Pavel Surynek

55 papers and 457 indexed citations i.

About

Pavel Surynek is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Pavel Surynek has authored 55 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Computer Vision and Pattern Recognition, 32 papers in Artificial Intelligence and 24 papers in Computer Networks and Communications. Recurrent topics in Pavel Surynek’s work include Robotic Path Planning Algorithms (42 papers), AI-based Problem Solving and Planning (17 papers) and Logic, Reasoning, and Knowledge (14 papers). Pavel Surynek is often cited by papers focused on Robotic Path Planning Algorithms (42 papers), AI-based Problem Solving and Planning (17 papers) and Logic, Reasoning, and Knowledge (14 papers). Pavel Surynek collaborates with scholars based in Czechia, Israel and United States. Pavel Surynek's co-authors include Ariel Felner, Roni Stern, Eli Boyarski, T. K. Satish Kumar, Sven Koenig, Jiaoyang Li, Meir Goldenberg, Solomon Eyal Shimony, Adi Botea and Guni Sharon and has published in prestigious journals such as Artificial Intelligence, Annals of Operations Research and Journal of Artificial Intelligence Research.

In The Last Decade

Co-authorship network of co-authors of Pavel Surynek i

Fields of papers citing papers by Pavel Surynek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pavel Surynek

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025