C.A. Segall

1.0k total citations · 1 hit paper
22 papers, 729 citations indexed

About

C.A. Segall is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computational Mechanics. According to data from OpenAlex, C.A. Segall has authored 22 papers receiving a total of 729 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 5 papers in Signal Processing and 5 papers in Computational Mechanics. Recurrent topics in C.A. Segall's work include Image and Signal Denoising Methods (17 papers), Advanced Image Processing Techniques (13 papers) and Advanced Vision and Imaging (11 papers). C.A. Segall is often cited by papers focused on Image and Signal Denoising Methods (17 papers), Advanced Image Processing Techniques (13 papers) and Advanced Vision and Imaging (11 papers). C.A. Segall collaborates with scholars based in United States, Spain and South Korea. C.A. Segall's co-authors include Gary J. Sullivan, Aggelos K. Katsaggelos, Rafael Molina, Jill M. Boyce, Anthony Vetro, Jens-Rainer Ohm, Ying Chen, Javier Mateos, Scott T. Acton and Moon Gi Kang and has published in prestigious journals such as IEEE Transactions on Image Processing, Pattern Recognition and IEEE Signal Processing Magazine.

In The Last Decade

C.A. Segall

21 papers receiving 670 citations

Hit Papers

Standardized Extensions of High Efficiency Video Coding (... 2013 2026 2017 2021 2013 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
C.A. Segall United States 11 690 388 136 36 31 22 729
Kemal Uǧur Finland 12 1.2k 1.7× 1.1k 2.7× 50 0.4× 13 0.4× 33 1.1× 46 1.2k
Chao‐Chung Cheng Taiwan 13 467 0.7× 232 0.6× 119 0.9× 6 0.2× 33 1.1× 25 500
Karsten Mueller Germany 9 592 0.9× 390 1.0× 66 0.5× 22 0.6× 30 1.0× 23 632
Mei-Yin Shen United States 8 381 0.6× 206 0.5× 32 0.2× 16 0.4× 18 0.6× 28 405
Tobias Hinz Germany 11 692 1.0× 600 1.5× 33 0.2× 11 0.3× 33 1.1× 23 733
Davis Pan United States 4 272 0.4× 156 0.4× 45 0.3× 37 1.0× 23 0.7× 7 342
Martin Winken Germany 11 673 1.0× 586 1.5× 37 0.3× 11 0.3× 14 0.5× 23 692
A. Fuldseth Norway 8 698 1.0× 601 1.5× 24 0.2× 23 0.6× 78 2.5× 23 758
Christian Bartnik Germany 8 546 0.8× 473 1.2× 29 0.2× 9 0.3× 24 0.8× 11 578
Xiaozhong Xu China 12 465 0.7× 363 0.9× 31 0.2× 61 1.7× 17 0.5× 58 541

Countries citing papers authored by C.A. Segall

Since Specialization
Citations

This map shows the geographic impact of C.A. Segall'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 C.A. Segall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C.A. Segall more than expected).

Fields of papers citing papers by C.A. Segall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C.A. Segall. 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 C.A. Segall. The network helps show where C.A. Segall may publish in the future.

Co-authorship network of co-authors of C.A. Segall

This figure shows the co-authorship network connecting the top 25 collaborators of C.A. Segall. A scholar is included among the top collaborators of C.A. Segall 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 C.A. Segall. C.A. Segall 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.
François, Édouard, C.A. Segall, Alexis M. Tourapis, Peng Yin, & Dmytro Rusanovskyy. (2019). High Dynamic Range Video Coding Technology in Responses to the Joint Call for Proposals on Video Compression With Capability Beyond HEVC. IEEE Transactions on Circuits and Systems for Video Technology. 30(5). 1253–1266. 13 indexed citations
2.
Sullivan, Gary J., Jill M. Boyce, Ying Chen, et al.. (2013). Standardized Extensions of High Efficiency Video Coding (HEVC). IEEE Journal of Selected Topics in Signal Processing. 7(6). 1001–1016. 282 indexed citations breakdown →
3.
Oh, Byung Tae, Yeping Su, C.A. Segall, & C.‐C. Jay Kuo. (2011). Synthesis-Based Texture Video Coding With Side Information. IEEE Transactions on Circuits and Systems for Video Technology. 21(5). 647–659. 3 indexed citations
4.
Segall, C.A. & Gary J. Sullivan. (2007). Spatial Scalability Within the H.264/AVC Scalable Video Coding Extension. IEEE Transactions on Circuits and Systems for Video Technology. 17(9). 1121–1135. 128 indexed citations
5.
Park, Seong Chan, Moon Gi Kang, C.A. Segall, & Aggelos K. Katsaggelos. (2004). Spatially Adaptive High-Resolution Image Reconstruction of DCT-Based Compressed Images. IEEE Transactions on Image Processing. 13(4). 573–585. 17 indexed citations
6.
Segall, C.A., Aggelos K. Katsaggelos, Rafael Molina, & Javier Mateos. (2004). Bayesian Resolution Enhancement of Compressed Video. IEEE Transactions on Image Processing. 13(7). 898–911. 80 indexed citations
7.
Segall, C.A.. (2004). Approaches for the restoration of compressed video. 3. II–977. 1 indexed citations
8.
Kang, Moon Gi, et al.. (2003). Spatially adaptive high-resolution image reconstruction of low-resolution DCT-based compressed images. Proceedings - International Conference on Image Processing. 2. II–861. 8 indexed citations
9.
Segall, C.A., Rafael Molina, & Aggelos K. Katsaggelos. (2003). High-resolution images from low-resolution compressed video. IEEE Signal Processing Magazine. 20(3). 37–48. 70 indexed citations
10.
Segall, C.A. & Aggelos K. Katsaggelos. (2002). Pre- and post-processing algorithms for compressed video enhancement. 2. 1369–1373. 16 indexed citations
11.
Segall, C.A., Rafael Molina, Aggelos K. Katsaggelos, & Javier Mateos. (2002). Reconstruction of high-resolution image frames from a sequence of low-resolution and compressed observations. IEEE International Conference on Acoustics Speech and Signal Processing. II–1701. 9 indexed citations
12.
Segall, C.A. & Aggelos K. Katsaggelos. (2002). A new constraint for the regularized enhancement of compressed video. 3. 1849–1852.
13.
Segall, C.A., Wei Chen, & Scott T. Acton. (2002). Nonlinear pyramids for object identification. 1004–1008. 1 indexed citations
14.
Kang, Moon Gi, et al.. (2002). High-resolution image reconstruction of low-resolution DCT-based compressed images. IEEE International Conference on Acoustics Speech and Signal Processing. II–1665. 5 indexed citations
15.
Segall, C.A. & Scott T. Acton. (2002). Morphological anisotropic diffusion. 3. 348–351. 18 indexed citations
16.
Segall, C.A., et al.. (2000). <title>Preprocessing of compressed digital video</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4310. 163–174. 11 indexed citations
17.
Segall, C.A. & Aggelos K. Katsaggelos. (2000). Enhancement of compressed video using visual quality measurements. 2. 645–648 vol.2. 6 indexed citations
18.
19.
Segall, C.A.. (1999). Video tracking using morphological pyramids. Journal of Electronic Imaging. 8(2). 176–176. 5 indexed citations
20.
Segall, C.A., Scott T. Acton, & Aggelos K. Katsaggelos. (1998). <title>Sampling conditions for anisotropic diffusion</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3653. 160–171. 1 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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