Larry Jackel
Impact in
- Control and Systems Engineering top 10%
- Robot Manipulation and Learning
Papers in
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- Robot Manipulation and Learning 3
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- Tactile and Sensory Interactions 4
- Co-authors
- Eric Krotkov (2 shared papers)Gill A. Pratt (1 shared paper)Xiaoran Fan (4 shared papers)Volkan Isler (5 shared papers)Daewon Lee (4 shared papers)Scott Fish (1 shared paper)Richard Howard (4 shared papers)Daniel Lee (3 shared papers)
- Journals
- Journal of Field Robotics (1 paper)IEEE Robotics and Automation Letters (1 paper)Autonomous Robots (1 paper)2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United States
In The Last Decade
Larry Jackel
9 papers receiving 220 citations
Peers
Comparison fields: 5 of 56
- Human-Computer Interaction 22
- Control and Systems Engineering 86
- Computer Vision and Pattern Recognition 70
- Automotive Engineering 37
- Biomedical Engineering 88
Countries citing papers authored by Larry Jackel
This map shows the geographic impact of Larry Jackel'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 Larry Jackel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Larry Jackel more than expected).
Fields of papers citing papers by Larry Jackel
This network shows the impact of papers produced by Larry Jackel. 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 Larry Jackel. The network helps show where Larry Jackel may publish in the future.
Co-authors
The 21 scholars most cited alongside Larry Jackel, 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 | 2016 | 102 | |
| 2 | 2006 | 37 | |
| 3 | VisualBackProp: visualizing CNNs for autonomous driving. | 2016 | 35 |
| 4 | 2022 | 21 | |
| 5 | 2020 | 14 | |
| 6 | 2021 | 12 | |
| 7 | 2023 | 5 | |
| 8 | 2022 | 3 | |
| 9 | 2023 | 2 |
About Larry Jackel
Larry Jackel is a scholar working on Control and Systems Engineering, Cognitive Neuroscience, Biomedical Engineering, Artificial Intelligence and Human-Computer Interaction, having authored 9 papers that have together received 231 indexed citations. Recurring topics across this work include Tactile and Sensory Interactions (4 papers), Robot Manipulation and Learning (3 papers), Advanced Sensor and Energy Harvesting Materials (3 papers), Anomaly Detection Techniques and Applications (2 papers), Acoustic Wave Resonator Technologies (1 paper), Speech and Audio Processing (1 paper), Cell Image Analysis Techniques (1 paper) and Transportation Safety and Impact Analysis (1 paper). The work is most often cited by research in Human-Computer Interaction (22 citations), Control and Systems Engineering (86 citations), Computer Vision and Pattern Recognition (70 citations), Automotive Engineering (37 citations) and Biomedical Engineering (88 citations). Larry Jackel has collaborated with scholars based in United States. Frequent co-authors include Eric Krotkov, Gill A. Pratt, Xiaoran Fan, Volkan Isler, Daewon Lee, Scott Fish, Richard Howard, Daniel Lee, Karol Zieba and Anna Choromanska. Their work appears in journals such as Journal of Field Robotics, IEEE Robotics and Automation Letters, Autonomous Robots, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 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.