Daniel Claes
Impact in
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- Robotic Path Planning Algorithms
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- Distributed Control Multi-Agent Systems
- Optimization and Search Problems
Papers in
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- Distributed Control Multi-Agent Systems 5
- Optimization and Search Problems 3
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- Robotic Path Planning Algorithms 7
- Co-authors
- Karl Tuyls (14 shared papers)Daniel Hennes (8 shared papers)Wim Meeussen (3 shared papers)Frans A. Oliehoek (3 shared papers)Hendrik Baier (2 shared papers)Bijan Ranjbar-Sahraei (2 shared papers)Gerhard Weiß (2 shared papers)Wiebe van der Hoek (2 shared papers)
- Journals
- Autonomous Robots (1 paper)National Conference on Artificial Intelligence (1 paper)Adaptive Agents and Multi-Agents Systems (1 paper)
- Partner nations
- NetherlandsUnited KingdomUnited States
In The Last Decade
Daniel Claes
11 papers receiving 244 citations
Peers
Comparison fields: 5 of 43
- Computer Vision and Pattern Recognition 148
- Computer Networks and Communications 94
- Aerospace Engineering 77
- Automotive Engineering 29
- Industrial and Manufacturing Engineering 24
Countries citing papers authored by Daniel Claes
This map shows the geographic impact of Daniel Claes'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 Daniel Claes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Claes more than expected).
Fields of papers citing papers by Daniel Claes
This network shows the impact of papers produced by Daniel Claes. 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 Daniel Claes. The network helps show where Daniel Claes may publish in the future.
Co-authors
The 9 scholars most cited alongside Daniel Claes, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 69 | |
| 2 | 2012 | 51 | |
| 3 | 2018 | 36 | |
| 4 | 2017 | 34 | |
| 5 | 2015 | 18 | |
| 6 | 2013 | 17 | |
| 7 | 2014 | 12 | |
| 8 | 2014 | 4 | |
| 9 | 2017 | 4 | |
| 10 | 2016 | 3 | |
| 11 | 2016 | 2 | |
| 12 | Telepresence Robots as a Research Platform for AI | 2013 | 1 |
| 13 | CALU: collision avoidance with localization uncertainty | 2012 | 1 |
| 14 | 2017 | 0 | |
| 15 | Effective Approximations for Spatial Task Allocation Problems | 2015 | 0 |
About Daniel Claes
Daniel Claes is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Aerospace Engineering, Mechanical Engineering and Management Science and Operations Research, having authored 15 papers that have together received 252 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (7 papers), Robotics and Sensor-Based Localization (6 papers), Modular Robots and Swarm Intelligence (5 papers), Distributed Control Multi-Agent Systems (5 papers), Optimization and Search Problems (3 papers), Auction Theory and Applications (3 papers), Slime Mold and Myxomycetes Research (3 papers) and Robotics and Automated Systems (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (148 citations), Computer Networks and Communications (94 citations), Aerospace Engineering (77 citations), Automotive Engineering (29 citations) and Industrial and Manufacturing Engineering (24 citations). Daniel Claes has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include Karl Tuyls, Daniel Hennes, Wim Meeussen, Frans A. Oliehoek, Hendrik Baier, Bijan Ranjbar-Sahraei, Gerhard Weiß, Wiebe van der Hoek and Daan Bloembergen. Their work appears in journals such as Autonomous Robots, National Conference on Artificial Intelligence and Adaptive Agents and Multi-Agents 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.