Tomáš Suk

4.0k total citations · 2 hit papers
56 papers, 2.5k citations indexed

About

Tomáš Suk is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Aerospace Engineering. According to data from OpenAlex, Tomáš Suk has authored 56 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Computer Vision and Pattern Recognition, 8 papers in Media Technology and 6 papers in Aerospace Engineering. Recurrent topics in Tomáš Suk's work include Image Retrieval and Classification Techniques (27 papers), Medical Image Segmentation Techniques (19 papers) and Advanced Image and Video Retrieval Techniques (13 papers). Tomáš Suk is often cited by papers focused on Image Retrieval and Classification Techniques (27 papers), Medical Image Segmentation Techniques (19 papers) and Advanced Image and Video Retrieval Techniques (13 papers). Tomáš Suk collaborates with scholars based in Czechia, China and United States. Tomáš Suk's co-authors include Jan Flusser, Barbara Zitová, Hyoseop Woo, Petr Novotný, Stanislav Saic, Bo Yang, Kwon‐Ho Lee, Cyril Höschl, Basheera M. Mahmmod and Sadiq H. Abdulhussain and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

Tomáš Suk

52 papers receiving 2.3k citations

Hit Papers

Pattern recognition by affine moment invariants 1993 2026 2004 2015 1993 2009 100 200 300 400 500
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. Pattern recognition by affine moment invariants
    1993 531 citations Jan Flusser, Tomáš Suk Pattern Recognition profile →
  2. Moments and Moment Invariants in Pattern Recognition
    2009 441 citations Jan Flusser, Tomáš Suk et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tomáš Suk Czechia 21 1.9k 504 204 171 163 56 2.5k
Mark S. Drew Canada 28 2.9k 1.5× 620 1.2× 177 0.9× 242 1.4× 115 0.7× 150 3.7k
Haoqian Wang China 26 1.5k 0.8× 643 1.3× 307 1.5× 446 2.6× 185 1.1× 144 3.0k
Cheolkon Jung China 24 1.8k 1.0× 700 1.4× 157 0.8× 180 1.1× 125 0.8× 203 2.4k
Eli Saber United States 25 2.5k 1.3× 507 1.0× 158 0.8× 155 0.9× 40 0.2× 104 3.0k
Lingfeng Wang China 26 1.5k 0.8× 634 1.3× 112 0.5× 719 4.2× 155 1.0× 110 2.4k
Β.N. Chatterji India 22 2.4k 1.3× 651 1.3× 392 1.9× 361 2.1× 155 1.0× 104 3.4k
O.R. Mitchell United States 23 2.4k 1.3× 550 1.1× 356 1.7× 286 1.7× 106 0.7× 80 3.1k
Salvatore Tabbone France 19 1.2k 0.6× 311 0.6× 105 0.5× 217 1.3× 57 0.3× 81 1.6k
Chee Sun Won South Korea 22 1.5k 0.8× 363 0.7× 267 1.3× 209 1.2× 36 0.2× 124 2.1k
M.A. Abidi United States 26 1.6k 0.9× 450 0.9× 516 2.5× 134 0.8× 308 1.9× 101 2.3k

Countries citing papers authored by Tomáš Suk

Since Specialization
Citations

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

Fields of papers citing papers by Tomáš Suk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tomáš Suk. 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 Tomáš Suk. The network helps show where Tomáš Suk may publish in the future.

Co-authorship network of co-authors of Tomáš Suk

This figure shows the co-authorship network connecting the top 25 collaborators of Tomáš Suk. A scholar is included among the top collaborators of Tomáš Suk 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 Tomáš Suk. Tomáš Suk 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.
Suk, Tomáš, et al.. (2024). 3D Non-separable Moment Invariants and Their Use in Neural Networks. SN Computer Science. 5(8).
2.
Flusser, Jan, Tomáš Suk, & Barbara Zitová. (2021). Complete and Incomplete Sets of Invariants. Journal of Mathematical Imaging and Vision. 63(7). 917–922. 1 indexed citations
3.
Yang, Bo, Tomáš Suk, Jan Flusser, Zhongke Shi, & Xiaofeng Chen. (2017). Rotation invariants from Gaussian-Hermite moments of color images. Signal Processing. 143. 282–291. 11 indexed citations
4.
Yang, Bo, et al.. (2017). Recognition of patterns in vector fields by Gaussian-hermite invariants. ASEP. 6. 2359–2363. 4 indexed citations
5.
Yang, Bo, et al.. (2017). Rotation invariants of vector fields from orthogonal moments. Pattern Recognition. 74. 110–121. 19 indexed citations
6.
Flusser, Jan, Tomáš Suk, & Barbara Zitová. (2016). 2D and 3D Image Analysis by Moments. ASEP. 147 indexed citations
7.
Šimberová, Stanislava & Tomáš Suk. (2016). Dynamic process analysis by moments of extreme orders. Astronomy and Computing. 14. 43–51.
8.
Yang, Bo, Jan Flusser, & Tomáš Suk. (2015). Design of high-order rotation invariants from Gaussian–Hermite moments. Signal Processing. 113. 61–67. 20 indexed citations
9.
Šimberová, Stanislava & Tomáš Suk. (2015). Automated detection of meteors in observed image sequence. AIP conference proceedings. 1702. 190009–190009.
10.
Flusser, Jan, Tomáš Suk, & Barbara Zitová. (2013). On the recognition of wood slices by means of blur invariants. Sensors and Actuators A Physical. 198. 113–118. 3 indexed citations
11.
Novotný, Petr & Tomáš Suk. (2013). Leaf recognition of woody species in Central Europe. Biosystems Engineering. 115(4). 444–452. 85 indexed citations
12.
Suk, Tomáš, Cyril Höschl, & Jan Flusser. (2012). Decomposition of binary images—A survey and comparison. Pattern Recognition. 45(12). 4279–4291. 14 indexed citations
13.
Haindl, Michal, et al.. (2011). Colour and rotation invariant textural features based on Markov random fields. Pattern Recognition Letters. 32(6). 771–779. 11 indexed citations
14.
Suk, Tomáš & Jan Flusser. (2004). Projective moment invariants. IEEE Transactions on Pattern Analysis and Machine Intelligence. 26(10). 1364–1367. 33 indexed citations
15.
Suk, Tomáš & Jan Flusser. (2004). Graph method for generating affine moment invariants. Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.. 192–195 Vol.2. 21 indexed citations
16.
Suk, Tomáš & Jan Flusser. (2003). Blur and affine moment invariants. 4. 339–342. 7 indexed citations
17.
Flusser, Jan, Barbara Zitová, & Tomáš Suk. (2003). Invariant-based registration of rotated and blurred images. 2. 1262–1264. 28 indexed citations
18.
Flusser, Jan, Tomáš Suk, & Stanislav Saic. (1996). Recognition Of Images Degraded By Linear Motion Blur Without Restoration. 2 indexed citations
19.
Flusser, Jan, Tomáš Suk, & Stanislav Saic. (1996). Recognition of blurred images by the method of moments. IEEE Transactions on Image Processing. 5(3). 533–538. 70 indexed citations
20.
Suk, Tomáš & Jan Flusser. (1996). Vertex-based features for recognition of projectively deformed polygons. Pattern Recognition. 29(3). 361–367. 13 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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