Trevor J. Terrell
- Signal Processing top 10%
- Digital Filter Design and Implementation 6
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- Image and Signal Denoising Methods 8
- Advanced Data Compression Techniques 6
- Image and Object Detection Techniques 4
- Medical Image Segmentation Techniques 3
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- Neural Networks and Applications 7
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- Sensor Technology and Measurement Systems 5
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- Analog and Mixed-Signal Circuit Design 3
- Co-authors
- Lik‐Kwan SharkM.R. VarleyGuoping QiuGraham L. HallJohn M. SeniorArthur PewseyGuowei HongG. Hall
- Partner nations
- United KingdomUnited StatesHong Kong
In The Last Decade
Trevor J. Terrell
29 papers receiving 271 citations
Peers
Comparison fields: 5 of 76
- Signal Processing 101
- Computer Vision and Pattern Recognition 103
- Hardware and Architecture 19
- Artificial Intelligence 66
- Computational Theory and Mathematics 31
Countries citing papers authored by Trevor J. Terrell
This map shows the geographic impact of Trevor J. Terrell'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 Trevor J. Terrell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Trevor J. Terrell more than expected).
Fields of papers citing papers by Trevor J. Terrell
This network shows the impact of papers produced by Trevor J. Terrell. 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 Trevor J. Terrell. The network helps show where Trevor J. Terrell may publish in the future.
Co-authorship network
The 8 scholars most cited alongside Trevor J. Terrell, 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 | 2002 | 2 | |
| 2 | 2000 | 5 | |
| 3 | 1996 | 8 | |
| 4 | 1996 | 13 | |
| 5 | 1994 | 2 | |
| 6 | Variable bit rate block truncation coding for image compression using Hopfield neural networks | 1993 | 3 |
| 7 | 1993 | 14 | |
| 8 | 1991 | 2 | |
| 9 | 1991 | 6 | |
| 10 | A new fast discrete Radon transform for enhancing linear features in noisy images | 1989 | 5 |
| 11 | 1989 | 1 | |
| 12 | 1988 | 1 | |
| 13 | 1988 | 7 | |
| 14 | 1988 | 10 | |
| 15 | 1987 | 2 | |
| 16 | 1986 | 30 | |
| 17 | 1981 | 1 | |
| 18 | 1979 | 1 | |
| 19 | 1977 | 0 | |
| 20 | THE UMIST DIGITAL TRAFFIC SIMULATOR | 1974 | 0 |
About Trevor J. Terrell
Trevor J. Terrell is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Media Technology, having authored 33 papers that have together received 304 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (8 papers), Neural Networks and Applications (7 papers), Advanced Data Compression Techniques (6 papers), Digital Filter Design and Implementation (6 papers), Sensor Technology and Measurement Systems (5 papers), Image and Object Detection Techniques (4 papers), Medical Image Segmentation Techniques (3 papers) and Analog and Mixed-Signal Circuit Design (3 papers). The work is most often cited by research in Signal Processing (101 citations), Computer Vision and Pattern Recognition (103 citations) and Hardware and Architecture (19 citations). Trevor J. Terrell has collaborated with scholars based in United Kingdom, United States and Hong Kong. Frequent co-authors include Lik‐Kwan Shark, M.R. Varley, Guoping Qiu, Graham L. Hall, John M. Senior, Arthur Pewsey, Guowei Hong and G. Hall.
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.