Peter Vojtáš
Impact in
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- Advanced Algebra and Logic
- Rough Sets and Fuzzy Logic
- Artificial Intelligence top 5%
- Logic, Reasoning, and Knowledge
- Semantic Web and Ontologies
- Logic, programming, and type systems
Papers in
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- Logic, Reasoning, and Knowledge 10
- Semantic Web and Ontologies 8
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- Data Management and Algorithms 21
- Co-authors
- Jesús Medina (3 shared papers)Manuel Ojeda‐Aciego (4 shared papers)Ladislav Peška (12 shared papers)Bohuslav Balcar (4 shared papers)Stanislav Krajči (5 shared papers)Petr Šimon (2 shared papers)Tomáš Horváth (7 shared papers)Gabriella Pasi (1 shared paper)
In The Last Decade
Peter Vojtáš
56 papers receiving 439 citations
Peers
Comparison fields: 5 of 51
- Computational Theory and Mathematics 229
- Artificial Intelligence 290
- Signal Processing 90
- Geometry and Topology 51
- Algebra and Number Theory 24
Countries citing papers authored by Peter Vojtáš
This map shows the geographic impact of Peter Vojtáš'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 Peter Vojtáš with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Vojtáš more than expected).
Fields of papers citing papers by Peter Vojtáš
This network shows the impact of papers produced by Peter Vojtáš. 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 Peter Vojtáš. The network helps show where Peter Vojtáš may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Vojtáš, 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 108 | |
| 2 | 2003 | 93 | |
| 3 | 2003 | 20 | |
| 4 | 1981 | 19 | |
| 5 | 2016 | 16 | |
| 6 | Fuzzy Querying: Issues and Perspectives | 2000 | 15 |
| 7 | Soundness and Completeness of Non-classical SLD-Resolution | 1996 | 13 |
| 8 | 2006 | 13 | |
| 9 | 2003 | 11 | |
| 10 | 1980 | 10 | |
| 11 | 2007 | 9 | |
| 12 | 1981 | 8 | |
| 13 | 2007 | 8 | |
| 14 | 2011 | 8 | |
| 15 | 1988 | 7 | |
| 16 | 1980 | 7 | |
| 17 | Fuzzy logic aggregation for semantic web search for the best (top-k) answer. | 2006 | 7 |
| 18 | 2013 | 7 | |
| 19 | 2002 | 6 | |
| 20 | User Preference Web Search -- Experiments with a System Connecting Web and User | 2009 | 5 |
About Peter Vojtáš
Peter Vojtáš is a scholar working on Artificial Intelligence, Signal Processing, Information Systems, Computational Theory and Mathematics and Computer Networks and Communications, having authored 62 papers that have together received 478 indexed citations. Recurring topics across this work include Data Management and Algorithms (21 papers), Advanced Algebra and Logic (12 papers), Recommender Systems and Techniques (12 papers), Logic, Reasoning, and Knowledge (10 papers), Rough Sets and Fuzzy Logic (9 papers), Semantic Web and Ontologies (8 papers), Advanced Database Systems and Queries (7 papers) and Data Mining Algorithms and Applications (6 papers). The work is most often cited by research in Computational Theory and Mathematics (229 citations), Artificial Intelligence (290 citations), Signal Processing (90 citations), Geometry and Topology (51 citations) and Algebra and Number Theory (24 citations). Peter Vojtáš has collaborated with scholars based in Czechia, Slovakia and Spain. Frequent co-authors include Jesús Medina, Manuel Ojeda‐Aciego, Ladislav Peška, Bohuslav Balcar, Stanislav Krajči, Petr Šimon, Tomáš Horváth, Gabriella Pasi, Sławomir Zadrożny and Janusz Kacprzyk. Their work appears in journals such as Fuzzy Sets and Systems, Proceedings of the American Mathematical Society, Kybernetika, Transactions of the American Mathematical Society and Information Processing & Management.
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.