Roman Neruda

40 papers and 203 indexed citations i.

About

Roman Neruda is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Environmental Engineering. According to data from OpenAlex, Roman Neruda has authored 40 papers receiving a total of 203 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 10 papers in Computational Theory and Mathematics and 5 papers in Environmental Engineering. Recurrent topics in Roman Neruda’s work include Metaheuristic Optimization Algorithms Research (15 papers), Evolutionary Algorithms and Applications (13 papers) and Advanced Multi-Objective Optimization Algorithms (10 papers). Roman Neruda is often cited by papers focused on Metaheuristic Optimization Algorithms Research (15 papers), Evolutionary Algorithms and Applications (13 papers) and Advanced Multi-Objective Optimization Algorithms (10 papers). Roman Neruda collaborates with scholars based in Czechia, Colombia and Croatia. Roman Neruda's co-authors include Věra Kůrková, Jan Koutník, Juan Carlos Figueroa–García, Miguel A. Vega‐Rodríguez, Carlos Martı́n-Vide, Luděk Berec, Václav Snåšel, Pavel Krömer, Pavel Kovář and Michaela Hrabalíková and has published in prestigious journals such as Scientific Reports, Information Sciences and Neurocomputing.

In The Last Decade

Co-authorship network of co-authors of Roman Neruda i

Fields of papers citing papers by Roman Neruda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Roman Neruda

Since Specialization
Citations

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