Eva Volná

31 papers and 138 indexed citations i.

About

Eva Volná is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Eva Volná has authored 31 papers receiving a total of 138 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 5 papers in Industrial and Manufacturing Engineering and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Eva Volná’s work include Neural Networks and Applications (11 papers), Fuzzy Logic and Control Systems (7 papers) and Scheduling and Optimization Algorithms (3 papers). Eva Volná is often cited by papers focused on Neural Networks and Applications (11 papers), Fuzzy Logic and Control Systems (7 papers) and Scheduling and Optimization Algorithms (3 papers). Eva Volná collaborates with scholars based in Czechia. Eva Volná's co-authors include Martin Kotyrba, Petr Bujok, Roman Maršálek, Michal Bar, Zuzana Komínková Oplatková, Roman Šenkeřík and Petr Kulišťák and has published in prestigious journals such as IEEE Transactions on Neural Networks and Learning Systems, Neural Networks and Applied Soft Computing.

In The Last Decade

Co-authorship network of co-authors of Eva Volná i

Fields of papers citing papers by Eva Volná

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Eva Volná

Since Specialization
Citations

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