Róbert Móro
Impact in
- Human-Computer Interaction top 10%
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- Social Media and Politics
Papers in
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- Advanced Text Analysis Techniques 5
- Topic Modeling 4
- Natural Language Processing Techniques 3
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- Web Data Mining and Analysis 6
- Spam and Phishing Detection 5
- Information Retrieval and Search Behavior 3
- Co-authors
- Mária Bieliková (31 shared papers)Jakub Šimko (15 shared papers)Ivan Srba (16 shared papers)Marián Šimko (1 shared paper)Marcel Martončik (1 shared paper)Michal Kompan (3 shared papers)Matúš Adamkovič (1 shared paper)Dongwon Lee (3 shared papers)
- Journals
- D-Lib Magazine (1 paper)Online Information Review (1 paper)Knowledge and Information Systems (1 paper)Artificial Intelligence Review (1 paper)Complex & Intelligent Systems (1 paper)
- Partner nations
- SlovakiaCzechiaUnited States
In The Last Decade
Róbert Móro
35 papers receiving 260 citations
Peers
Comparison fields: 5 of 55
- Human-Computer Interaction 32
- Communication 34
- Artificial Intelligence 140
- Health Informatics 5
- Information Systems 72
Countries citing papers authored by Róbert Móro
This map shows the geographic impact of Róbert Móro'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 Róbert Móro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Róbert Móro more than expected).
Fields of papers citing papers by Róbert Móro
This network shows the impact of papers produced by Róbert Móro. 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 Róbert Móro. The network helps show where Róbert Móro may publish in the future.
Co-authors
The 25 scholars most cited alongside Róbert Móro, 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 | 2016 | 31 | |
| 2 | 2021 | 27 | |
| 3 | 2022 | 26 | |
| 4 | 2012 | 24 | |
| 5 | 2023 | 15 | |
| 6 | 2018 | 13 | |
| 7 | 2019 | 12 | |
| 8 | 2024 | 11 | |
| 9 | Visualization of Gaze Tracking Data for UX Testing on the Web. | 2014 | 10 |
| 10 | Unravelling the basic concepts and intents of misbehavior in post-truth society | 2019 | 9 |
| 11 | 2022 | 8 | |
| 12 | 2021 | 8 | |
| 13 | 2021 | 6 | |
| 14 | 2019 | 6 | |
| 15 | 2017 | 5 | |
| 16 | 2017 | 5 | |
| 17 | 2017 | 5 | |
| 18 | 2024 | 4 | |
| 19 | User Annotations as a Context for Related Document Search on the Web and Digital Libraries | 2014 | 4 |
| 20 | 2023 | 4 |
About Róbert Móro
Róbert Móro is a scholar working on Artificial Intelligence, Information Systems, Sociology and Political Science, Human-Computer Interaction and Cognitive Neuroscience, having authored 39 papers that have together received 276 indexed citations. Recurring topics across this work include Misinformation and Its Impacts (9 papers), Gaze Tracking and Assistive Technology (9 papers), Web Data Mining and Analysis (6 papers), Spam and Phishing Detection (5 papers), Advanced Text Analysis Techniques (5 papers), Topic Modeling (4 papers), Information Retrieval and Search Behavior (3 papers) and Natural Language Processing Techniques (3 papers). The work is most often cited by research in Human-Computer Interaction (32 citations), Communication (34 citations), Artificial Intelligence (140 citations), Health Informatics (5 citations) and Information Systems (72 citations). Róbert Móro has collaborated with scholars based in Slovakia, Czechia and United States. Frequent co-authors include Mária Bieliková, Jakub Šimko, Ivan Srba, Marián Šimko, Marcel Martončik, Michal Kompan, Matúš Adamkovič, Dongwon Lee, Michal Holub and Pavol Návrat. Their work appears in journals such as D-Lib Magazine, Online Information Review, Knowledge and Information Systems, Artificial Intelligence Review and Complex & Intelligent Systems.
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.