Věra Kůrková

56 papers and 1.5k indexed citations i.

About

Věra Kůrková is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Věra Kůrková has authored 56 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 12 papers in Computational Theory and Mathematics. Recurrent topics in Věra Kůrková’s work include Neural Networks and Applications (35 papers), Image and Signal Denoising Methods (11 papers) and Fuzzy Logic and Control Systems (10 papers). Věra Kůrková is often cited by papers focused on Neural Networks and Applications (35 papers), Image and Signal Denoising Methods (11 papers) and Fuzzy Logic and Control Systems (10 papers). Věra Kůrková collaborates with scholars based in Czechia, Italy and United States. Věra Kůrková's co-authors include Marcello Sanguineti, Paul C. Kainen, Andrew Vogt, Barbara Hammer, Yannis Manolopoulos, Ilias Maglogiannis, Lazaros Iliadis, Pavel Karpov, Fabian J. Theis and Igor V. Tetko and has published in prestigious journals such as IEEE Transactions on Information Theory, Neural Computation and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Co-authorship network of co-authors of Věra Kůrková i

Fields of papers citing papers by Věra Kůrková

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Věra Kůrková

Since Specialization
Citations

This map shows the geographic impact of Věra Kůrková'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 Věra Kůrková with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Věra Kůrková 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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2025