Nick Hawes
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 2%
- Control and Systems Engineering top 5%
- Aerospace Engineering top 10%
- Computer Networks and Communications top 10%
- Co-authors
- Bruno LacerdaJeremy WyattDavid ParkerMarc HanheideLars KunzePatric JensfeltGeert-Jan M. KruijffHendrik Zender
- Topics
- AI-based Problem Solving and Planning (31 papers)Reinforcement Learning in Robotics (20 papers)Robotic Path Planning Algorithms (19 papers)
- Journals
- Philosophical Transactions of the Royal Society B Biological SciencesJournal of EcologyArtificial Intelligence
- Partner nations
- United KingdomGermanySweden
In The Last Decade
Nick Hawes
93 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 90
- Artificial Intelligence 610
- Computer Vision and Pattern Recognition 419
- Control and Systems Engineering 234
- Aerospace Engineering 168
- Computer Networks and Communications 136
Countries citing papers authored by Nick Hawes
This map shows the geographic impact of Nick Hawes'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 Nick Hawes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nick Hawes more than expected).
Fields of papers citing papers by Nick Hawes
This network shows the impact of papers produced by Nick Hawes. 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 Nick Hawes. The network helps show where Nick Hawes may publish in the future.
Co-authorship network of co-authors of Nick Hawes
This figure shows the co-authorship network connecting the top 25 collaborators of Nick Hawes. A scholar is included among the top collaborators of Nick Hawes 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 Nick Hawes. Nick Hawes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 29 | |
| 11 | 14 | |
| 12 | 1 | |
| 13 | 18 | |
| 14 | 42 | |
| 15 | Human-Initiative Variable Autonomy: An Experimental Analysis of the Interactions Between a Human Operator and a Remotely Operated Mobile Robot which also Possesses Autonomous Capabilities. | 5 |
| 16 | Optimal policy generation for partially satisfiable co-safe LTL specifications | 24 |
| 17 | Bootstrapping Probabilistic Models of Qualitative Spatial Relations for Active Visual Object Search. | 10 |
| 18 | Predicting Situated Behaviour Using Sequences of Abstract Spatial Relations. | 6 |
| 19 | 14 | |
| 20 | 30 |
About Nick Hawes
Nick Hawes is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Hardware and Architecture, having authored 103 papers that have together received 1.2k indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (31 papers), Reinforcement Learning in Robotics (20 papers) and Robotic Path Planning Algorithms (19 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (419 citations), Artificial Intelligence (610 citations) and Software (59 citations). Nick Hawes has collaborated with scholars based in United Kingdom, Germany and Sweden. Frequent co-authors include Bruno Lacerda, Jeremy Wyatt, David Parker, Marc Hanheide, Lars Kunze, Patric Jensfelt, Geert-Jan M. Kruijff, Hendrik Zender, Jay Young and Rustam Stolkin. Their work appears in journals such as Philosophical Transactions of the Royal Society B Biological Sciences, Journal of Ecology and Artificial Intelligence.
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.