Greg Chance
Impact in
- Human-Computer Interaction top 10%
- Control and Systems Engineering top 10%
- Robot Manipulation and Learning
Papers in
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- Robot Manipulation and Learning 5
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- Stroke Rehabilitation and Recovery 3
- Co-authors
- Sanja Dogramadzi (8 shared papers)Praminda Caleb-Solly (6 shared papers)Aleksandar Jevtić (4 shared papers)Sumit Verma (1 shared paper)Yang Tang (1 shared paper)Carme Torras (2 shared papers)Guillem Alenyà (2 shared papers)Kerstin Eder (6 shared papers)
- Journals
- Communications of the ACM (1 paper)IEEE Transactions on Intelligent Transportation Systems (1 paper)IEEE Robotics and Automation Letters (1 paper)IEEE Transactions on Cognitive and Developmental Systems (1 paper)IEEE Wireless Communications (1 paper)
- Partner nations
- United KingdomSpainGermany
In The Last Decade
Greg Chance
18 papers receiving 337 citations
Peers
Comparison fields: 5 of 65
- Human-Computer Interaction 32
- Control and Systems Engineering 99
- Software 11
- Social Psychology 50
- Rehabilitation 13
Countries citing papers authored by Greg Chance
This map shows the geographic impact of Greg Chance'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 Greg Chance with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Greg Chance more than expected).
Fields of papers citing papers by Greg Chance
This network shows the impact of papers produced by Greg Chance. 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 Greg Chance. The network helps show where Greg Chance may publish in the future.
Co-authors
The 25 scholars most cited alongside Greg Chance, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 62 | |
| 2 | 2018 | 47 | |
| 3 | 2019 | 35 | |
| 4 | 2017 | 28 | |
| 5 | 2016 | 26 | |
| 6 | 2018 | 19 | |
| 7 | 2022 | 17 | |
| 8 | 2021 | 16 | |
| 9 | 2020 | 16 | |
| 10 | 2014 | 15 | |
| 11 | 2023 | 12 | |
| 12 | 2023 | 12 | |
| 13 | 2019 | 9 | |
| 14 | 2018 | 8 | |
| 15 | 2017 | 7 | |
| 16 | 2023 | 5 | |
| 17 | 2006 | 5 | |
| 18 | Safety Validation of Autonomous Vehicles using Assertion-based Oracles. | 2021 | 4 |
About Greg Chance
Greg Chance is a scholar working on Control and Systems Engineering, Rehabilitation, Social Psychology, Software and Cognitive Neuroscience, having authored 18 papers that have together received 343 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (5 papers), Radio Frequency Integrated Circuit Design (3 papers), Microwave Engineering and Waveguides (3 papers), Stroke Rehabilitation and Recovery (3 papers), Social Robot Interaction and HRI (3 papers), Safety Systems Engineering in Autonomy (2 papers), Muscle activation and electromyography studies (2 papers) and Autonomous Vehicle Technology and Safety (2 papers). The work is most often cited by research in Human-Computer Interaction (32 citations), Control and Systems Engineering (99 citations), Software (11 citations), Social Psychology (50 citations) and Rehabilitation (13 citations). Greg Chance has collaborated with scholars based in United Kingdom, Spain and Germany. Frequent co-authors include Sanja Dogramadzi, Praminda Caleb-Solly, Aleksandar Jevtić, Sumit Verma, Yang Tang, Carme Torras, Guillem Alenyà, Kerstin Eder, Tony Pipe and Séverin Lemaignan. Their work appears in journals such as Communications of the ACM, IEEE Transactions on Intelligent Transportation Systems, IEEE Robotics and Automation Letters, IEEE Transactions on Cognitive and Developmental Systems and IEEE Wireless Communications.
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.