Martin Sarnovský
Impact in
- Signal Processing top 5%
- Advanced Malware Detection Techniques
- Artificial Intelligence top 5%
- Sentiment Analysis and Opinion Mining
- Anomaly Detection Techniques and Applications
- Hate Speech and Cyberbullying Detection
Papers in
-
- Data Stream Mining Techniques 7
- Semantic Web and Ontologies 5
- Neural Networks and Applications 3
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- Data Mining Algorithms and Applications 6
- Spam and Phishing Detection 3
- Co-authors
- Viera Krešňáková (6 shared papers)Peter Butka (7 shared papers)Ján Paralič (6 shared papers)Kristína Machová (2 shared papers)Peter Bednár (7 shared papers)Viktor Demko (1 shared paper)František Babič (3 shared papers)Peter Bednár (1 shared paper)
- Journals
- Acta Polytechnica Hungarica (4 papers)PeerJ Computer Science (2 papers)Future Internet (1 paper)Applied Sciences (1 paper)Electronics (1 paper)
- Partner nations
- SlovakiaUnited States
In The Last Decade
Martin Sarnovský
35 papers receiving 340 citations
Peers
Comparison fields: 5 of 75
- Signal Processing 103
- Artificial Intelligence 205
- Information Systems 107
- Health Informatics 5
- Computer Networks and Communications 67
Countries citing papers authored by Martin Sarnovský
This map shows the geographic impact of Martin Sarnovský'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 Martin Sarnovský with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Sarnovský more than expected).
Fields of papers citing papers by Martin Sarnovský
This network shows the impact of papers produced by Martin Sarnovský. 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 Martin Sarnovský. The network helps show where Martin Sarnovský may publish in the future.
Co-authors
The 8 scholars most cited alongside Martin Sarnovský, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 66 | |
| 2 | 2020 | 47 | |
| 3 | 2019 | 33 | |
| 4 | 2020 | 26 | |
| 5 | 2018 | 19 | |
| 6 | 2021 | 16 | |
| 7 | 2022 | 15 | |
| 8 | 2008 | 13 | |
| 9 | Grid-based Support for Different Text Mining Tasks | 2009 | 13 |
| 10 | 2022 | 11 | |
| 11 | 2020 | 10 | |
| 12 | 2023 | 8 | |
| 13 | 2008 | 8 | |
| 14 | 2021 | 8 | |
| 15 | 2013 | 6 | |
| 16 | 2012 | 6 | |
| 17 | 2014 | 6 | |
| 18 | 2023 | 5 | |
| 19 | 2019 | 5 | |
| 20 | 2014 | 5 |
About Martin Sarnovský
Martin Sarnovský is a scholar working on Artificial Intelligence, Information Systems, Management Information Systems, Signal Processing and Computer Networks and Communications, having authored 39 papers that have together received 360 indexed citations. Recurring topics across this work include Big Data and Business Intelligence (7 papers), Data Stream Mining Techniques (7 papers), Data Mining Algorithms and Applications (6 papers), Semantic Web and Ontologies (5 papers), Misinformation and Its Impacts (4 papers), Rough Sets and Fuzzy Logic (4 papers), Spam and Phishing Detection (3 papers) and Neural Networks and Applications (3 papers). The work is most often cited by research in Signal Processing (103 citations), Artificial Intelligence (205 citations), Information Systems (107 citations), Health Informatics (5 citations) and Computer Networks and Communications (67 citations). Martin Sarnovský has collaborated with scholars based in Slovakia and United States. Frequent co-authors include Viera Krešňáková, Peter Butka, Ján Paralič, Kristína Machová, Peter Bednár, Viktor Demko, František Babič and Peter Bednár. Their work appears in journals such as Acta Polytechnica Hungarica, PeerJ Computer Science, Future Internet, Applied Sciences and Electronics.
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.