David Bull
- Hardware and Architecture top 2%
- Parallel Computing and Optimization Techniques 6
- Media Technology top 2%
- Advanced Image Fusion Techniques 3
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- Open Education and E-Learning 8
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- Image and Signal Denoising Methods 5
- Signal Processing top 5%
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- Low-power high-performance VLSI design 11
- Radiation Effects in Electronics 4
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- Higher Education Learning Practices 8
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- Policing Practices and Perceptions 4
- Co-authors
- Shidhartha DasC.N. CanagarajahNishan CanagarajahDavid BlaauwAndrew NixNedeljko CvejicGanesh DasikaKrisztián Flautner
- Journals
- IEEE Journal of Solid-State Circuits (2 papers)IEEE Sensors Journal (1 paper)Journal of the American Veterinary Medical Association (1 paper)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
David Bull
44 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 110
- Hardware and Architecture 265
- Media Technology 179
- Computer Science Applications 87
- Computer Vision and Pattern Recognition 251
- Signal Processing 128
Countries citing papers authored by David Bull
This map shows the geographic impact of David Bull'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 Bull with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Bull more than expected).
Fields of papers citing papers by David Bull
This network shows the impact of papers produced by David Bull. 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 Bull. The network helps show where David Bull may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David Bull, 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 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2022 | 1 | |
| 4 | 2016 | 16 | |
| 5 | 2015 | 35 | |
| 6 | 2014 | 9 | |
| 7 | 2013 | 4 | |
| 8 | 2012 | 8 | |
| 9 | 2011 | 5 | |
| 10 | 2008 | 10 | |
| 11 | 2007 | 156 | |
| 12 | IEEE 13th Workshop on Statistical Signal Processing 2005, Bordeaux, France | 2005 | 1 |
| 13 | 2000 | 1 | |
| 14 | Proceedings of the Vehicular Technology Conference | 2000 | 57 |
| 15 | Proceedings of IEEE International Conference on Consumer Electronics (ICCE) | 2000 | 99 |
| 16 | First IEE/IEEE International Conference on Genetic Algorithms in Engineering Systems: Innovations and Applications (Galasia 95) Sheffield UK | 1996 | 1 |
| 17 | 1995 | 10 | |
| 18 | 1994 | 7 | |
| 19 | 1985 | 4 | |
| 20 | Action for welfare rights | 1970 | 2 |
About David Bull
David Bull is a scholar working on Computer Science Applications, Hardware and Architecture and Media Technology, having authored 50 papers that have together received 1.2k indexed citations. Recurring topics across this work include Low-power high-performance VLSI design (11 papers), Higher Education Learning Practices (8 papers), Open Education and E-Learning (8 papers), Parallel Computing and Optimization Techniques (6 papers), Image and Signal Denoising Methods (5 papers), Policing Practices and Perceptions (4 papers), Radiation Effects in Electronics (4 papers) and Advanced Image Fusion Techniques (3 papers). The work is most often cited by research in Hardware and Architecture (265 citations), Media Technology (179 citations) and Computer Science Applications (87 citations). David Bull has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Shidhartha Das, C.N. Canagarajah, Nishan Canagarajah, David Blaauw, Andrew Nix, Nedeljko Cvejic, Ganesh Dasika, Krisztián Flautner, Carlos Tokunaga and Kevin Lai. Their work appears in journals such as IEEE Journal of Solid-State Circuits, IEEE Sensors Journal and Journal of the American Veterinary Medical Association.
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.