Jakub Kůdela

40 papers and 404 indexed citations i.

About

Jakub Kůdela is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Industrial and Manufacturing Engineering. According to data from OpenAlex, Jakub Kůdela has authored 40 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 11 papers in Computational Theory and Mathematics and 8 papers in Industrial and Manufacturing Engineering. Recurrent topics in Jakub Kůdela’s work include Metaheuristic Optimization Algorithms Research (11 papers), Advanced Multi-Objective Optimization Algorithms (10 papers) and Municipal Solid Waste Management (8 papers). Jakub Kůdela is often cited by papers focused on Metaheuristic Optimization Algorithms Research (11 papers), Advanced Multi-Objective Optimization Algorithms (10 papers) and Municipal Solid Waste Management (8 papers). Jakub Kůdela collaborates with scholars based in Czechia, Lithuania and China. Jakub Kůdela's co-authors include Radomil Matoušek, Radovan Šomplák, Vlastimír Nevrlý, Martin Pavlas, Pavel Charvát, Lubomír Klimeš, Martin Zálešák, Remigijus Paulavičius, Ondřej Bojar and Irena Holubová and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Journal of Cleaner Production and Energy.

In The Last Decade

Co-authorship network of co-authors of Jakub Kůdela i

Fields of papers citing papers by Jakub Kůdela

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jakub Kůdela

Since Specialization
Citations

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