Kamil Říha

926 total citations
66 papers, 665 citations indexed

About

Kamil Říha is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Kamil Říha has authored 66 papers receiving a total of 665 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Computer Vision and Pattern Recognition, 20 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Biomedical Engineering. Recurrent topics in Kamil Říha's work include Medical Image Segmentation Techniques (15 papers), Retinal Imaging and Analysis (12 papers) and Cardiovascular Health and Disease Prevention (9 papers). Kamil Říha is often cited by papers focused on Medical Image Segmentation Techniques (15 papers), Retinal Imaging and Analysis (12 papers) and Cardiovascular Health and Disease Prevention (9 papers). Kamil Říha collaborates with scholars based in Czechia, India and China. Kamil Říha's co-authors include Malay Kishore Dutta, Radim Bürget, Anushikha Singh, Parthasarathi Mangipudi, Václav Uher, Eva Závodná, Ashish Issac, Xiao Yu, Dahua Li and Qiang Gao and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Powder Technology.

In The Last Decade

Kamil Říha

60 papers receiving 638 citations

Peers

Kamil Říha
Comparison fields: 5 of 108
  • Computer Vision and Pattern Recognition 328
  • Radiology, Nuclear Medicine and Imaging 237
  • Artificial Intelligence 119
  • Ophthalmology 115
  • Biomedical Engineering 103
Replace Muyi Sun with:
Muyi Sun China
Ivan Cruz‐Aceves Mexico
Minglei Li China
A.M. Vossepoel Netherlands
Zekuan Yu China
Zhemin Zhuang China
Samir S. Yadav India
Žiga Špiclin Slovenia
Ali Mottaghi United States
Muyi Sun China View profile →
Citations per field, relative to Kamil Říha
Kamil Říha · 1×
Citations per year, relative to Kamil Říha
Kamil Říha · 1×

Countries citing papers authored by Kamil Říha

Since Specialization
Citations

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

Fields of papers citing papers by Kamil Říha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kamil Říha

This figure shows the co-authorship network connecting the top 25 collaborators of Kamil Říha. A scholar is included among the top collaborators of Kamil Říha 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 Kamil Říha. Kamil Říha 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
# Work Indexed citations
1 0
2 34
3 4
4 6
5 9
6 1
7 5
8 10
9 11
10 23
11 1
12 13
13 50
14 10
15
The Modelling of Stereoscopic 3D Scene Acquisition
9
16 31
17
Testing of methods for artery section area detection
2
18
The sequential detection of artery sectional area using optical flow technique
14
19 2
20
Detection of artery section area using artificial immune system algorithm
6

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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2026