David P. Towers
- Computer Vision and Pattern Recognition top 1%
- Mechanical Engineering top 5%
- Media Technology top 0.5%
- Electrical and Electronic Engineering top 10%
- Computational Mechanics top 5%
- Co-authors
- Catherine E. TowersJ.D.C. JonesZonghua ZhangKonstantinos FalaggisClive BuckberryN. Angarita-JaimesPhilip J. McCallJ Parker
- Topics
- Optical measurement and interference techniques (44 papers)Image Processing Techniques and Applications (23 papers)Advanced Measurement and Metrology Techniques (21 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsOptics Letters
- Partner nations
- United KingdomChinaTanzania
In The Last Decade
David P. Towers
86 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 101
- Computer Vision and Pattern Recognition 1.1k
- Mechanical Engineering 493
- Media Technology 447
- Electrical and Electronic Engineering 423
- Computational Mechanics 356
Countries citing papers authored by David P. Towers
This map shows the geographic impact of David P. Towers'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 P. Towers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David P. Towers more than expected).
Fields of papers citing papers by David P. Towers
This network shows the impact of papers produced by David P. Towers. 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 P. Towers. The network helps show where David P. Towers may publish in the future.
Co-authorship network of co-authors of David P. Towers
This figure shows the co-authorship network connecting the top 25 collaborators of David P. Towers. A scholar is included among the top collaborators of David P. Towers based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David P. Towers. David P. Towers is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 7 | |
| 6 | 9 | |
| 7 | 13 | |
| 8 | 22 | |
| 9 | 7 | |
| 10 | 25 | |
| 11 | 22 | |
| 12 | 36 | |
| 13 | 58 | |
| 14 | 74 | |
| 15 | 23 | |
| 16 | 22 | |
| 17 | Preliminary approach towards a CDI system modification operating on neat rapeseed oil | 4 |
| 18 | Effect of fuel temperature and ambient pressure on a common rail rapeseed oil spray | 11 |
| 19 | 50 | |
| 20 | 12 |
About David P. Towers
David P. Towers is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 89 papers that have together received 1.9k indexed citations. Recurring topics across this work include Optical measurement and interference techniques (44 papers), Image Processing Techniques and Applications (23 papers) and Advanced Measurement and Metrology Techniques (21 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Media Technology (447 citations) and Geology (136 citations). David P. Towers has collaborated with scholars based in United Kingdom, China and Tanzania. Frequent co-authors include Catherine E. Towers, J.D.C. Jones, Zonghua Zhang, Konstantinos Falaggis, Clive Buckberry, N. Angarita-Jaimes, Philip J. McCall, J Parker, A. H. Greenaway and Mayumi Abé. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Optics Letters.
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.