Jacques Penders
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Mechanical Engineering
- Control and Systems Engineering
- Aerospace Engineering
- Co-authors
- Lyuba AlboulJoan Sàez-PonsUlf WitkowskiVeysel GaziPeter E. JonesProkar DasguptaKaspar AlthoeferThrishantha Nanayakkara
- Topics
- Robotic Path Planning Algorithms (14 papers)Distributed Control Multi-Agent Systems (9 papers)Tactile and Sensory Interactions (8 papers)
- Cited by
- Human-Computer InteractionComputer Networks and CommunicationsComputer Vision and Pattern Recognition
- Partner nations
- United KingdomSpainNetherlands
In The Last Decade
Jacques Penders
38 papers receiving 275 citations
Peers
Comparison fields: 5 of 68
- Computer Networks and Communications 114
- Computer Vision and Pattern Recognition 95
- Mechanical Engineering 85
- Control and Systems Engineering 54
- Aerospace Engineering 48
Countries citing papers authored by Jacques Penders
This map shows the geographic impact of Jacques Penders'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 Jacques Penders with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacques Penders more than expected).
Fields of papers citing papers by Jacques Penders
This network shows the impact of papers produced by Jacques Penders. 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 Jacques Penders. The network helps show where Jacques Penders may publish in the future.
Co-authorship network of co-authors of Jacques Penders
This figure shows the co-authorship network connecting the top 25 collaborators of Jacques Penders. A scholar is included among the top collaborators of Jacques Penders 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 Jacques Penders. Jacques Penders is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 2 | |
| 3 | 4 | |
| 4 | 16 | |
| 5 | Following a Robot using a Haptic Interface without Visual Feedback | 8 |
| 6 | 2 | |
| 7 | Enhancing trust and confidence in human robot interaction | 3 |
| 8 | Towards human technology symbiosis in the haptic mode | 4 |
| 9 | 2 | |
| 10 | 4 | |
| 11 | GUARDIANS final report | 1 |
| 12 | 1 | |
| 13 | 72 | |
| 14 | 10 | |
| 15 | 20 | |
| 16 | Ad-hoc Network Communication Infrastructure for Multi-robot Systems in Disaster Scenarios | 26 |
| 17 | Modelling interaction patterns and group behaviour in a three-robot team | 5 |
| 18 | 2 | |
| 19 | Interaction Congenial Autonomous Robots | 2 |
| 20 | Error Recovery in a Robot System | 2 |
About Jacques Penders
Jacques Penders is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 38 papers that have together received 299 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (14 papers), Distributed Control Multi-Agent Systems (9 papers) and Tactile and Sensory Interactions (8 papers). The work is most often cited by research in Human-Computer Interaction (40 citations), Computer Networks and Communications (114 citations) and Computer Vision and Pattern Recognition (95 citations). Jacques Penders has collaborated with scholars based in United Kingdom, Spain and Netherlands. Frequent co-authors include Lyuba Alboul, Joan Sàez-Pons, Ulf Witkowski, Veysel Gazi, Peter E. Jones, Prokar Dasgupta, Kaspar Althoefer, Thrishantha Nanayakkara, Thomas Bamber and Marcos Rodrigues. Their work appears in journals such as Applied Physics Letters, IEEE Transactions on Cybernetics and Lecture notes in computer science.
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.