David C. Conner

41 papers receiving 799 citations

Peers

David C. Conner
Comparison fields: 5 of 68
  • Computer Vision and Pattern Recognition 438
  • Software 76
  • Control and Systems Engineering 313
  • Computer Graphics and Computer-Aided Design 40
  • Computational Theory and Mathematics 133
Replace Robert Bohlin with:
Robert Bohlin Sweden
Ε. Freund Germany
Matt Zucker United States
Mihail Pivtoraiko United States
Mustafa Mukadam United States
Kwangjin Yang South Korea
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Citations per field
00.5×3.6×
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Citations per year

Countries citing papers authored by David C. Conner

Since Specialization
Citations

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

Fields of papers citing papers by David C. Conner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside David C. Conner, 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 C. Conner Line = papers co-authored together David C. Conner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005135
2 2004107
3 200581
4 201466
5 200761
6 200643
7 200837
8 200932
9 200831
10 201627
11 201427
12 201621
13 201116
14 201716
15 201414
16 200613
17 200313
18 201511
19 201610
20 20138

About David C. Conner

David C. Conner is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Biomedical Engineering, Aerospace Engineering and Mechanical Engineering, having authored 42 papers that have together received 834 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (19 papers), Robotic Locomotion and Control (12 papers), Robotics and Sensor-Based Localization (11 papers), Robot Manipulation and Learning (9 papers), Modular Robots and Swarm Intelligence (7 papers), Control and Dynamics of Mobile Robots (7 papers), Model-Driven Software Engineering Techniques (4 papers) and Formal Methods in Verification (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (438 citations), Software (76 citations), Control and Systems Engineering (313 citations), Computer Graphics and Computer-Aided Design (40 citations) and Computational Theory and Mathematics (133 citations). David C. Conner has collaborated with scholars based in United States, Germany and Jordan. Frequent co-authors include Howie Choset, A.A. Rizzi, P.N. Atkar, Alfred A. Rizzi, Aaron Greenfield, Hadas Kress‐Gazit, Oskar von Stryk, Stefan Kohlbrecher, George J. Pappas and Philipp Schillinger. Their work appears in journals such as Journal of Field Robotics, IEEE Transactions on Automation Science and Engineering, Journal of Intelligent & Robotic Systems, IEEE Transactions on Robotics and IEEE Robotics & Automation Magazine.

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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