Lanny Lin
Impact in
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- Robotic Path Planning Algorithms
- Aerospace Engineering top 5%
- Robotics and Sensor-Based Localization
- UAV Applications and Optimization
Papers in
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- Robotic Path Planning Algorithms 5
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- Robotics and Sensor-Based Localization 5
- Co-authors
- Michael A. Goodrich (7 shared papers)Bryan S. Morse (2 shared papers)Jacob W. Crandall (1 shared paper)
- Journals
- IEEE Transactions on Cybernetics (1 paper)Computational and Mathematical Organization Theory (1 paper)ScholarsArchive (Brigham Young University) (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)National Conference on Artificial Intelligence (1 paper)
- Partner nations
- United States
In The Last Decade
Lanny Lin
6 papers receiving 290 citations
Peers
Comparison fields: 5 of 50
- Computer Vision and Pattern Recognition 189
- Aerospace Engineering 195
- Computer Networks and Communications 107
- Ocean Engineering 26
- Artificial Intelligence 52
Countries citing papers authored by Lanny Lin
This map shows the geographic impact of Lanny Lin'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 Lanny Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lanny Lin more than expected).
Fields of papers citing papers by Lanny Lin
This network shows the impact of papers produced by Lanny Lin. 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 Lanny Lin. The network helps show where Lanny Lin may publish in the future.
Co-authors
The 3 scholars most cited alongside Lanny Lin, 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 | 2014 | 104 | |
| 2 | 2009 | 97 | |
| 3 | 2010 | 54 | |
| 4 | 2010 | 17 | |
| 5 | 2015 | 16 | |
| 6 | 2012 | 10 | |
| 7 | Encoding Intelligent Agents for Uncertain, Unknown, and Dynamic Tasks: From Programming to Interactive Artificial Learning. | 2009 | 0 |
About Lanny Lin
Lanny Lin is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Computer Networks and Communications, Social Psychology and Artificial Intelligence, having authored 7 papers that have together received 298 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (5 papers), Robotic Path Planning Algorithms (5 papers), Optimization and Search Problems (3 papers), Human-Automation Interaction and Safety (2 papers), Target Tracking and Data Fusion in Sensor Networks (1 paper), Underwater Vehicles and Communication Systems (1 paper), Gaussian Processes and Bayesian Inference (1 paper) and Logic, Reasoning, and Knowledge (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (189 citations), Aerospace Engineering (195 citations), Computer Networks and Communications (107 citations), Ocean Engineering (26 citations) and Artificial Intelligence (52 citations). Lanny Lin has collaborated with scholars based in United States. Frequent co-authors include Michael A. Goodrich, Bryan S. Morse and Jacob W. Crandall. Their work appears in journals such as IEEE Transactions on Cybernetics, Computational and Mathematical Organization Theory, ScholarsArchive (Brigham Young University), Proceedings of the AAAI Conference on Artificial Intelligence and National Conference on Artificial Intelligence.
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.