William D. Smart

3.2k citations
117 papers · 2.0k indexed · h-index 22

William D. Smart

114 papers receiving 1.9k citations

Peers

William D. Smart
Comparison fields: 5 of 131
  • Human-Computer Interaction 174
  • Computer Vision and Pattern Recognition 616
  • Control and Systems Engineering 524
  • Artificial Intelligence 693
  • Social Psychology 318
Replace Jacob W. Crandall with:
Jacob W. Crandall United States
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Cecilio Ángulo Spain
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Jim Tørresen Norway
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Andrea L. Thomaz United States
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Citations per field
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Citations per year

Countries citing papers authored by William D. Smart

Since Specialization
Citations

This map shows the geographic impact of William D. Smart'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 William D. Smart with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William D. Smart more than expected).

Fields of papers citing papers by William D. Smart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William D. Smart. 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 William D. Smart. The network helps show where William D. Smart may publish in the future.

Co-authorship network

The 25 scholars most cited alongside William D. Smart, 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 William D. Smart Line = papers co-authored together William D. Smart links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20242
3 20241
4
An Education Theory of Fault For Autonomous Systems
20213
5 202016
6
Averting Robot Eyes
201714
7
Dimensionality Reduced Reinforcement Learning for Assistive Robots.
20166
8
POMDPs for Risk-Aware Autonomy.
20161
9 201610
10
What Can Actors Teach Robots About Interaction
20102
11 20102
12
Receding Horizon Differential Dynamic Programming
200780
13 20051
14 200413
15
Explicit Manifold Representations for Value-Function Approximation in Reinforcement Learning.
20049
16 200429
17
Say Cheese!: Experiences with a Robot Photographer.
20039
18
Lewis the Graduate Student: An Entry in the AAAI Robot Challenge.
20035
19 20023
20 199716

About William D. Smart

William D. Smart is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Hardware and Architecture, having authored 117 papers that have together received 2.0k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (21 papers), Social Robot Interaction and HRI (16 papers), Robotic Path Planning Algorithms (15 papers), Modular Robots and Swarm Intelligence (12 papers), Robotics and Automated Systems (12 papers), Robot Manipulation and Learning (9 papers), Robotics and Sensor-Based Localization (9 papers) and Real-Time Systems Scheduling (9 papers). The work is most often cited by research in Human-Computer Interaction (174 citations), Computer Vision and Pattern Recognition (616 citations) and Control and Systems Engineering (524 citations). William D. Smart has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Leslie Pack Kaelbling, David V. Lu, Dave Hershberger, Cindy Grimm, Tom Erez, Morgan Quigley, Brian Gerkey, Yuval Tassa, Csaba Szepesvári and Caroline Pantofaru. Their work appears in journals such as AI Magazine, Pediatric Physical Therapy, IEEE Robotics & Automation Magazine, Autonomous Robots and Maryland law review.

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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