman more than expected).
Fields of papers citing papers by Aaron Walsman
This network shows the impact of papers produced by Aaron Walsman. 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 Aaron Walsman. The network helps show where Aaron Walsman may publish in the future.
Co-authors
The 19 scholars most cited alongside Aaron Walsman, 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 | The YCB object and Model set: Towards common benchmarks for manipulation research Hit paper breakdown → | 2015 | 508 |
| 2 | Benchmarking in Manipulation Research: Using the Yale-CMU-Berkeley Object and Model Set Hit paper breakdown → | 2015 | 412 |
| 3 | 2017 | 241 | |
| 4 | 2014 | 14 | |
| 5 | 2024 | 6 | |
| 6 | 2019 | 2 | |
| 7 | In the Wild: From ML Models to Pragmatic ML Systems | 2021 | 2 |
| 8 | 2023 | 2 |
About Aaron Walsman
Aaron Walsman is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Computational Mechanics, Industrial and Manufacturing Engineering and Social Psychology, having authored 8 papers that have together received 1.2k indexed citations. Recurring topics across this work include Human Motion and Animation (3 papers), Robot Manipulation and Learning (3 papers), Human Pose and Action Recognition (2 papers), Manufacturing Process and Optimization (2 papers), 3D Shape Modeling and Analysis (2 papers), Domain Adaptation and Few-Shot Learning (1 paper), Multimodal Machine Learning Applications (1 paper) and Robotic Mechanisms and Dynamics (1 paper). The work is most often cited by research in Control and Systems Engineering (815 citations), Human-Computer Interaction (162 citations), Computer Vision and Pattern Recognition (452 citations), Biomedical Engineering (457 citations) and Aerospace Engineering (225 citations). Aaron Walsman has collaborated with scholars based in United States. Frequent co-authors include Siddhartha S Srinivasa, Berk Çallı, Arjun Singh, Aaron M. Dollar, Pieter Abbeel, Kurt Konolige, James Bruce, Dieter Fox, Abhishek Gupta and Roozbeh Mottaghi. Their work appears in journals such as The International Journal of Robotics Research and IEEE Robotics & Automation Magazine.
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.