Jeffrey I. Lipton
- Human-Computer Interaction top 5%
- Mechanical Engineering top 10%
- Modular Robots and Swarm Intelligence 12
- Advanced Materials and Mechanics 5
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- Robot Manipulation and Learning 7
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- Soft Robotics and Applications 8
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- Robotic Path Planning Algorithms 3
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- Manufacturing Process and Optimization 2
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- Tactile and Sensory Interactions 2
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- Distributed Control Multi-Agent Systems 2
- Co-authors
- Daniela RusLillian ChinRobert MacCurdyZachary ManchesterDaniel CellucciMichelle C. YuenRebecca Kramer‐BottiglioAdriana Schulz
- Partner nations
- United StatesChina
In The Last Decade
Jeffrey I. Lipton
20 papers receiving 500 citations
Peers
Comparison fields: 5 of 65
- Human-Computer Interaction 73
- Mechanical Engineering 310
- Control and Systems Engineering 156
- Biomedical Engineering 220
- Computer Vision and Pattern Recognition 67
Countries citing papers authored by Jeffrey I. Lipton
This map shows the geographic impact of Jeffrey I. Lipton'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 Jeffrey I. Lipton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey I. Lipton more than expected).
Fields of papers citing papers by Jeffrey I. Lipton
This network shows the impact of papers produced by Jeffrey I. Lipton. 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 Jeffrey I. Lipton. The network helps show where Jeffrey I. Lipton may publish in the future.
Co-authorship network
The 24 scholars most cited alongside Jeffrey I. Lipton, 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 | 3 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 1 | |
| 5 | 2022 | 5 | |
| 6 | 2021 | 1 | |
| 7 | 2020 | 25 | |
| 8 | 2020 | 10 | |
| 9 | 2019 | 22 | |
| 10 | 2019 | 32 | |
| 11 | 2019 | 6 | |
| 12 | 2019 | 33 | |
| 13 | 2018 | 163 | |
| 14 | 2018 | 13 | |
| 15 | 2018 | 27 | |
| 16 | 2017 | 2 | |
| 17 | 2017 | 12 | |
| 18 | 2017 | 145 | |
| 19 | 2017 | 4 | |
| 20 | 2016 | 10 |
About Jeffrey I. Lipton
Jeffrey I. Lipton is a scholar working on Mechanical Engineering, Control and Systems Engineering and Computer Graphics and Computer-Aided Design, having authored 20 papers that have together received 518 indexed citations. Recurring topics across this work include Modular Robots and Swarm Intelligence (12 papers), Soft Robotics and Applications (8 papers), Robot Manipulation and Learning (7 papers), Advanced Materials and Mechanics (5 papers), Robotic Path Planning Algorithms (3 papers), Manufacturing Process and Optimization (2 papers), Tactile and Sensory Interactions (2 papers) and Distributed Control Multi-Agent Systems (2 papers). The work is most often cited by research in Human-Computer Interaction (73 citations), Mechanical Engineering (310 citations) and Control and Systems Engineering (156 citations). Jeffrey I. Lipton has collaborated with scholars based in United States and China. Frequent co-authors include Daniela Rus, Lillian Chin, Robert MacCurdy, Zachary Manchester, Daniel Cellucci, Michelle C. Yuen, Rebecca Kramer‐Bottiglio, Adriana Schulz, John W. Romanishin and Chenming Wu. Their work appears in journals such as Science, ACM Transactions on Graphics and Advanced Science.
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.