David V. Lu

667 citations
13 papers · 414 · h-index 7

Impact in

Papers in

David V. Lu

13 papers receiving 395 citations

Peers

David V. Lu
Comparison fields: 5 of 67
  • Computer Vision and Pattern Recognition 223
  • Control and Systems Engineering 146
  • Social Psychology 122
  • Aerospace Engineering 138
  • Human-Computer Interaction 26
Replace C. Laugier with:
C. Laugier France
H.-J. Boehme Germany
R. Piguet Switzerland
Dave Hershberger United States
Konstantinos Charalampous Greece
Tetsuo Tomizawa Japan
Claudia Pérez-D’Arpino United States
M. Merten Germany
Krishnanand N. Kaipa United States
Garratt Gallagher United States
David V. Lu relative to C. Laugier France C. Laugier's profile →
Citations per field
00.5×1.5×2.4×
C. Laugier · 1×
Citations per year

Countries citing papers authored by David V. Lu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 15 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.

Border = papers with David V. Lu Line = papers co-authored together David V. Lu links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2014183
2 201566
3 201360
4 202345
5 201124
6 201114
7 20128
8 20096
9
What Can Actors Teach Robots About Interaction
20102
10 20142
11 20202
12
Relative Comfort of People with Acting Robots by Theatre and Technology Experience.
20121
13 20171

About David V. Lu

David V. Lu is a scholar working on Social Psychology, Control and Systems Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering, having authored 13 papers that have together received 414 indexed citations. Recurring topics across this work include Social Robot Interaction and HRI (5 papers), Robotics and Automated Systems (4 papers), Robotic Path Planning Algorithms (4 papers), Robotics and Sensor-Based Localization (2 papers), Action Observation and Synchronization (2 papers), Modular Robots and Swarm Intelligence (2 papers), Data Management and Algorithms (1 paper) and Decision-Making and Behavioral Economics (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (223 citations), Control and Systems Engineering (146 citations), Social Psychology (122 citations), Aerospace Engineering (138 citations) and Human-Computer Interaction (26 citations). David V. Lu has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include William D. Smart, Dave Hershberger, Steve Macenski, Michael A. J. Ferguson, Tom Moore, Sarah Osentoski, Jihoon Lee, Odest Chadwicke Jenkins, Julius Kammerl and Sonia Chernova. Their work appears in journals such as Robotics and Autonomous Systems, Economics Letters, Bioinformatics, Open Scholarship Institutional Repository (Washington University in St. Louis) 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.

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