Paul E. Rybski

5.0k citations
83 papers · 2.5k · h-index 30

Impact in

Papers in

Paul E. Rybski

80 papers receiving 2.4k citations

Peers

Paul E. Rybski
Comparison fields: 5 of 109
  • Computer Vision and Pattern Recognition 1.0k
  • Automotive Engineering 351
  • Human-Computer Interaction 172
  • Social Psychology 572
  • Control and Systems Engineering 559
Replace Ross A. Knepper with:
Ross A. Knepper United States
Nathan Koenig United States
David Kortenkamp United States
Miguel Á. Salichs Spain
Goldie Nejat Canada
Dirk Wollherr Germany
Marc Hanheide United Kingdom
Kai O. Arras Germany
Lorenzo Sabattini Italy
Takahiro Miyashita Japan
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Citations per field
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Citations per year

Countries citing papers authored by Paul E. Rybski

Since Specialization
Citations

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

Fields of papers citing papers by Paul E. Rybski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul E. Rybski. 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 Paul E. Rybski. The network helps show where Paul E. Rybski may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012142
2 2009134
3 2010129
4 2002116
5 2012105
6 2009103
7 200998
8 200796
9 201094
10 200083
11 201280
12 201079
13 200278
14 200871
15 200064
16 200361
17 201258
18 200955
19 200855
20 201251

About Paul E. Rybski

Paul E. Rybski is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Mechanical Engineering, Computer Networks and Communications and Artificial Intelligence, having authored 83 papers that have together received 2.5k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (30 papers), Robotics and Sensor-Based Localization (25 papers), Modular Robots and Swarm Intelligence (24 papers), Video Surveillance and Tracking Methods (14 papers), Distributed Control Multi-Agent Systems (13 papers), Autonomous Vehicle Technology and Safety (10 papers), Advanced Image and Video Retrieval Techniques (10 papers) and AI in Service Interactions (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.0k citations), Automotive Engineering (351 citations), Human-Computer Interaction (172 citations), Social Psychology (572 citations) and Control and Systems Engineering (559 citations). Paul E. Rybski has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Jodi Forlizzi, Maria Gini, Manuela Veloso, S.A. Stoeter, Min Kyung Lee, Sara Kiesler, Nikos Papanikolopoulos, Dean F. Hougen, Michael Darms and Siddhartha S Srinivasa. Their work appears in journals such as Autonomous Robots, AI Magazine, IEEE Robotics & Automation Magazine, Journal of Intelligent & Robotic Systems and Robotics and Autonomous 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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