Todd A. Ell
- Computer Vision and Pattern Recognition top 1%
- Applied Mathematics top 1%
- Signal Processing top 2%
- Media Technology top 2%
- Computational Mechanics top 10%
- Co-authors
- Stephen J. SangwineNicolas Le BihanHeinz G. GöcklerC J EvansC. EvansNele De SchepperHendrik De Bie
- Topics
- Image and Signal Denoising Methods (17 papers)Advanced Vision and Imaging (8 papers)Advanced Image Fusion Techniques (8 papers)
- Journals
- IEEE Transactions on Image ProcessingIEEE Transactions on Signal ProcessingSignal Processing
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Todd A. Ell
27 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 69
- Computer Vision and Pattern Recognition 849
- Applied Mathematics 519
- Signal Processing 302
- Media Technology 243
- Computational Mechanics 108
Countries citing papers authored by Todd A. Ell
This map shows the geographic impact of Todd A. Ell'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 Todd A. Ell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Todd A. Ell more than expected).
Fields of papers citing papers by Todd A. Ell
This network shows the impact of papers produced by Todd A. Ell. 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 Todd A. Ell. The network helps show where Todd A. Ell may publish in the future.
Co-authorship network of co-authors of Todd A. Ell
This figure shows the co-authorship network connecting the top 25 collaborators of Todd A. Ell. A scholar is included among the top collaborators of Todd A. Ell 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 Todd A. Ell. Todd A. Ell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 36 | |
| 3 | 88 | |
| 4 | 38 | |
| 5 | 5 | |
| 6 | Hypercomplex Fourier Transforms of Color Imagesbreakdown → | 438 |
| 7 | 3 | |
| 8 | 4 | |
| 9 | 23 | |
| 10 | 150 | |
| 11 | 1 | |
| 12 | 160 | |
| 13 | 6 | |
| 14 | 30 | |
| 15 | 13 | |
| 16 | 5 | |
| 17 | 63 | |
| 18 | Colour-sensitive edge detection using hypercomplex filters | 27 |
| 19 | Decomposition of 2D Hypercomplex Fourier transforms into pairs of complex fourier transforms | 34 |
| 20 | 29 |
About Todd A. Ell
Todd A. Ell is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Applied Mathematics, having authored 27 papers that have together received 1.4k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (17 papers), Advanced Vision and Imaging (8 papers) and Advanced Image Fusion Techniques (8 papers). The work is most often cited by research in Applied Mathematics (519 citations), Computer Vision and Pattern Recognition (849 citations) and Signal Processing (302 citations). Todd A. Ell has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Stephen J. Sangwine, Nicolas Le Bihan, Heinz G. Göckler, C J Evans, C. Evans, Nele De Schepper and Hendrik De Bie. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Signal Processing and Signal Processing.
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.