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
- Semantic Web and Ontologies
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- Advanced Multi-Objective Optimization Algorithms
Papers in
-
- Metaheuristic Optimization Algorithms Research 48
- Evolutionary Algorithms and Applications 38
- Neural Networks and Applications 32
- Machine Learning and Data Classification 17
- Multi-Agent Systems and Negotiation 15
- Semantic Web and Ontologies 11
- Fuzzy Logic and Control Systems 11
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- Advanced Multi-Objective Optimization Algorithms 27
- Co-authors
- Roman Vaculín (5 shared papers)Katia Sycara (4 shared papers)Huajun Chen (1 shared paper)Věra Kůrková (2 shared papers)Juan Carlos Figueroa–García (5 shared papers)Pavel Krömer (2 shared papers)Václav Snåšel (2 shared papers)Jan Koutník (1 shared paper)
- Journals
- Lecture notes in computer science (29 papers)Scientific Reports (2 papers)Neural Networks (2 papers)Epidemics (1 paper)Engineering Applications of Artificial Intelligence (1 paper)
- Partner nations
- CzechiaUnited StatesColombia
In The Last Decade
Roman Neruda
121 papers receiving 690 citations
Peers
Comparison fields: 5 of 96
- Artificial Intelligence 528
- Computational Theory and Mathematics 195
- Information Systems 134
- Management Science and Operations Research 68
- Management Information Systems 46
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 24 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 135 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 63 | |
| 2 | 2008 | 34 | |
| 3 | 2017 | 27 | |
| 4 | 2020 | 24 | |
| 5 | 2009 | 23 | |
| 6 | 2011 | 22 | |
| 7 | 2012 | 22 | |
| 8 | 2011 | 19 | |
| 9 | 2022 | 18 | |
| 10 | 1995 | 16 | |
| 11 | 2008 | 16 | |
| 12 | 2012 | 16 | |
| 13 | 2016 | 13 | |
| 14 | 2015 | 13 | |
| 15 | 2007 | 12 | |
| 16 | 2006 | 12 | |
| 17 | 2014 | 12 | |
| 18 | 2015 | 11 | |
| 19 | 2016 | 10 | |
| 20 | 1994 | 10 |
About Roman Neruda
Roman Neruda is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, Information Systems and Control and Systems Engineering, having authored 135 papers that have together received 726 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (48 papers), Evolutionary Algorithms and Applications (38 papers), Neural Networks and Applications (32 papers), Advanced Multi-Objective Optimization Algorithms (27 papers), Machine Learning and Data Classification (17 papers), Multi-Agent Systems and Negotiation (15 papers), Semantic Web and Ontologies (11 papers) and Fuzzy Logic and Control Systems (11 papers). The work is most often cited by research in Artificial Intelligence (528 citations), Computational Theory and Mathematics (195 citations), Information Systems (134 citations), Management Science and Operations Research (68 citations) and Management Information Systems (46 citations). Roman Neruda has collaborated with scholars based in Czechia, United States and Colombia. Frequent co-authors include Roman Vaculín, Katia Sycara, Huajun Chen, Věra Kůrková, Juan Carlos Figueroa–García, Pavel Krömer, Václav Snåšel, Jan Koutník, Miguel Á. Vega-Rodríguez and Pavel Kovář. Their work appears in journals such as Lecture notes in computer science, Scientific Reports, Neural Networks, Epidemics and Engineering Applications of Artificial Intelligence.
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.