Radim Tyleček

783 total citations
13 papers, 137 citations indexed

About

Radim Tyleček is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Media Technology. According to data from OpenAlex, Radim Tyleček has authored 13 papers receiving a total of 137 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 6 papers in Aerospace Engineering and 2 papers in Media Technology. Recurrent topics in Radim Tyleček's work include Advanced Vision and Imaging (7 papers), Robotics and Sensor-Based Localization (6 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Radim Tyleček is often cited by papers focused on Advanced Vision and Imaging (7 papers), Robotics and Sensor-Based Localization (6 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Radim Tyleček collaborates with scholars based in United Kingdom, Netherlands and Spain. Radim Tyleček's co-authors include Radim Šára, Robert B. Fisher, Manuel López-Antequera, Nicolai Petkov, Marcelo Saval-Calvo, Nicola Strisciuglio, J. Hemming, Antonio‐Javier Gallego and Bob Fisher and has published in prestigious journals such as IEEE Access, Sensors and ISPRS Journal of Photogrammetry and Remote Sensing.

In The Last Decade

Radim Tyleček

13 papers receiving 133 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Radim Tyleček United Kingdom 6 95 42 29 14 13 13 137
Dimitri Plemenos France 7 105 1.1× 36 0.9× 16 0.6× 5 0.4× 8 0.6× 24 163
Xuanwu Yin China 9 174 1.8× 20 0.5× 8 0.3× 8 0.6× 4 0.3× 15 209
Jean Lahoud United Arab Emirates 4 169 1.8× 87 2.1× 52 1.8× 34 2.4× 27 2.1× 8 236
Davy Neven Belgium 3 120 1.3× 13 0.3× 17 0.6× 25 1.8× 47 3.6× 4 166
Erwan Guillou France 4 218 2.3× 36 0.9× 27 0.9× 13 0.9× 39 3.0× 8 247
Lucas Nogueira Brazil 2 60 0.6× 105 2.5× 40 1.4× 20 1.4× 7 0.5× 3 130
Zongwei Wu China 9 219 2.3× 45 1.1× 7 0.2× 5 0.4× 5 0.4× 14 254
Daniel DeTone United States 5 101 1.1× 81 1.9× 22 0.8× 4 0.3× 11 0.8× 7 141
Khoi Nguyen United States 6 132 1.4× 59 1.4× 30 1.0× 14 1.0× 32 2.5× 14 180
Valeria Garro Italy 8 156 1.6× 72 1.7× 48 1.7× 25 1.8× 8 0.6× 26 223

Countries citing papers authored by Radim Tyleček

Since Specialization
Citations

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

Fields of papers citing papers by Radim Tyleček

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Radim Tyleček

This figure shows the co-authorship network connecting the top 25 collaborators of Radim Tyleček. A scholar is included among the top collaborators of Radim Tyleček 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 Radim Tyleček. Radim Tyleček is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Tyleček, Radim, et al.. (2023). A multi-modal garden dataset and hybrid 3D dense reconstruction framework based on panoramic stereo images for a trimming robot. ISPRS Journal of Photogrammetry and Remote Sensing. 202. 262–286. 3 indexed citations
2.
Gallego, Antonio‐Javier, et al.. (2020). Real-time Stereo Visual Servoing for Rose Pruning with Robotic Arm. Socio-Environmental Systems Modeling. 7050–7056. 10 indexed citations
3.
Strisciuglio, Nicola, et al.. (2019). TB-Places: A Data Set for Visual Place Recognition in Garden Environments. IEEE Access. 7. 52277–52287. 14 indexed citations
4.
Tyleček, Radim, et al.. (2018). DUGMA: Dynamic Uncertainty-Based Gaussian Mixture Alignment. Edinburgh Research Explorer. 766–774. 4 indexed citations
5.
Tyleček, Radim & Robert B. Fisher. (2018). Consistent Semantic Annotation of Outdoor Datasets via 2D/3D Label Transfer. Sensors. 18(7). 2249–2249. 5 indexed citations
6.
Saval-Calvo, Marcelo, et al.. (2017). Best Viewpoint Tracking for Camera Mounted on Robotic Arm with Dynamic Obstacles. Edinburgh Research Explorer (University of Edinburgh). 107–115. 6 indexed citations
7.
Tyleček, Radim. (2015). Probabilistic Models for Symmetric Object Detection in Images. Cvut DSpace (Czech Technical University). 3 indexed citations
8.
Tyleček, Radim. (2013). CMP Facade Database. 2 indexed citations
9.
Tyleček, Radim, et al.. (2012). Stochastic Recognition of Regular Structures in Facade Images. 4(0). 63–70. 9 indexed citations
10.
Tyleček, Radim, et al.. (2011). Computer Vision Workshops (ICCV Workshops), 2011 IEEE International Conference on. 64 indexed citations
11.
Tyleček, Radim & Radim Šára. (2011). Modeling symmetries for stochastic structural recognition. 36. 632–639. 3 indexed citations
12.
Tyleček, Radim & Radim Šára. (2010). Refinement of Surface Mesh for Accurate Multi-View Reconstruction. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
13.
Tyleček, Radim & Radim Šára. (2009). Depth Map Fusion with Camera Position Refinement. 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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