Paul E. Rybski

5.0k citations
74 papers · 2.2k · h-index 29

Impact in

Papers in

Paul E. Rybski

70 papers receiving 2.1k citations

Peers

Paul E. Rybski
Comparison fields: 5 of 107
  • Computer Vision and Pattern Recognition 878
  • Automotive Engineering 322
  • Human-Computer Interaction 143
  • Social Psychology 496
  • Control and Systems Engineering 471
Replace Nathan Koenig with:
Nathan Koenig United States
Kai O. Arras Germany
Takahiro Miyashita Japan
Dirk Wollherr Germany
Marc Hanheide United Kingdom
Nikolaos Papanikolopoulos United States
Miguel Á. Salichs Spain
Brett Browning United States
Lorenzo Sabattini Italy
B. Benhabib Canada
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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 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012125
2 2010120
3 2009112
4 2002107
5 201298
6 200991
7 200989
8 200777
9 200076
10 201075
11 201075
12 201271
13 200270
14 200866
15 200955
16 200354
17 200053
18 201248
19 201248
20 200847

About Paul E. Rybski

Paul E. Rybski is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Mechanical Engineering, Artificial Intelligence and Computer Networks and Communications, having authored 74 papers that have together received 2.2k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (27 papers), Robotics and Sensor-Based Localization (23 papers), Modular Robots and Swarm Intelligence (18 papers), Video Surveillance and Tracking Methods (13 papers), Autonomous Vehicle Technology and Safety (10 papers), Distributed Control Multi-Agent Systems (9 papers), Advanced Image and Video Retrieval Techniques (9 papers) and AI in Service Interactions (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (878 citations), Automotive Engineering (322 citations), Human-Computer Interaction (143 citations), Social Psychology (496 citations) and Control and Systems Engineering (471 citations). Paul E. Rybski has collaborated with scholars based in United States, France and Sweden. Frequent co-authors include Jodi Forlizzi, Manuela Veloso, Maria Gini, Min Kyung Lee, S.A. Stoeter, Sara Kiesler, Nikos Papanikolopoulos, Michael Darms, Dean F. Hougen and Siddhartha S Srinivasa. Their work appears in journals such as AI Magazine, Autonomous Robots, IEEE Robotics & Automation Magazine, Robotics and Autonomous Systems and Journal of Intelligent & Robotic 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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