Daniel Smutek

577 total citations
25 papers, 384 citations indexed

About

Daniel Smutek is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Daniel Smutek has authored 25 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Artificial Intelligence and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Daniel Smutek's work include AI in cancer detection (9 papers), Medical Image Segmentation Techniques (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Daniel Smutek is often cited by papers focused on AI in cancer detection (9 papers), Medical Image Segmentation Techniques (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Daniel Smutek collaborates with scholars based in Czechia, Japan and Switzerland. Daniel Smutek's co-authors include Akinobu Shimizu, Hidefumi Kobatake, Shigeru Nawano, Rena Ohno, Jan Jiskra, Z Límanová, P Sucharda, Radim Šára, Martin Švec and Tardi Tjahjadi and has published in prestigious journals such as Clinical & Experimental Immunology, Ultrasound in Medicine & Biology and Molecular Immunology.

In The Last Decade

Daniel Smutek

22 papers receiving 371 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Smutek Czechia 8 162 116 113 101 70 25 384
Zhongwei Lv China 11 81 0.5× 51 0.4× 144 1.3× 27 0.3× 44 0.6× 38 403
D. Crellin United Kingdom 7 47 0.3× 78 0.7× 46 0.4× 119 1.2× 37 0.5× 11 315
Ping Xing China 10 150 0.9× 42 0.4× 57 0.5× 69 0.7× 101 1.4× 17 387
Cai Chang China 14 330 2.0× 117 1.0× 60 0.5× 315 3.1× 68 1.0× 39 548
Nassim Bouteldja Germany 11 148 0.9× 105 0.9× 21 0.2× 125 1.2× 58 0.8× 15 397
Pingjun Chen United States 11 239 1.5× 176 1.5× 33 0.3× 284 2.8× 83 1.2× 23 629
Jianqiao Zhou China 12 356 2.2× 39 0.3× 257 2.3× 148 1.5× 100 1.4× 39 594
Guilherme Moura Cunha United States 18 306 1.9× 75 0.6× 98 0.9× 74 0.7× 81 1.2× 50 935
Khushboo Munir Italy 5 171 1.1× 73 0.6× 44 0.4× 190 1.9× 45 0.6× 6 396
Yijie Dong China 16 447 2.8× 40 0.3× 180 1.6× 142 1.4× 240 3.4× 52 734

Countries citing papers authored by Daniel Smutek

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Smutek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Smutek

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Smutek. A scholar is included among the top collaborators of Daniel Smutek 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 Daniel Smutek. Daniel Smutek 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.
Smutek, Daniel, et al.. (2019). Classification of Thyroid Nodules in Ultrasound Images Using Direction-Independent Features Extracted by Two-Threshold Binary Decomposition. Technology in Cancer Research & Treatment. 18. 1078098396–1078098396. 40 indexed citations
2.
Smutek, Daniel, et al.. (2018). Patch-based classification of thyroid nodules in ultrasound images using direction independent features extracted by two-threshold binary decomposition. Computerized Medical Imaging and Graphics. 71. 9–18. 27 indexed citations
3.
Budil, Petr, Michal Mergl, & Daniel Smutek. (2016). Paleontologicky vyzkum lokality Brloh v Zeleznych horach (lipolticke souvrstvi, spodni ordovik). 4900. 149–156. 2 indexed citations
4.
Shimizu, Akinobu, et al.. (2008). Medical image analysis of 3D CT images based on extension of Haralick texture features. Computerized Medical Imaging and Graphics. 32(6). 513–520. 57 indexed citations
5.
Potluková, Eliška, Jan Jiskra, Z Límanová, et al.. (2008). Autoantibodies against complement C1q correlate with the thyroid function in patients with autoimmune thyroid disease. Clinical & Experimental Immunology. 153(1). 96–101. 19 indexed citations
6.
Smutek, Daniel, et al.. (2007). 3D extension of Haralick texture features for medical image analysis. International Conference on Signal Processing. 350–355. 7 indexed citations
7.
Potluková, Eliška, Jan Jiskra, Z Límanová, et al.. (2007). Autoantibodies against complement C1q correlate with the thyroid function in patients with autoimmune thyroid disease. Molecular Immunology. 44(16). 3941–3941. 3 indexed citations
8.
Smutek, Daniel, et al.. (2007). Medical image segmentation using cooccurrence matrix based texture features calculated on weighted region. 243–248. 1 indexed citations
9.
10.
Shimizu, Akinobu, et al.. (2007). Segmentation of multiple organs in non-contrast 3D abdominal CT images. International Journal of Computer Assisted Radiology and Surgery. 2(3-4). 135–142. 89 indexed citations
11.
Smutek, Daniel, et al.. (2006). Texture analysis of hepatocellular carcinoma and liver cysts in CT images. International Conference on Signal Processing. 56–59. 1 indexed citations
12.
Smutek, Daniel, et al.. (2006). Artificial Intelligence Methods Application in Liver Diseases Classification from CT Images. 146–155. 1 indexed citations
13.
Smutek, Daniel, et al.. (2006). Automatic Internal Medicine Diagnostics Using Statistical Imaging Methods. 31. 405–412. 1 indexed citations
14.
Smutek, Daniel, et al.. (2006). 2164. Ultrasound in Medicine & Biology. 32(5). P120–P120.
15.
Kybic, Jan & Daniel Smutek. (2005). Computational Elastography from Standard Ultrasound Image Sequences by Global Trust Region Optimization. Lecture notes in computer science. 19. 299–310. 4 indexed citations
16.
Smutek, Daniel. (2005). Quality measurement of lossy compression in medical imaging.. PubMed. 106(1). 5–26. 7 indexed citations
17.
Jiskra, Jan, et al.. (2004). Autoimmune thyroid diseases in women with breast cancer and colorectal cancer.. PubMed. 53(6). 693–702. 25 indexed citations
18.
Smutek, Daniel, Radim Šára, P Sucharda, Tardi Tjahjadi, & Martin Švec. (2003). Image texture analysis of sonograms in chronic inflammations of thyroid gland. Ultrasound in Medicine & Biology. 29(11). 1531–1543. 43 indexed citations
19.
Smutek, Daniel, Radim Šára, & P Sucharda. (2003). Relation between quantitative description of ultrasonographic image and clinical and laboratory findings in lymphocytic thyroiditis.. PubMed. 37(3). 181–7. 3 indexed citations
20.
Smutek, Daniel, P Sucharda, & Radim Šára. (2002). Quantitative indicators of sonographic image of thyroid gland and their relation to antithyroid antibodies in Hashimoto's lymphocytic thyroiditis.. PubMed. 90. 8–12. 3 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Zhongwei Lv Breakdown of academic impact, for papers by D. Crellin Breakdown of academic impact, for papers by Ping Xing Breakdown of academic impact, for papers by Cai Chang Breakdown of academic impact, for papers by Nassim Bouteldja Breakdown of academic impact, for papers by Pingjun Chen Breakdown of academic impact, for papers by Jianqiao Zhou Breakdown of academic impact, for papers by Guilherme Moura Cunha Breakdown of academic impact, for papers by Khushboo Munir Breakdown of academic impact, for papers by Yijie Dong
Rankless by CCL
2026