Marián Šimko
Impact in
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- Online Learning and Analytics
- Open Education and E-Learning
- Artificial Intelligence top 5%
- Topic Modeling
- Advanced Text Analysis Techniques
- Sentiment Analysis and Opinion Mining
- Intelligent Tutoring Systems and Adaptive Learning
- Semantic Web and Ontologies
- Natural Language Processing Techniques
Papers in
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- Topic Modeling 15
- Natural Language Processing Techniques 14
- Advanced Text Analysis Techniques 11
- Semantic Web and Ontologies 9
- Sentiment Analysis and Opinion Mining 8
- Intelligent Tutoring Systems and Adaptive Learning 5
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- Web Data Mining and Analysis 5
- Co-authors
- Mária Bieliková (23 shared papers)Michal Barla (5 shared papers)Ivan Srba (3 shared papers)Markus Wenger (1 shared paper)Regula Markwalder (1 shared paper)Ethan Taub (1 shared paper)Róbert Móro (2 shared papers)Matúš Adamkovič (1 shared paper)
- Journals
- Lecture notes in computer science (16 papers)Expert Systems with Applications (1 paper)IEEE Transactions on Learning Technologies (1 paper)World Wide Web (1 paper)Computers & Education (1 paper)
- Partner nations
- SlovakiaGermanySwitzerland
In The Last Decade
Marián Šimko
46 papers receiving 497 citations
Peers
Comparison fields: 5 of 74
- Computer Science Applications 152
- Artificial Intelligence 352
- Information Systems 155
- Developmental and Educational Psychology 56
- Communication 30
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 21 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 61 | |
| 2 | 2010 | 60 | |
| 3 | 2020 | 46 | |
| 4 | 2013 | 41 | |
| 5 | 2001 | 29 | |
| 6 | 2021 | 28 | |
| 7 | 2014 | 28 | |
| 8 | Automatic Concept Relationships Discovery for an Adaptive E-course | 2009 | 25 |
| 9 | 2009 | 19 | |
| 10 | 2018 | 17 | |
| 11 | 2017 | 15 | |
| 12 | 2018 | 14 | |
| 13 | 2016 | 12 | |
| 14 | Supporting Collaborative Web-based Education via Annotations | 2011 | 10 |
| 15 | 2012 | 10 | |
| 16 | 2018 | 9 | |
| 17 | 2019 | 9 | |
| 18 | 2013 | 8 | |
| 19 | 2020 | 8 | |
| 20 | 2023 | 7 |
About Marián Šimko
Marián Šimko is a scholar working on Artificial Intelligence, Information Systems, Computer Science Applications, Computer Networks and Communications and Developmental and Educational Psychology, having authored 50 papers that have together received 529 indexed citations. Recurring topics across this work include Topic Modeling (15 papers), Natural Language Processing Techniques (14 papers), Advanced Text Analysis Techniques (11 papers), Semantic Web and Ontologies (9 papers), Open Education and E-Learning (8 papers), Sentiment Analysis and Opinion Mining (8 papers), Web Data Mining and Analysis (5 papers) and Intelligent Tutoring Systems and Adaptive Learning (5 papers). The work is most often cited by research in Computer Science Applications (152 citations), Artificial Intelligence (352 citations), Information Systems (155 citations), Developmental and Educational Psychology (56 citations) and Communication (30 citations). Marián Šimko has collaborated with scholars based in Slovakia, Germany and Switzerland. Frequent co-authors include Mária Bieliková, Michal Barla, Ivan Srba, Markus Wenger, Regula Markwalder, Ethan Taub, Róbert Móro, Matúš Adamkovič, Marcel Martončik and Vladimı́r Mihál. Their work appears in journals such as Lecture notes in computer science, Expert Systems with Applications, IEEE Transactions on Learning Technologies, World Wide Web and Computers & Education.
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.