David C. Conner

1.2k citations
47 papers · 971 · h-index 16

Impact in

Papers in

David C. Conner

43 papers receiving 936 citations

Peers

David C. Conner
Comparison fields: 5 of 43
  • Computer Vision and Pattern Recognition 366
  • Control and Systems Engineering 303
  • Industrial and Manufacturing Engineering 92
  • Computational Theory and Mathematics 143
  • Computational Mechanics 100
Replace Kamal Kant Gupta with:
Kamal Kant Gupta Canada
David Herrero‐Perez Spain
Jinzhu Peng China
Ε. Freund Germany
Robert Bohlin Sweden
Xianzhong Dai China
Aurelio Piazzi Italy
Jan Rosell Spain
Xiliang Tong China
Weijun Wang China
David C. Conner relative to Kamal Kant Gupta Canada Kamal Kant Gupta's profile →
Citations per field
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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 20 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 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005147
2 2004122
3 200588
4 201471
5 200764
6 200651
7 200839
8 201637
9 200934
10 200833
11 201433
12 201623
13 201121
14 200618
15 201718
16 201417
17 201615
18 201514
19 200313
20 200512

About David C. Conner

David C. Conner is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Aerospace Engineering and Industrial and Manufacturing Engineering, having authored 47 papers that have together received 971 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (17 papers), Robot Manipulation and Learning (9 papers), Robotics and Sensor-Based Localization (8 papers), Formal Methods in Verification (7 papers), Robotics and Automated Systems (7 papers), Robotic Locomotion and Control (6 papers), Control and Dynamics of Mobile Robots (5 papers) and Robotic Mechanisms and Dynamics (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (366 citations), Control and Systems Engineering (303 citations), Industrial and Manufacturing Engineering (92 citations), Computational Theory and Mathematics (143 citations) and Computational Mechanics (100 citations). David C. Conner has collaborated with scholars based in United States and Germany. Frequent co-authors include Howie Choset, A.A. Rizzi, Prasad N. Atkar, Alfred A. Rizzi, Aaron Greenfield, Oskar von Stryk, Stefan Kohlbrecher, Hadas Kress‐Gazit, George J. Pappas and Philipp Schillinger. Their work appears in journals such as Journal of Field Robotics, IEEE Transactions on Automation Science and Engineering, Springer tracts in advanced robotics, Journal of Intelligent & Robotic Systems and The International Journal of Robotics Research.

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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