Tomáš Souček

571 total citations
17 papers, 234 citations indexed

About

Tomáš Souček is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Tomáš Souček has authored 17 papers receiving a total of 234 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 1 paper in Sociology and Political Science. Recurrent topics in Tomáš Souček's work include Multimodal Machine Learning Applications (15 papers), Advanced Image and Video Retrieval Techniques (12 papers) and Video Analysis and Summarization (12 papers). Tomáš Souček is often cited by papers focused on Multimodal Machine Learning Applications (15 papers), Advanced Image and Video Retrieval Techniques (12 papers) and Video Analysis and Summarization (12 papers). Tomáš Souček collaborates with scholars based in Czechia, United Kingdom and Switzerland. Tomáš Souček's co-authors include Jakub Lokoč, Luca Rossetto, Werner Bailer, Klaus Schoeffmann, Stefanos Vrochidis, Antoine Miech, Jean-Baptiste Alayrac, Ivan Laptev, Paolo Bolettieri and Ralph Gasser and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Multimedia and IEEE Multimedia.

In The Last Decade

Tomáš Souček

16 papers receiving 228 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tomáš Souček Czechia 11 216 81 11 8 7 17 234
Silvan Heller Switzerland 10 187 0.9× 70 0.9× 19 1.7× 3 0.4× 8 1.1× 17 210
Loris Sauter Switzerland 10 158 0.7× 54 0.7× 15 1.4× 4 0.5× 8 1.1× 16 186
Florian Spieß Switzerland 8 130 0.6× 50 0.6× 8 0.7× 3 0.4× 8 1.1× 21 163
Van-Tu Ninh Ireland 10 165 0.8× 79 1.0× 4 0.4× 3 0.4× 6 0.9× 28 188
Anand Mishra India 8 351 1.6× 195 2.4× 5 0.5× 6 0.8× 3 0.4× 25 390
Yingya Zhang China 6 122 0.6× 78 1.0× 8 0.7× 9 1.1× 4 0.6× 12 136
Antoine Yang France 6 181 0.8× 80 1.0× 2 0.2× 7 0.9× 3 0.4× 7 217
Abderrazak Zahour France 9 275 1.3× 46 0.6× 10 0.9× 8 1.0× 15 285
Rafael Sampaio de Rezende South Korea 3 141 0.7× 67 0.8× 2 0.2× 14 1.8× 2 0.3× 4 169

Countries citing papers authored by Tomáš Souček

Since Specialization
Citations

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

Fields of papers citing papers by Tomáš Souček

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomáš Souček

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

All Works

17 of 17 papers shown
1.
Souček, Tomáš, et al.. (2025). ShowHowTo: Generating Scene-Conditioned Step-by-Step Visual Instructions. Explore Bristol Research. 27435–27445.
2.
Souček, Tomáš & Jakub Lokoč. (2024). TransNet V2: An Effective Deep Network Architecture for Fast Shot Transition Detection. 11218–11221. 9 indexed citations
3.
Souček, Tomáš, et al.. (2024). GenHowTo: Learning to Generate Actions and State Transformations from Instructional Videos. 6561–6571. 2 indexed citations
4.
Souček, Tomáš, Jean-Baptiste Alayrac, Antoine Miech, Ivan Laptev, & Josef Šivic. (2024). Multi-Task Learning of Object States and State-Modifying Actions From Web Videos. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(7). 5114–5130. 5 indexed citations
5.
Souček, Tomáš, Jean-Baptiste Alayrac, Antoine Miech, Ivan Laptev, & Josef Šivic. (2022). Look for the Change: Learning Object States and State-Modifying Actions from Untrimmed Web Videos. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 13936–13946. 13 indexed citations
6.
Rossetto, Luca, Ralph Gasser, Silvan Heller, et al.. (2021). On the User-Centric Comparative Remote Evaluation of Interactive Video Search Systems. IEEE Multimedia. 28(4). 18–28. 9 indexed citations
7.
Lokoč, Jakub, Tomáš Souček, Luca Rossetto, et al.. (2021). Is the Reign of Interactive Search Eternal? Findings from the Video Browser Showdown 2020. ACM Transactions on Multimedia Computing Communications and Applications. 17(3). 1–26. 22 indexed citations
8.
Lokoč, Jakub, et al.. (2021). Enhanced SOMHunter for Known-item Search in Lifelog Data. 71–73. 13 indexed citations
9.
Souček, Tomáš, et al.. (2020). SOMHunter for Lifelog Search. 73–75. 18 indexed citations
10.
Souček, Tomáš, et al.. (2020). SOMHunter: Lightweight Video Search System with SOM-Guided Relevance Feedback. 4481–4484. 10 indexed citations
11.
Souček, Tomáš, et al.. (2020). VIRET Tool with Advanced Visual Browsing and Feedback. 15. 63–66. 15 indexed citations
12.
Rossetto, Luca, Ralph Gasser, Jakub Lokoč, et al.. (2020). Interactive Video Retrieval in the Age of Deep Learning – Detailed Evaluation of VBS 2019. IEEE Transactions on Multimedia. 23. 243–256. 40 indexed citations
13.
Lokoč, Jakub, et al.. (2020). A W2VV++ Case Study with Automated and Interactive Text-to-Video Retrieval. 2553–2561. 11 indexed citations
14.
Lokoč, Jakub, et al.. (2019). A Framework for Effective Known-item Search in Video. 1777–1785. 27 indexed citations
15.
Lokoč, Jakub, et al.. (2019). VIRET. 177–181. 16 indexed citations
16.
Lokoč, Jakub, et al.. (2019). Enhanced VIRET Tool for Lifelog Data. 25–26. 9 indexed citations
17.
Lokoč, Jakub, et al.. (2018). Using an Interactive Video Retrieval Tool for LifeLog Data. 15–19. 15 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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