Daniel Claes

423 citations
22 papers · 304 · h-index 8

Impact in

Papers in

Daniel Claes

17 papers receiving 289 citations

Peers

Daniel Claes
Comparison fields: 5 of 47
  • Computer Vision and Pattern Recognition 175
  • Computer Networks and Communications 105
  • Aerospace Engineering 94
  • Industrial and Manufacturing Engineering 32
  • Automotive Engineering 32
Replace Jacopo Banfi with:
Jacopo Banfi Italy
Daniele Calisi Italy
José J. Acevedo Spain
Kuo-Hsien Hsia Taiwan
Benoit Morisset United States
Yulong Ding China
Yunfei Shi United States
Sara Pérez-Carabaza Spain
Brian Capozzi United States
Ebtehal T. Alotaibi Saudi Arabia
Daniel Claes relative to Jacopo Banfi Italy Jacopo Banfi's profile →
Citations per field
00.5×3.8×
Jacopo Banfi · 1×
Citations per year

Countries citing papers authored by Daniel Claes

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Daniel Claes Line = papers co-authored together Daniel Claes links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201275
2 201255
3 201740
4 201838
5 201321
6 201520
7 201415
8 20157
9 20146
10 20156
11 20145
12 20174
13 20163
14 20162
15 20152
16
Telepresence Robots as a Research Platform for AI
20131
17
CALU: collision avoidance with localization uncertainty
20121
18 20131
19
Swarmlab@work team description paper
20131
20
Effective Approximations for Spatial Task Allocation Problems
20151

About Daniel Claes

Daniel Claes is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Mechanical Engineering, Aerospace Engineering and Biomedical Engineering, having authored 22 papers that have together received 304 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (11 papers), Modular Robots and Swarm Intelligence (9 papers), Robotics and Sensor-Based Localization (8 papers), Distributed Control Multi-Agent Systems (6 papers), Slime Mold and Myxomycetes Research (4 papers), Optimization and Search Problems (3 papers), Auction Theory and Applications (3 papers) and Advanced Vision and Imaging (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (175 citations), Computer Networks and Communications (105 citations), Aerospace Engineering (94 citations), Industrial and Manufacturing Engineering (32 citations) and Automotive Engineering (32 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, Lecture notes in computer science, Communications in computer and information science, National Conference on Artificial Intelligence and Data Archiving and Networked Services (DANS).

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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