Tony Pipe
Impact in
- Human-Computer Interaction top 2%
- Cognitive Neuroscience top 5%
- Tactile and Sensory Interactions
- Neural dynamics and brain function
Papers in ⓘ
-
- Evolutionary Algorithms and Applications 27
- Fuzzy Logic and Control Systems 17
- Metaheuristic Optimization Algorithms Research 13
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- Robot Manipulation and Learning 26
- Co-authors
- Chris Melhuish (39 shared papers)Martin J. Pearson (19 shared papers)Ben Mitchinson (12 shared papers)Tony J. Prescott (12 shared papers)Guido Herrmann (6 shared papers)Said Ghani Khan (6 shared papers)Jonathan Rossiter (5 shared papers)Charles Sullivan (6 shared papers)
- Journals
- Robotics and Autonomous Systems (4 papers)IEEE Robotics and Automation Letters (3 papers)International Journal of Intelligent Systems (2 papers)Autonomous Robots (2 papers)Adaptive Behavior (2 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Tony Pipe
151 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 139
- Human-Computer Interaction 173
- Cognitive Neuroscience 608
- Control and Systems Engineering 673
- Biomedical Engineering 717
- Artificial Intelligence 489
Countries citing papers authored by Tony Pipe
This map shows the geographic impact of Tony Pipe'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 Tony Pipe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tony Pipe more than expected).
Fields of papers citing papers by Tony Pipe
This network shows the impact of papers produced by Tony Pipe. 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 Tony Pipe. The network helps show where Tony Pipe may publish in the future.
Co-authors
The 25 scholars most cited alongside Tony Pipe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 159 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 165 | |
| 2 | 2009 | 105 | |
| 3 | Development of a tactile sensor based on biologically inspired edge encoding | 2009 | 104 |
| 4 | 2013 | 93 | |
| 5 | 2007 | 92 | |
| 6 | Biomimetics: Nature-Based Innovation | 2011 | 91 |
| 7 | 2009 | 82 | |
| 8 | 2011 | 75 | |
| 9 | 2013 | 57 | |
| 10 | 2007 | 56 | |
| 11 | 2004 | 53 | |
| 12 | 2010 | 45 | |
| 13 | 2009 | 41 | |
| 14 | 2013 | 39 | |
| 15 | 2009 | 38 | |
| 16 | 2014 | 37 | |
| 17 | 2010 | 35 | |
| 18 | 2012 | 35 | |
| 19 | 2010 | 34 | |
| 20 | 2012 | 34 |
About Tony Pipe
Tony Pipe is a scholar working on Artificial Intelligence, Control and Systems Engineering, Biomedical Engineering, Mechanical Engineering and Cognitive Neuroscience, having authored 159 papers that have together received 2.4k indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (27 papers), Robot Manipulation and Learning (26 papers), Modular Robots and Swarm Intelligence (21 papers), Fuzzy Logic and Control Systems (17 papers), Social Robot Interaction and HRI (16 papers), Soft Robotics and Applications (16 papers), Neural dynamics and brain function (13 papers) and Metaheuristic Optimization Algorithms Research (13 papers). The work is most often cited by research in Human-Computer Interaction (173 citations), Cognitive Neuroscience (608 citations), Control and Systems Engineering (673 citations), Biomedical Engineering (717 citations) and Artificial Intelligence (489 citations). Tony Pipe has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Chris Melhuish, Martin J. Pearson, Ben Mitchinson, Tony J. Prescott, Guido Herrmann, Said Ghani Khan, Jonathan Rossiter, Charles Sullivan, Paul Bremner and Frank L. Lewis. Their work appears in journals such as Robotics and Autonomous Systems, IEEE Robotics and Automation Letters, International Journal of Intelligent Systems, Autonomous Robots and Adaptive Behavior.
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.