David V. Lu
Impact in
-
- Robotic Path Planning Algorithms
-
- Robotics and Automated Systems
- Robot Manipulation and Learning
Papers in
-
- Social Robot Interaction and HRI 6
- Action Observation and Synchronization 2
- Color perception and design 1
-
- Robotic Path Planning Algorithms 5
- Multimodal Machine Learning Applications 1
- Co-authors
- William D. Smart (7 shared papers)Dave Hershberger (1 shared paper)Steve Macenski (1 shared paper)Tom Moore (1 shared paper)Michael A. J. Ferguson (1 shared paper)Sarah Osentoski (1 shared paper)Jihoon Lee (1 shared paper)Sonia Chernova (1 shared paper)
- Journals
- Bioinformatics (1 paper)Economics Letters (1 paper)Robotics and Autonomous Systems (1 paper)Lecture notes in computer science (1 paper)National Conference on Artificial Intelligence (1 paper)
- Partner nations
- United StatesGermanyNetherlands
In The Last Decade
David V. Lu
14 papers receiving 468 citations
Peers
Comparison fields: 5 of 68
- Computer Vision and Pattern Recognition 257
- Control and Systems Engineering 173
- Social Psychology 146
- Aerospace Engineering 156
- Human-Computer Interaction 31
Countries citing papers authored by David V. Lu
This map shows the geographic impact of David V. Lu'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 David V. Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David V. Lu more than expected).
Fields of papers citing papers by David V. Lu
This network shows the impact of papers produced by David V. Lu. 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 David V. Lu. The network helps show where David V. Lu may publish in the future.
Co-authors
The 16 scholars most cited alongside David V. Lu, 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 | 213 | |
| 2 | 2015 | 71 | |
| 3 | 2013 | 69 | |
| 4 | 2023 | 51 | |
| 5 | 2011 | 28 | |
| 6 | 2013 | 17 | |
| 7 | 2011 | 16 | |
| 8 | 2012 | 8 | |
| 9 | 2009 | 6 | |
| 10 | 2014 | 3 | |
| 11 | What Can Actors Teach Robots About Interaction | 2010 | 2 |
| 12 | 2020 | 2 | |
| 13 | Relative Comfort of People with Acting Robots by Theatre and Technology Experience. | 2012 | 1 |
| 14 | 2017 | 1 |
About David V. Lu
David V. Lu is a scholar working on Social Psychology, Computer Vision and Pattern Recognition, Control and Systems Engineering, Artificial Intelligence and Aerospace Engineering, having authored 14 papers that have together received 488 indexed citations. Recurring topics across this work include Social Robot Interaction and HRI (6 papers), Robotic Path Planning Algorithms (5 papers), Robotics and Automated Systems (4 papers), Modular Robots and Swarm Intelligence (2 papers), Action Observation and Synchronization (2 papers), Robotics and Sensor-Based Localization (2 papers), Multimodal Machine Learning Applications (1 paper) and Color perception and design (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (257 citations), Control and Systems Engineering (173 citations), Social Psychology (146 citations), Aerospace Engineering (156 citations) and Human-Computer Interaction (31 citations). David V. Lu has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include William D. Smart, Dave Hershberger, Steve Macenski, Tom Moore, Michael A. J. Ferguson, Sarah Osentoski, Jihoon Lee, Sonia Chernova, Odest Chadwicke Jenkins and Julius Kammerl. Their work appears in journals such as Bioinformatics, Economics Letters, Robotics and Autonomous Systems, Lecture notes in computer science 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.