Ronald C. Arkin

227 papers receiving 9.1k citations

Ronald C. Arkin's Hit Papers

Behavior-based formation control for multirobot teams 1998 · 2.5k citations
2.5k0+12+24Years since publication50010001.5k2.0k

Peers

Ronald C. Arkin
Comparison fields: 5 of 145
  • Computer Vision and Pattern Recognition 4.0k
  • Computer Networks and Communications 3.9k
  • Control and Systems Engineering 2.5k
  • Safety Research 814
  • Artificial Intelligence 2.9k
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Countries citing papers authored by Ronald C. Arkin

Since Specialization
Citations

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

Fields of papers citing papers by Ronald C. Arkin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ronald C. Arkin. 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 Ronald C. Arkin. The network helps show where Ronald C. Arkin may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 235 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Behavior-based formation control for multirobot teams
Hit paper breakdown →
19982475
2
Motor Schema — Based Mobile Robot Navigation
Hit paper breakdown →
1989801
3
An Behavior-based Robotics
1998416
4 1994410
5 1990343
6 2009304
7 1997238
8 2003214
9 1992207
10 1997197
11 2008190
12 2010155
13 2005143
14 2011141
15 1990136
16 2007123
17
Motor Schema-based Formation Control for Multiagent Robot Teams
199486
18 199485
19 200383
20 200483

About Ronald C. Arkin

Ronald C. Arkin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Mechanical Engineering, Social Psychology and Control and Systems Engineering, having authored 235 papers that have together received 10.2k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (75 papers), Modular Robots and Swarm Intelligence (42 papers), AI-based Problem Solving and Planning (31 papers), Robotics and Sensor-Based Localization (30 papers), Ethics and Social Impacts of AI (30 papers), Social Robot Interaction and HRI (29 papers), Reinforcement Learning in Robotics (27 papers) and Formal Methods in Verification (19 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (4.0k citations), Computer Networks and Communications (3.9k citations), Control and Systems Engineering (2.5k citations), Safety Research (814 citations) and Artificial Intelligence (2.9k citations). Ronald C. Arkin has collaborated with scholars based in United States, Japan and South Korea. Frequent co-authors include Tucker Balch, Douglas C. MacKenzie, Alan R. Wagner, Jonathan Cameron, Patrick Ulam, Robin R. Murphy, Masahiro Fujita, Tsuyoshi Takagi, Lilia Moshkina and Yoichiro Endo. Their work appears in journals such as Robotics and Autonomous Systems, Adaptive Behavior, Autonomous Robots, IEEE Technology and Society Magazine and IEEE Intelligent Systems.

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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