Marián Šimko
-
- Open Education and E-Learning 3
- Artificial Intelligence top 5%
- 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
- Information Systems top 10%
- Spam and Phishing Detection 2
- Co-authors
- Mária BielikováMichal BarlaEthan TaubRegula MarkwalderMarkus WengerRóbert MóroMarcel MartončikMatúš Adamkovič
- Journals
- Computers & Education (1 paper)IEEE Transactions on Learning Technologies (1 paper)Complex & Intelligent Systems (1 paper)
- Partner nations
- SlovakiaUnited StatesGermany
In The Last Decade
Marián Šimko
24 papers receiving 274 citations
Peers
Comparison fields: 5 of 67
- Computer Science Applications 52
- Artificial Intelligence 204
- 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-authorship network
The 12 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 7 | |
| 5 | 2022 | 1 | |
| 6 | 2022 | 1 | |
| 7 | 2021 | 26 | |
| 8 | 2020 | 42 | |
| 9 | 2020 | 2 | |
| 10 | 2018 | 12 | |
| 11 | 2018 | 6 | |
| 12 | 2018 | 5 | |
| 13 | Blog Style Classification: Refining Affective Blogs | 2016 | 1 |
| 14 | 2016 | 11 | |
| 15 | 2012 | 5 | |
| 16 | Lightweight semantics for the "wild Web" | 2011 | 2 |
| 17 | Supporting Collaborative Web-based Education via Annotations | 2011 | 8 |
| 18 | 2010 | 43 | |
| 19 | Automatic Concept Relationships Discovery for an Adaptive E-course | 2009 | 18 |
| 20 | 2001 | 26 |
About Marián Šimko
Marián Šimko is a scholar working on Artificial Intelligence, Computer Science Applications, Information Systems, Transportation and Computer Networks and Communications, having authored 27 papers that have together received 294 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), Intelligent Tutoring Systems and Adaptive Learning (3 papers), Open Education and E-Learning (3 papers) and Spam and Phishing Detection (2 papers). The work is most often cited by research in Computer Science Applications (52 citations), Artificial Intelligence (204 citations), Information Systems (76 citations), Communication (19 citations) and Developmental and Educational Psychology (15 citations). Marián Šimko has collaborated with scholars based in Slovakia, United States and Germany. Frequent co-authors include Mária Bieliková, Michal Barla, Ethan Taub, Regula Markwalder, Markus Wenger, Róbert Móro, Marcel Martončik, Matúš Adamkovič, Ivan Srba and Johan Van Goethem. Their work appears in journals such as Computers & Education, IEEE Transactions on Learning Technologies, Complex & Intelligent Systems, World Wide Web and Expert Systems with Applications.
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.