Daniel Claes
Impact in
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- Robotic Path Planning Algorithms
Papers in
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- Robotic Path Planning Algorithms 9
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- Reinforcement Learning in Robotics 3
- AI-based Problem Solving and Planning 2
- Co-authors
- Karl Tuyls (20 shared papers)Daniel Hennes (10 shared papers)Wim Meeussen (4 shared papers)Frans Adriaan Oliehoek (4 shared papers)Bijan Ranjbar-Sahraei (3 shared papers)Gerhard Weiß (5 shared papers)Wiebe van der Hoek (2 shared papers)Daan Bloembergen (1 shared paper)
- Journals
- Autonomous Robots (1 paper)Lecture notes in computer science (3 papers)Communications in computer and information science (1 paper)Elsevier eBooks (1 paper)Adaptive Agents and Multi-Agents Systems (4 papers)
- Partner nations
- NetherlandsUnited KingdomFrance
In The Last Decade
Daniel Claes
15 papers receiving 304 citations
Peers
Comparison fields: 5 of 33
- Computer Vision and Pattern Recognition 167
- Industrial and Manufacturing Engineering 20
- Artificial Intelligence 70
- Computer Networks and Communications 45
- Aerospace Engineering 48
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 8 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 | 79 | |
| 2 | 2012 | 57 | |
| 3 | 2017 | 41 | |
| 4 | 2018 | 40 | |
| 5 | 2015 | 22 | |
| 6 | 2013 | 21 | |
| 7 | 2014 | 15 | |
| 8 | 2015 | 8 | |
| 9 | 2015 | 8 | |
| 10 | 2014 | 7 | |
| 11 | 2014 | 5 | |
| 12 | 2017 | 4 | |
| 13 | 2015 | 3 | |
| 14 | 2016 | 3 | |
| 15 | CALU: collision avoidance with localization uncertainty | 2012 | 1 |
| 16 | 2013 | 1 | |
| 17 | Effective Approximations for Spatial Task Allocation Problems | 2015 | 1 |
| 18 | 2012 | 0 | |
| 19 | 2014 | 0 | |
| 20 | 2017 | 0 |
About Daniel Claes
Daniel Claes is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Mechanical Engineering and Industrial and Manufacturing Engineering, having authored 20 papers that have together received 316 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (9 papers), Modular Robots and Swarm Intelligence (5 papers), Robotics and Sensor-Based Localization (4 papers), Reinforcement Learning in Robotics (3 papers), Robot Manipulation and Learning (3 papers), AI-based Problem Solving and Planning (2 papers), Distributed Control Multi-Agent Systems (2 papers) and Advanced Manufacturing and Logistics Optimization (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (167 citations), Industrial and Manufacturing Engineering (20 citations), Artificial Intelligence (70 citations), Computer Networks and Communications (45 citations) and Aerospace Engineering (48 citations). Daniel Claes has collaborated with scholars based in Netherlands, United Kingdom and France. Frequent co-authors include Karl Tuyls, Daniel Hennes, Wim Meeussen, Frans Adriaan Oliehoek, Bijan Ranjbar-Sahraei, Gerhard Weiß, Wiebe van der Hoek and Daan Bloembergen. Their work appears in journals such as Autonomous Robots, Lecture notes in computer science, Communications in computer and information science, Elsevier eBooks 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.