Daniel Carton
- Computer Vision and Pattern Recognition top 10%
- Human-Computer Interaction top 5%
- Control and Systems Engineering top 10%
- Social Psychology
- Aerospace Engineering
- Co-authors
- Dirk WollherrMartin BussMichael Van den BerghLuc Van GoolUlrich KlankMichael BeetzManfred TscheligiJakub Złotowski
- Topics
- Social Robot Interaction and HRI (4 papers)Robot Manipulation and Learning (3 papers)Advanced Vision and Imaging (2 papers)
- Cited by
- Human-Computer InteractionComputer Vision and Pattern RecognitionControl and Systems Engineering
- Partner nations
- GermanySwitzerlandBelgium
In The Last Decade
Daniel Carton
12 papers receiving 249 citations
Peers
Comparison fields: 5 of 44
- Computer Vision and Pattern Recognition 140
- Human-Computer Interaction 115
- Control and Systems Engineering 92
- Social Psychology 61
- Aerospace Engineering 40
Countries citing papers authored by Daniel Carton
This map shows the geographic impact of Daniel Carton'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 Carton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Carton more than expected).
Fields of papers citing papers by Daniel Carton
This network shows the impact of papers produced by Daniel Carton. 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 Carton. The network helps show where Daniel Carton may publish in the future.
Co-authorship network of co-authors of Daniel Carton
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Carton. A scholar is included among the top collaborators of Daniel Carton based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Carton. Daniel Carton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 12 | |
| 3 | 7 | |
| 4 | 21 | |
| 5 | 4 | |
| 6 | 5 | |
| 7 | 15 | |
| 8 | 2 | |
| 9 | Towards proactive human-robot interaction in human environments | 21 |
| 10 | 127 | |
| 11 | 48 | |
| 12 | "Bien entendu ... c'est off" | 3 |
| 13 | Cohabitation, intrigues et confidences | 1 |
About Daniel Carton
Daniel Carton is a scholar working on Instrumentation, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 13 papers that have together received 266 indexed citations. Recurring topics across this work include Social Robot Interaction and HRI (4 papers), Robot Manipulation and Learning (3 papers) and Advanced Vision and Imaging (2 papers). The work is most often cited by research in Human-Computer Interaction (115 citations), Computer Vision and Pattern Recognition (140 citations) and Control and Systems Engineering (92 citations). Daniel Carton has collaborated with scholars based in Germany, Switzerland and Belgium. Frequent co-authors include Dirk Wollherr, Martin Buss, Michael Van den Bergh, Luc Van Gool, Ulrich Klank, Michael Beetz, Manfred Tscheligi, Jakub Złotowski, Astrid Weiss and Stefan Sosnowski. Their work appears in journals such as PLoS ONE, International Journal of Social Robotics and Publicationes Mathematicae Debrecen.
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.