Tomáš Pajdla

105 papers and 6.8k indexed citations i.

About

Tomáš Pajdla is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Media Technology. According to data from OpenAlex, Tomáš Pajdla has authored 105 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Computer Vision and Pattern Recognition, 39 papers in Aerospace Engineering and 16 papers in Media Technology. Recurrent topics in Tomáš Pajdla’s work include Advanced Vision and Imaging (60 papers), Robotics and Sensor-Based Localization (37 papers) and Advanced Image and Video Retrieval Techniques (29 papers). Tomáš Pajdla is often cited by papers focused on Advanced Vision and Imaging (60 papers), Robotics and Sensor-Based Localization (37 papers) and Advanced Image and Video Retrieval Techniques (29 papers). Tomáš Pajdla collaborates with scholars based in Czechia, United States and Switzerland. Tomáš Pajdla's co-authors include Jiřı́ Matas, Ondřej Chum, M. Urban, Akihiko Torii, Josef Šivic, Relja Arandjelović, Petr Gronát, Daniel Martinec, Zuzana Kúkelová and Tomáš Svoboda and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Transactions on Graphics and International Journal of Computer Vision.

In The Last Decade

Co-authorship network of co-authors of Tomáš Pajdla i

Fields of papers citing papers by Tomáš Pajdla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tomáš Pajdla

Since Specialization
Citations

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

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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