Ken Conley

414 citations
9 papers · 370 · h-index 6

Impact in

Papers in

Ken Conley

9 papers receiving 351 citations

Peers

Ken Conley
Comparison fields: 5 of 73
  • Computer Vision and Pattern Recognition 128
  • Control and Systems Engineering 117
  • Aerospace Engineering 96
  • Geology 19
  • Human-Computer Interaction 19
Replace Sumit Gupta with:
Sumit Gupta India
Chris Scrapper United States
Enric Cervera Spain
Raymond Sheh Australia
Christof Röhrig Germany
Jonay Toledo Spain
Casey J. Helfrich United States
Sai Vemprala United States
Jurriaan D. Mulder Netherlands
Curtis M. Humphrey United States
Ken Conley relative to Sumit Gupta India Sumit Gupta's profile →
Citations per field
00.5×2.9×
Sumit Gupta · 1×
Citations per year

Countries citing papers authored by Ken Conley

Since Specialization
Citations

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

Fields of papers citing papers by Ken Conley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Ken Conley, 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 Ken Conley Line = papers co-authored together Ken Conley links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2010265
2 200643
3
Sharing software with ROS
201021
4 200216
5 201110
6 20066
7
Robot Developer Kits
20113
8 20033
9 20053

About Ken Conley

Ken Conley is a scholar working on Computer Networks and Communications, Control and Systems Engineering, Electrical and Electronic Engineering, Artificial Intelligence and Information Systems, having authored 9 papers that have together received 370 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (3 papers), Semiconductor materials and devices (3 papers), Semiconductor Lasers and Optical Devices (2 papers), Constraint Satisfaction and Optimization (2 papers), Multi-Agent Systems and Negotiation (2 papers), Robotics and Automated Systems (2 papers), AI-based Problem Solving and Planning (1 paper) and Robotic Path Planning Algorithms (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (128 citations), Control and Systems Engineering (117 citations), Aerospace Engineering (96 citations), Geology (19 citations) and Human-Computer Interaction (19 citations). Ken Conley has collaborated with scholars based in Japan and United States. Frequent co-authors include Brian Gerkey, Steve Cousins, Tomás E. Uribe, Bart Peintner, Neil Yorke‐Smith, Melinda Gervasio, Masato Saito, Jonathan P. Pearce, Tamio Ikehashi and K.N. Quader. Their work appears in journals such as IEEE Robotics & Automation Magazine, IEEE Journal of Solid-State Circuits and 2002 IEEE International Solid-State Circuits Conference. Digest of Technical Papers (Cat. No.02CH37315).

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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