Roman Juránek

736 total citations
28 papers, 471 citations indexed

About

Roman Juránek is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Automotive Engineering. According to data from OpenAlex, Roman Juránek has authored 28 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 5 papers in Media Technology and 3 papers in Automotive Engineering. Recurrent topics in Roman Juránek's work include Video Surveillance and Tracking Methods (13 papers), Advanced Vision and Imaging (9 papers) and Advanced Neural Network Applications (6 papers). Roman Juránek is often cited by papers focused on Video Surveillance and Tracking Methods (13 papers), Advanced Vision and Imaging (9 papers) and Advanced Neural Network Applications (6 papers). Roman Juránek collaborates with scholars based in Czechia and Finland. Roman Juránek's co-authors include Adam Herout, Jakub Sochor, Pavel Zemčík, Jakub Špaňhel, Markéta Dubská, Michal Hradiš, Lasse Lensu, Martin Musil, Heikki Kälviäinen and Jiří Havel and has published in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Circuits and Systems for Video Technology and Pattern Recognition Letters.

In The Last Decade

Roman Juránek

27 papers receiving 462 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roman Juránek Czechia 10 356 122 116 67 50 28 471
Zezhi Chen United Kingdom 13 484 1.4× 155 1.3× 97 0.8× 65 1.0× 69 1.4× 26 595
Jinhui Lan China 12 221 0.6× 66 0.5× 68 0.6× 50 0.7× 58 1.2× 34 380
Markéta Dubská Czechia 12 306 0.9× 59 0.5× 71 0.6× 110 1.6× 31 0.6× 19 409
Yalong Ma China 7 282 0.8× 56 0.5× 73 0.6× 118 1.8× 25 0.5× 13 416
Jon Arróspide Spain 11 326 0.9× 73 0.6× 175 1.5× 63 0.9× 51 1.0× 18 395
Neeraj K. Kanhere United States 11 335 0.9× 42 0.3× 155 1.3× 25 0.4× 46 0.9× 18 452
Yongzheng Xu China 5 254 0.7× 53 0.4× 58 0.5× 119 1.8× 19 0.4× 5 371
Chunmian Lin China 10 201 0.6× 33 0.3× 65 0.6× 55 0.8× 45 0.9× 14 344
Marvin Teichmann United Kingdom 2 413 1.2× 38 0.3× 149 1.3× 59 0.9× 106 2.1× 2 513
Ramanpreet Singh Pahwa Singapore 10 240 0.7× 65 0.5× 46 0.4× 45 0.7× 35 0.7× 30 364

Countries citing papers authored by Roman Juránek

Since Specialization
Citations

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

Fields of papers citing papers by Roman Juránek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roman Juránek

This figure shows the co-authorship network connecting the top 25 collaborators of Roman Juránek. A scholar is included among the top collaborators of Roman Juránek 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 Roman Juránek. Roman Juránek 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.
Musil, Martin, et al.. (2023). Smart Camera for Traffic Applications. Journal of Signal Processing Systems. 95(9). 1067–1077.
2.
Juránek, Roman, et al.. (2022). Graph-based deep learning segmentation of EDS spectral images for automated mineral phase analysis. Computers & Geosciences. 165. 105109–105109. 14 indexed citations
3.
Dobeš, Petr, et al.. (2020). Density-Based Vehicle Counting with Unsupervised Scale Selection. 1–8. 1 indexed citations
4.
Špaňhel, Jakub, et al.. (2020). Automatic camera calibration by landmarks on rigid objects. Machine Vision and Applications. 32(1). 16 indexed citations
5.
Špaňhel, Jakub, et al.. (2019). Vehicle Re-Identifiation and Multi-Camera Tracking in Challenging City-Scale Environment. Computer Vision and Pattern Recognition. 150–158. 3 indexed citations
6.
Juránek, Roman, et al.. (2018). Cascaded Stripe Memory Engines for Multi-Scale Object Detection in FPGA. IEEE Transactions on Circuits and Systems for Video Technology. 30(1). 267–280. 5 indexed citations
7.
Musil, Martin, et al.. (2018). Color HDR video processing architecture for smart camera. Journal of Real-Time Image Processing. 17(3). 555–566. 8 indexed citations
8.
Sochor, Jakub, et al.. (2017). BrnoCompSpeed: Review of Traffic Camera Calibration and Comprehensive Dataset for Monocular Speed Measurement.. arXiv (Cornell University). 14 indexed citations
9.
Sochor, Jakub, Roman Juránek, & Adam Herout. (2017). Traffic surveillance camera calibration by 3D model bounding box alignment for accurate vehicle speed measurement. Computer Vision and Image Understanding. 161. 87–98. 72 indexed citations
10.
Juránek, Roman, Adam Herout, Markéta Dubská, & Pavel Zemčík. (2015). Real-Time Pose Estimation Piggybacked on Object Detection. 20 indexed citations
11.
Juránek, Roman, et al.. (2014). Cheap rendering vs. costly annotation. 71–78. 2 indexed citations
12.
Dubská, Markéta, Adam Herout, Roman Juránek, & Jakub Sochor. (2014). Fully Automatic Roadside Camera Calibration for Traffic Surveillance. IEEE Transactions on Intelligent Transportation Systems. 16(3). 1162–1171. 76 indexed citations
13.
Zemčík, Pavel, et al.. (2013). High performance architecture for object detection in streamed videos. 1–4. 6 indexed citations
14.
Zemčík, Pavel, et al.. (2013). High performance FPGA object detector: Hardware prototype. 1–1. 1 indexed citations
15.
Juránek, Roman, et al.. (2011). Research of Image Features for Classification of Wear Debris. 479–493. 7 indexed citations
16.
Juránek, Roman, Pavel Zemčík, & Adam Herout. (2010). Implementing the local binary patterns with SIMD instructions of CPU. Digital Library (University of West Bohemia). 7 indexed citations
17.
Herout, Adam, et al.. (2010). Real-time object detection on CUDA. Journal of Real-Time Image Processing. 6(3). 159–170. 29 indexed citations
18.
Herout, Adam, et al.. (2008). Brno University of Technology at TRECVid 2008. TRECVID. 1 indexed citations
19.
Herout, Adam, Pavel Zemčík, Roman Juránek, & Michal Hradiš. (2008). Implementation of the "Local Rank Differences" Image Feature Using SIMD Instructions of CPU. 450–457. 3 indexed citations
20.
Hradiš, Michal & Roman Juránek. (2006). Real-time Tracking of Participants in Meeting Video. 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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