David Mulvaney
Impact in
-
- Robotic Path Planning Algorithms
- Signal Processing top 10%
- Speech and Audio Processing
- Video Coding and Compression Technologies
Papers in
-
- Robotic Path Planning Algorithms 7
-
- Evolutionary Algorithms and Applications 9
- Neural Networks and Applications 6
- Metaheuristic Optimization Algorithms Research 6
- Co-authors
- Pierre‐André Cazenave (1 shared paper)Max D. Cooper (1 shared paper)António Coutinho (1 shared paper)Mohd Zamri Ibrahim (7 shared papers)V.A. Chouliaras (9 shared papers)A. L. Vyas (7 shared papers)K. F. Gill (4 shared papers)Omar Farooq (7 shared papers)
- Journals
- Wear (2 papers)Journal of Intelligent & Robotic Systems (2 papers)Sensors (2 papers)IEEE Transactions on Consumer Electronics (2 papers)Robotica (1 paper)
- Partner nations
- United KingdomIndiaMalaysia
In The Last Decade
David Mulvaney
58 papers receiving 475 citations
Peers
Comparison fields: 5 of 85
- Computer Vision and Pattern Recognition 169
- Signal Processing 85
- Hardware and Architecture 33
- Immunology 59
- Computer Networks and Communications 68
Countries citing papers authored by David Mulvaney
This map shows the geographic impact of David Mulvaney'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 David Mulvaney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Mulvaney more than expected).
Fields of papers citing papers by David Mulvaney
This network shows the impact of papers produced by David Mulvaney. 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 David Mulvaney. The network helps show where David Mulvaney may publish in the future.
Co-authors
The 25 scholars most cited alongside David Mulvaney, 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1986 | 87 | |
| 2 | 2007 | 24 | |
| 3 | 2008 | 22 | |
| 4 | 2006 | 19 | |
| 5 | 2015 | 18 | |
| 6 | 2006 | 18 | |
| 7 | 2018 | 16 | |
| 8 | 2011 | 15 | |
| 9 | 1989 | 14 | |
| 10 | 2007 | 14 | |
| 11 | 2011 | 13 | |
| 12 | 2011 | 13 | |
| 13 | 2006 | 13 | |
| 14 | 2012 | 11 | |
| 15 | 2005 | 11 | |
| 16 | 2006 | 10 | |
| 17 | 1999 | 10 | |
| 18 | 2012 | 9 | |
| 19 | 1999 | 9 | |
| 20 | 2004 | 9 |
About David Mulvaney
David Mulvaney is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Computer Networks and Communications and Hardware and Architecture, having authored 62 papers that have together received 505 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (9 papers), Embedded Systems Design Techniques (8 papers), Robotic Path Planning Algorithms (7 papers), Speech and Audio Processing (7 papers), Neural Networks and Applications (6 papers), Metaheuristic Optimization Algorithms Research (6 papers), Parallel Computing and Optimization Techniques (6 papers) and Wireless Body Area Networks (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (169 citations), Signal Processing (85 citations), Hardware and Architecture (33 citations), Immunology (59 citations) and Computer Networks and Communications (68 citations). David Mulvaney has collaborated with scholars based in United Kingdom, India and Malaysia. Frequent co-authors include Pierre‐André Cazenave, Max D. Cooper, António Coutinho, Mohd Zamri Ibrahim, V.A. Chouliaras, A. L. Vyas, K. F. Gill, Omar Farooq, David E. Newland and Yang Wang. Their work appears in journals such as Wear, Journal of Intelligent & Robotic Systems, Sensors, IEEE Transactions on Consumer Electronics and Robotica.
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.