Devin Balkcom

59 papers receiving 890 citations

Peers

Devin Balkcom
Comparison fields: 5 of 78
  • Computer Vision and Pattern Recognition 456
  • Control and Systems Engineering 493
  • Human-Computer Interaction 60
  • Architecture 14
  • Computer Graphics and Computer-Aided Design 31
Replace Kimitoshi Yamazaki with:
Kimitoshi Yamazaki Japan
Andrew Spielberg United States
Jeffrey Ichnowski United States
Max Schwarz Germany
Nakju Lett Doh South Korea
Daniel Seita United States
Andreas Kargakos Greece
Alexandr Klimchik Russia
Soshi Iba United States
Roi Poranne Israel
Devin Balkcom relative to Kimitoshi Yamazaki Japan Kimitoshi Yamazaki's profile →
Citations per field
00.5×4.5×
Kimitoshi Yamazaki · 1×
Citations per year

Countries citing papers authored by Devin Balkcom

Since Specialization
Citations

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

Fields of papers citing papers by Devin Balkcom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Devin Balkcom. 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 Devin Balkcom. The network helps show where Devin Balkcom may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008141
2 2002135
3 200653
4 200451
5 200943
6 201937
7 200634
8 201531
9 202028
10 200228
11 200227
12 202320
13 200319
14 201017
15 202216
16 200215
17 201615
18 201413
19 202113
20 200811

About Devin Balkcom

Devin Balkcom is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Mechanical Engineering, Biomedical Engineering and Aerospace Engineering, having authored 62 papers that have together received 918 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (28 papers), Modular Robots and Swarm Intelligence (19 papers), Control and Dynamics of Mobile Robots (15 papers), Robotic Mechanisms and Dynamics (15 papers), Robot Manipulation and Learning (12 papers), Soft Robotics and Applications (11 papers), Guidance and Control Systems (5 papers) and Manufacturing Process and Optimization (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (456 citations), Control and Systems Engineering (493 citations), Human-Computer Interaction (60 citations), Architecture (14 citations) and Computer Graphics and Computer-Aided Design (31 citations). Devin Balkcom has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Matthew T. Mason, Weifu Wang, Hamidreza Chitsaz, Jeff Trinkle, Steven M. LaValle, Dmitry Berenson, Xia Zhou, Ruibo Liu, Siqi Wang and Amit Chakrabarti. Their work appears in journals such as The International Journal of Robotics Research, IEEE Robotics and Automation Letters, IEEE Transactions on Automation Science and Engineering, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies and Nature Communications.

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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