Roman Neruda
Impact in
- Artificial Intelligence top 5%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Neural Networks and Applications
- Machine Learning and Data Classification
- Adversarial Robustness in Machine Learning
-
- Advanced Multi-Objective Optimization Algorithms
Papers in
-
- Metaheuristic Optimization Algorithms Research 36
- Evolutionary Algorithms and Applications 27
- Neural Networks and Applications 17
- Machine Learning and Data Classification 15
- Multi-Agent Systems and Negotiation 7
- Semantic Web and Ontologies 7
-
- Advanced Multi-Objective Optimization Algorithms 21
- Co-authors
- Roman Vaculín (3 shared papers)Katia Sycara (3 shared papers)Juan Carlos Figueroa–García (4 shared papers)Huajun Chen (1 shared paper)Pavel Krömer (1 shared paper)Miguel Á. Vega-Rodríguez (1 shared paper)Věra Kůrková (1 shared paper)Carlos Martı́n-Vide (1 shared paper)
- Journals
- Neural Networks (2 papers)Scientific Reports (2 papers)Engineering Applications of Artificial Intelligence (1 paper)Information Sciences (1 paper)Neurocomputing (1 paper)
- Partner nations
- CzechiaUnited StatesColombia
In The Last Decade
Roman Neruda
84 papers receiving 454 citations
Peers
Comparison fields: 5 of 85
- Artificial Intelligence 331
- Computational Theory and Mathematics 146
- Management Science and Operations Research 47
- Information Systems 79
- Signal Processing 32
Countries citing papers authored by Roman Neruda
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
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-authors
The 21 scholars most cited alongside Roman Neruda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 57 | |
| 2 | 2012 | 21 | |
| 3 | 2017 | 20 | |
| 4 | 2008 | 20 | |
| 5 | 2020 | 19 | |
| 6 | 2011 | 19 | |
| 7 | 2022 | 18 | |
| 8 | 2011 | 16 | |
| 9 | 2012 | 15 | |
| 10 | 2009 | 14 | |
| 11 | 2015 | 11 | |
| 12 | 2015 | 10 | |
| 13 | 2016 | 9 | |
| 14 | 2014 | 9 | |
| 15 | 2016 | 8 | |
| 16 | 2013 | 8 | |
| 17 | 2006 | 8 | |
| 18 | Evolution Strategies for Deep Neural Network Models Design. | 2017 | 7 |
| 19 | 2012 | 7 | |
| 20 | Proceedings of the 18th international conference on Artificial Neural Networks, Part II | 2008 | 7 |
About Roman Neruda
Roman Neruda is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Information Systems, Computer Networks and Communications and Control and Systems Engineering, having authored 92 papers that have together received 476 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (36 papers), Evolutionary Algorithms and Applications (27 papers), Advanced Multi-Objective Optimization Algorithms (21 papers), Neural Networks and Applications (17 papers), Machine Learning and Data Classification (15 papers), Data Mining Algorithms and Applications (10 papers), Multi-Agent Systems and Negotiation (7 papers) and Semantic Web and Ontologies (7 papers). The work is most often cited by research in Artificial Intelligence (331 citations), Computational Theory and Mathematics (146 citations), Management Science and Operations Research (47 citations), Information Systems (79 citations) and Signal Processing (32 citations). Roman Neruda has collaborated with scholars based in Czechia, United States and Colombia. Frequent co-authors include Roman Vaculín, Katia Sycara, Juan Carlos Figueroa–García, Huajun Chen, Pavel Krömer, Miguel Á. Vega-Rodríguez, Věra Kůrková, Carlos Martı́n-Vide, Václav Snåšel and Jan Koutník. Their work appears in journals such as Neural Networks, Scientific Reports, Engineering Applications of Artificial Intelligence, Information Sciences and Neurocomputing.
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.