Marián Šimko
Impact in
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- Online Learning and Analytics
- Artificial Intelligence top 5%
- Topic Modeling
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Hate Speech and Cyberbullying Detection
- Intelligent Tutoring Systems and Adaptive Learning
- Natural Language Processing Techniques
- Semantic Web and Ontologies
Papers in
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- Natural Language Processing Techniques 9
- Topic Modeling 8
- Sentiment Analysis and Opinion Mining 7
- Advanced Text Analysis Techniques 7
- Semantic Web and Ontologies 5
- Intelligent Tutoring Systems and Adaptive Learning 3
- Hate Speech and Cyberbullying Detection 2
- Co-authors
- Mária Bieliková (12 shared papers)Michal Barla (3 shared papers)Markus Wenger (1 shared paper)Regula Markwalder (1 shared paper)Ethan Taub (1 shared paper)Marcel Martončik (1 shared paper)Matúš Adamkovič (1 shared paper)Ivan Srba (1 shared paper)
- Journals
- IEEE Transactions on Learning Technologies (1 paper)Complex & Intelligent Systems (1 paper)Computers & Education (1 paper)Journal of Intelligent Information Systems (1 paper)World Wide Web (1 paper)
- Partner nations
- SlovakiaGermanySwitzerland
In The Last Decade
Marián Šimko
24 papers receiving 278 citations
Peers
Comparison fields: 5 of 64
- Computer Science Applications 52
- Artificial Intelligence 206
- Information Systems 76
- Communication 19
- Developmental and Educational Psychology 15
Countries citing papers authored by Marián Šimko
This map shows the geographic impact of Marián Šimko'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 Marián Šimko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marián Šimko more than expected).
Fields of papers citing papers by Marián Šimko
This network shows the impact of papers produced by Marián Šimko. 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 Marián Šimko. The network helps show where Marián Šimko may publish in the future.
Co-authors
The 13 scholars most cited alongside Marián Šimko, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 43 | |
| 2 | 2010 | 43 | |
| 3 | 2013 | 38 | |
| 4 | 2021 | 27 | |
| 5 | 2001 | 27 | |
| 6 | Automatic Concept Relationships Discovery for an Adaptive E-course | 2009 | 18 |
| 7 | 2017 | 14 | |
| 8 | 2018 | 12 | |
| 9 | 2016 | 11 | |
| 10 | 2018 | 11 | |
| 11 | Supporting Collaborative Web-based Education via Annotations | 2011 | 8 |
| 12 | 2019 | 8 | |
| 13 | 2023 | 7 | |
| 14 | 2018 | 6 | |
| 15 | 2018 | 6 | |
| 16 | 2012 | 5 | |
| 17 | 2013 | 3 | |
| 18 | 2020 | 2 | |
| 19 | 2024 | 2 | |
| 20 | Lightweight semantics for the "wild Web" | 2011 | 2 |
About Marián Šimko
Marián Šimko is a scholar working on Artificial Intelligence, Information Systems, Computer Science Applications, Computer Networks and Communications and Surgery, having authored 29 papers that have together received 298 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (9 papers), Topic Modeling (8 papers), Sentiment Analysis and Opinion Mining (7 papers), Advanced Text Analysis Techniques (7 papers), Semantic Web and Ontologies (5 papers), Open Education and E-Learning (3 papers), Intelligent Tutoring Systems and Adaptive Learning (3 papers) and Hate Speech and Cyberbullying Detection (2 papers). The work is most often cited by research in Computer Science Applications (52 citations), Artificial Intelligence (206 citations), Information Systems (76 citations), Communication (19 citations) and Developmental and Educational Psychology (15 citations). Marián Šimko has collaborated with scholars based in Slovakia, Germany and Switzerland. Frequent co-authors include Mária Bieliková, Michal Barla, Markus Wenger, Regula Markwalder, Ethan Taub, Marcel Martončik, Matúš Adamkovič, Ivan Srba, Róbert Móro and Vladimı́r Mihál. Their work appears in journals such as IEEE Transactions on Learning Technologies, Complex & Intelligent Systems, Computers & Education, Journal of Intelligent Information Systems and World Wide Web.
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.