Nick Hawes

2.5k total citations
103 papers, 1.2k citations indexed

About

Nick Hawes is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Nick Hawes has authored 103 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Artificial Intelligence, 31 papers in Computer Vision and Pattern Recognition and 18 papers in Computer Networks and Communications. Recurrent topics in Nick Hawes's work include AI-based Problem Solving and Planning (31 papers), Reinforcement Learning in Robotics (20 papers) and Robotic Path Planning Algorithms (19 papers). Nick Hawes is often cited by papers focused on AI-based Problem Solving and Planning (31 papers), Reinforcement Learning in Robotics (20 papers) and Robotic Path Planning Algorithms (19 papers). Nick Hawes collaborates with scholars based in United Kingdom, Germany and Sweden. Nick Hawes's 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 and has published in prestigious journals such as Philosophical Transactions of the Royal Society B Biological Sciences, Journal of Ecology and Artificial Intelligence.

In The Last Decade

Nick Hawes

93 papers receiving 1.1k citations

Peers

Nick Hawes
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
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Citations per field, relative to Nick Hawes
Nick Hawes · 1×
Citations per year, relative to Nick Hawes
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Countries citing papers authored by Nick Hawes

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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

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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