Roman Neruda

959 total citations
92 papers, 474 citations indexed

About

Roman Neruda is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Information Systems. According to data from OpenAlex, Roman Neruda has authored 92 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Artificial Intelligence, 22 papers in Computational Theory and Mathematics and 14 papers in Information Systems. Recurrent topics in Roman Neruda's work include Metaheuristic Optimization Algorithms Research (36 papers), Evolutionary Algorithms and Applications (27 papers) and Advanced Multi-Objective Optimization Algorithms (21 papers). Roman Neruda is often cited by papers focused on Metaheuristic Optimization Algorithms Research (36 papers), Evolutionary Algorithms and Applications (27 papers) and Advanced Multi-Objective Optimization Algorithms (21 papers). Roman Neruda collaborates with scholars based in Czechia, Colombia and United States. Roman Neruda's co-authors include Roman Vaculín, Katia Sycara, Juan Carlos Figueroa–García, Huajun Chen, Carlos Martı́n-Vide, Václav Snåšel, Pavel Krömer, Jan Koutník, Věra Kůrková and Miguel A. Vega‐Rodríguez and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Information Sciences.

In The Last Decade

Roman Neruda

84 papers receiving 452 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Roman Neruda Czechia 11 330 146 79 46 38 92 474
Guilin Qi China 13 333 1.0× 79 0.5× 95 1.2× 45 1.0× 34 0.9× 63 780
Xiubin Zhu China 14 355 1.1× 242 1.7× 87 1.1× 62 1.3× 24 0.6× 39 525
Tapio Elomaa Finland 12 375 1.1× 110 0.8× 150 1.9× 38 0.8× 42 1.1× 39 564
Alireza Farhangfar Canada 6 276 0.8× 42 0.3× 139 1.8× 47 1.0× 23 0.6× 8 478
Yuanjian Zhang China 10 285 0.9× 191 1.3× 170 2.2× 53 1.2× 20 0.5× 39 566
Xingchen Hu China 16 312 0.9× 175 1.2× 80 1.0× 59 1.3× 29 0.8× 41 516
Cungen Cao China 13 378 1.1× 169 1.2× 93 1.2× 55 1.2× 65 1.7× 89 592
K. De Jong United States 11 367 1.1× 104 0.7× 62 0.8× 27 0.6× 27 0.7× 21 576
Eghbal G. Mansoori Iran 12 356 1.1× 104 0.7× 74 0.9× 41 0.9× 29 0.8× 50 571

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).

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.

Co-authorship network of co-authors of Roman Neruda

This figure shows the co-authorship network connecting the top 25 collaborators of Roman Neruda. A scholar is included among the top collaborators of Roman Neruda based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Roman Neruda. Roman Neruda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Figueroa–García, Juan Carlos, et al.. (2024). On cosine fuzzy sets and uncertainty quantification. Engineering Applications of Artificial Intelligence. 138. 109241–109241. 2 indexed citations
2.
Brom, Cyril, et al.. (2023). Rotation-based schedules in elementary schools to prevent COVID-19 spread: a simulation study. Scientific Reports. 13(1). 19156–19156.
3.
Berec, Luděk, et al.. (2023). On the contact tracing for COVID-19: A simulation study. Epidemics. 43. 100677–100677. 3 indexed citations
4.
Berec, Luděk, et al.. (2022). Delays, Masks, the Elderly, and Schools: First Covid-19 Wave in the Czech Republic. Bulletin of Mathematical Biology. 84(8). 75–75. 3 indexed citations
5.
Berec, Luděk, et al.. (2022). Importance of vaccine action and availability and epidemic severity for delaying the second vaccine dose. Scientific Reports. 12(1). 7638–7638. 2 indexed citations
6.
7.
Neruda, Roman, et al.. (2020). Vulnerability of classifiers to evolutionary generated adversarial examples. Neural Networks. 127. 168–181. 19 indexed citations
8.
Neruda, Roman, et al.. (2019). On the boundaries of the centroid of a class of fuzzy numbers. Repositorio Institucional E-DocUR (Universidad Del Rosario). 1–5. 1 indexed citations
9.
Neruda, Roman, et al.. (2018). Asynchronous Evolution of Convolutional Networks.. 80–85. 2 indexed citations
10.
Neruda, Roman, et al.. (2017). Evolution Strategies for Deep Neural Network Models Design.. ASEP. 159–166. 7 indexed citations
11.
Neruda, Roman, et al.. (2016). Vulnerability of Machine Learning Models to Adversarial Examples.. ASEP. 187–194. 1 indexed citations
12.
Neruda, Roman, et al.. (2013). Learning Errors by Radial Basis Function Neural Networks and Regularization Networks. 4 indexed citations
13.
Neruda, Roman, et al.. (2011). LAMM-MMA. ASEP. 79–80. 6 indexed citations
14.
Neruda, Roman, et al.. (2010). Comparison of behavior-based and planning techniques on the small robot maze exploration problem. Neural Networks. 23(4). 560–567. 3 indexed citations
15.
Neruda, Roman, et al.. (2009). Localization With a Low-cost Robot.. 77–80. 2 indexed citations
16.
Neruda, Roman, et al.. (2008). Supervised Learning Errors by Radial Basis Function Neural Networks and Regularization Networks. 3. 193–196. 1 indexed citations
17.
Neruda, Roman, et al.. (2007). Behaviour patterns evolution on individual and group level. Computational intelligence. 23–28. 2 indexed citations
18.
Neruda, Roman, et al.. (2006). Parameter genetic learning of perceptron networks. International Conference on Systems. 92–97. 2 indexed citations
19.
Neruda, Roman, et al.. (2004). Bang 3: a computational multi-agent system. IEEE/WIC/ACM International Conference on Intelligent Agent Technology. 563–564. 1 indexed citations
20.
Neruda, Roman. (2000). Genetic algorithms and neural networks: making use of parameter space symmetries. 3. 293–298 vol.1. 3 indexed citations

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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