Václav Uher

866 total citations
22 papers, 369 citations indexed

About

Václav Uher is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Václav Uher has authored 22 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Václav Uher's work include Medical Image Segmentation Techniques (7 papers), Image Retrieval and Classification Techniques (6 papers) and Advanced Neural Network Applications (4 papers). Václav Uher is often cited by papers focused on Medical Image Segmentation Techniques (7 papers), Image Retrieval and Classification Techniques (6 papers) and Advanced Neural Network Applications (4 papers). Václav Uher collaborates with scholars based in Czechia, India and Türkiye. Václav Uher's co-authors include Radim Bürget, Malay Kishore Dutta, Parthasarathi Mangipudi, Anushikha Singh, Kamil Říha, Selda Güney, Ritesh Maurya, Petr Mlýnek, Yogesh Kumar and Jiří Mišurec and has published in prestigious journals such as Applied Sciences, Computer Methods and Programs in Biomedicine and Radioengineering.

In The Last Decade

Václav Uher

22 papers receiving 349 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Václav Uher Czechia 9 199 167 121 64 54 22 369
Pedro Costa Portugal 12 265 1.3× 360 2.2× 157 1.3× 166 2.6× 49 0.9× 21 596
Jahanzaib Latif China 8 93 0.5× 185 1.1× 79 0.7× 106 1.7× 25 0.5× 9 338
Preetham Kumar India 11 201 1.0× 218 1.3× 118 1.0× 96 1.5× 29 0.5× 40 405
Anam Fatima Pakistan 5 86 0.4× 121 0.7× 66 0.5× 47 0.7× 19 0.4× 15 251
Manisha Verma India 11 570 2.9× 218 1.3× 123 1.0× 76 1.2× 27 0.5× 22 747
Swamidoss Issac Niwas India 14 212 1.1× 279 1.7× 202 1.7× 140 2.2× 90 1.7× 19 499
K. Balasamy India 9 265 1.3× 177 1.1× 24 0.2× 162 2.5× 66 1.2× 19 610
Adeel M. Syed Pakistan 9 85 0.4× 185 1.1× 145 1.2× 44 0.7× 36 0.7× 18 286
Saleha Masood Pakistan 9 208 1.0× 154 0.9× 75 0.6× 72 1.1× 56 1.0× 17 372
Ahmad Fadzil M. Hani Malaysia 13 195 1.0× 152 0.9× 65 0.5× 40 0.6× 89 1.6× 32 441

Countries citing papers authored by Václav Uher

Since Specialization
Citations

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

Fields of papers citing papers by Václav Uher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Václav Uher

This figure shows the co-authorship network connecting the top 25 collaborators of Václav Uher. A scholar is included among the top collaborators of Václav Uher 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 Václav Uher. Václav Uher 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.
Mlýnek, Petr, Václav Uher, & Jiří Mišurec. (2022). Forecasting of Smart Meters Energy Consumption for Data Analytics and Grid Monitoring. 1–5. 1 indexed citations
2.
3.
Bürget, Radim, et al.. (2019). Superresolution of MRI brain images using unbalanced 3D Dense-U-Net network. 643–646. 12 indexed citations
4.
Bürget, Radim, et al.. (2019). Optimized High Resolution 3D Dense-U-Net Network for Brain and Spine Segmentation. Applied Sciences. 9(3). 404–404. 82 indexed citations
5.
Bürget, Radim, et al.. (2018). 3D Dense-U-Net for MRI Brain Tissue Segmentation. 1–4. 10 indexed citations
6.
Fujdiak, Radek, et al.. (2018). IP Traffic Generator Using Container Virtualization Technology. 1–6. 4 indexed citations
7.
8.
Uher, Václav, et al.. (2016). Optimization Methods in Emotion Recognition System. Radioengineering. 25(3). 565–572. 3 indexed citations
9.
Singh, Anushikha, Malay Kishore Dutta, Parthasarathi Mangipudi, Václav Uher, & Radim Bürget. (2015). Image processing based automatic diagnosis of glaucoma using wavelet features of segmented optic disc from fundus image. Computer Methods and Programs in Biomedicine. 124. 108–120. 159 indexed citations
10.
Uher, Václav, et al.. (2015). Color image (dis)similarity assessment and grouping based on dominant colors. 11. 756–759. 2 indexed citations
11.
Uher, Václav, Radim Bürget, Malay Kishore Dutta, & Petr Mlýnek. (2015). Forecasting electricity consumption in Czech Republic. 262–265. 5 indexed citations
12.
Uher, Václav, et al.. (2015). Multi-GPU implementation of k-nearest neighbor algorithm. 764–767. 11 indexed citations
13.
Dutta, Malay Kishore, et al.. (2015). Edge based block wise selective fingerprint image encryption using chaos. 555–559. 3 indexed citations
14.
Uher, Václav, et al.. (2014). Automatic image labelling using similarity measures. 19. 101–104. 2 indexed citations
15.
Uher, Václav, et al.. (2013). Supervised video scene segmentation using similarity measures. 2009. 793–797. 2 indexed citations
16.
Uher, Václav, et al.. (2013). 3D brain tissue selection and segmentation from MRI. 839–842. 7 indexed citations
17.
Bürget, Radim, et al.. (2013). Optimization of logistic distribution centers process planning and scheduling. 343–348. 3 indexed citations
18.
Bürget, Radim, et al.. (2013). Evolutionary improved object detector for ultrasound images. 586–590. 11 indexed citations
19.
Uher, Václav, et al.. (2013). Speeding up Viola-Jones algorithm using multi-Core GPU implementation. 808–812. 10 indexed citations
20.
Mangipudi, Parthasarathi, et al.. (2013). Automated Brain Tumor segmentation using novel feature point detector and seeded region growing. 27. 648–652. 7 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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