Tony J. Dodd
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- Control Systems and Identification 12
- Fault Detection and Control Systems 5
- Biomedical Engineering top 10%
- Soft Robotics and Applications 6
- Mechanical Engineering top 5%
- Modular Robots and Swarm Intelligence 8
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- Robotic Path Planning Algorithms 7
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- Neural Networks and Applications 9
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- Robotics and Sensor-Based Localization 9
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- Structural Health Monitoring Techniques 7
- Co-authors
- J.O. GrayThomas OhlssonRoderich GroßS. DavisAnders PetterssonUriel Martínez-HernándezTony J. PrescottMelvin Gauci
- Partner nations
- United KingdomItalySweden
In The Last Decade
Tony J. Dodd
73 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 99
- Control and Systems Engineering 461
- Biomedical Engineering 464
- Mechanical Engineering 362
- Computational Theory and Mathematics 133
- Computer Vision and Pattern Recognition 151
Countries citing papers authored by Tony J. Dodd
This map shows the geographic impact of Tony J. Dodd'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 J. Dodd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tony J. Dodd more than expected).
Fields of papers citing papers by Tony J. Dodd
This network shows the impact of papers produced by Tony J. Dodd. 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 J. Dodd. The network helps show where Tony J. Dodd may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tony J. Dodd, 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 | 2020 | 5 | |
| 2 | 2019 | 2 | |
| 3 | 2017 | 3 | |
| 4 | 2017 | 12 | |
| 5 | 2016 | 58 | |
| 6 | 2014 | 32 | |
| 7 | 2014 | 28 | |
| 8 | 2013 | 30 | |
| 9 | 2010 | 58 | |
| 10 | 2010 | 0 | |
| 11 | 2009 | 10 | |
| 12 | 2005 | 3 | |
| 13 | Computing : the technology of information | 2003 | 1 |
| 14 | Improving speaker identification by trainable data fusion and subband processing techniques | 2002 | 1 |
| 15 | Gradient descent approach to approximation in reproducing kernel Hilbert spaces | 2002 | 2 |
| 16 | Some Lemmas on Reproducing Kernel Hilbert Spaces | 2002 | 1 |
| 17 | 2002 | 18 | |
| 18 | 1998 | 52 | |
| 19 | Logic programming: expanding the horizons | 1991 | 4 |
| 20 | 1982 | 41 |
About Tony J. Dodd
Tony J. Dodd is a scholar working on Control and Systems Engineering, Artificial Intelligence and Computational Theory and Mathematics, having authored 78 papers that have together received 1.4k indexed citations. Recurring topics across this work include Control Systems and Identification (12 papers), Neural Networks and Applications (9 papers), Robotics and Sensor-Based Localization (9 papers), Modular Robots and Swarm Intelligence (8 papers), Structural Health Monitoring Techniques (7 papers), Robotic Path Planning Algorithms (7 papers), Soft Robotics and Applications (6 papers) and Fault Detection and Control Systems (5 papers). The work is most often cited by research in Control and Systems Engineering (461 citations), Biomedical Engineering (464 citations) and Mechanical Engineering (362 citations). Tony J. Dodd has collaborated with scholars based in United Kingdom, Italy and Sweden. Frequent co-authors include J.O. Gray, Thomas Ohlsson, Roderich Groß, S. Davis, Anders Pettersson, Uriel Martínez-Hernández, Tony J. Prescott, Melvin Gauci, Sean Anderson and Nathan F. Lepora. Their work appears in journals such as IEEE Transactions on Automatic Control, IEEE Access and Sensors.
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.