Todd A. Ell

2.2k total citations · 1 hit paper
27 papers, 1.4k citations indexed

About

Todd A. Ell is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Applied Mathematics. According to data from OpenAlex, Todd A. Ell has authored 27 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 9 papers in Media Technology and 9 papers in Applied Mathematics. Recurrent topics in Todd A. Ell's work include Image and Signal Denoising Methods (17 papers), Advanced Vision and Imaging (8 papers) and Advanced Image Fusion Techniques (8 papers). Todd A. Ell is often cited by papers focused on Image and Signal Denoising Methods (17 papers), Advanced Vision and Imaging (8 papers) and Advanced Image Fusion Techniques (8 papers). Todd A. Ell collaborates with scholars based in United Kingdom, United States and France. Todd A. Ell's co-authors include Stephen J. Sangwine, Nicolas Le Bihan, Heinz G. Göckler, C J Evans, C. Evans, Nele De Schepper and Hendrik De Bie and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Signal Processing and Signal Processing.

In The Last Decade

Todd A. Ell

27 papers receiving 1.3k citations

Hit Papers

Hypercomplex Fourier Transforms of Color Images 2006 2026 2012 2019 2006 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Hypercomplex Fourier Transforms of Color Images
    2006 438 citations Todd A. Ell, Stephen J. Sangwine IEEE Transactions on Image Processing profile →

Peers

Todd A. Ell
Stephen J. Sangwine United Kingdom
Kit Ian Kou Macao
Peter Massopust Germany
Bing‐Zhao Li China
Ingrid Daubechies United States
Jean-Christophe Feauveau France
Bradley J. Lucier United States
Nicolas Le Bihan France
Christopher Heil United States
Amina Chebira United States
Stephen J. Sangwine United Kingdom
Todd A. Ell
Citations per year, relative to Todd A. Ell Todd A. Ell (= 1×) peers Stephen J. Sangwine

Countries citing papers authored by Todd A. Ell

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Sangwine, Stephen J. & Todd A. Ell. (2012). Complex and hypercomplex discrete Fourier transforms based on matrix exponential form of Euler’s formula. Applied Mathematics and Computation. 219(2). 644–655. 4 indexed citations
2.
Sangwine, Stephen J., Todd A. Ell, & Nicolas Le Bihan. (2010). Fundamental Representations and Algebraic Properties of Biquaternions or Complexified Quaternions. Advances in Applied Clifford Algebras. 21(3). 607–636. 36 indexed citations
3.
Ell, Todd A. & Stephen J. Sangwine. (2007). Quaternion involutions and anti-involutions. Computers & Mathematics with Applications. 53(1). 137–143. 88 indexed citations
4.
Göckler, Heinz G., et al.. (2007). Hypercomplex Algebras In Digital Signal Processing: Benefits And Drawbacks. Zenodo (CERN European Organization for Nuclear Research). 1322–1326. 38 indexed citations
5.
Ell, Todd A.. (2007). Hypercomplex Color Affine Filters. V – 249. 5 indexed citations
6.
Ell, Todd A. & Stephen J. Sangwine. (2006). Hypercomplex Fourier Transforms of Color Images. IEEE Transactions on Image Processing. 16(1). 22–35. 438 indexed citations breakdown →
7.
Sangwine, Stephen J. & Todd A. Ell. (2004). Gray-centered RGB color space. Conference on Colour in Graphics Imaging and Vision. 2(1). 183–186. 3 indexed citations
8.
Ell, Todd A., et al.. (2004). Colour-Dependent Linear Vector Image Filtering. Zenodo (CERN European Organization for Nuclear Research). 585–588. 4 indexed citations
9.
Sangwine, Stephen J., et al.. (2003). Color-grayscale image registration using hypercomplex phase correlation. Proceedings - International Conference on Image Processing. 2. II–385. 23 indexed citations
10.
Sangwine, Stephen J., et al.. (2003). Hypercomplex correlation techniques for vector images. IEEE Transactions on Signal Processing. 51(7). 1941–1953. 150 indexed citations
11.
Sangwine, Stephen J. & Todd A. Ell. (2003). Vector zone plates as test patterns for linear vector filters. Proceedings - International Conference on Image Processing. 2. II–361. 1 indexed citations
12.
13.
Ell, Todd A., et al.. (2002). Vector Correlation of Color Images. Conference on Colour in Graphics Imaging and Vision. 1(1). 343–347. 6 indexed citations
14.
Evans, C J, Stephen J. Sangwine, & Todd A. Ell. (2002). Hypercomplex color-sensitive smoothing filters. 1. 541–544. 30 indexed citations
15.
Ell, Todd A., et al.. (2002). Hypercomplex Operators And Vector Correlation. Zenodo (CERN European Organization for Nuclear Research). 1–4. 13 indexed citations
16.
Sangwine, Stephen J., et al.. (2002). Linear Colour-Dependent Image Filtering Based On Vector Decomposition. Zenodo (CERN European Organization for Nuclear Research). 1–4. 5 indexed citations
17.
Sangwine, Stephen J. & Todd A. Ell. (2002). Hypercomplex Fourier transforms of color images. 1. 137–140. 63 indexed citations
18.
Evans, C., Stephen J. Sangwine, & Todd A. Ell. (2000). Colour-sensitive edge detection using hypercomplex filters. European Signal Processing Conference. 1–4. 27 indexed citations
19.
Ell, Todd A. & Stephen J. Sangwine. (2000). Decomposition of 2D Hypercomplex Fourier transforms into pairs of complex fourier transforms. European Signal Processing Conference. 1–4. 34 indexed citations
20.
Ell, Todd A. & Stephen J. Sangwine. (2000). Hypercomplex Wiener-Khintchine theorem with application to color image correlation. 792–795 vol.2. 29 indexed citations

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.

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