Róbert Móro

48 papers receiving 391 citations

Peers

Róbert Móro
Comparison fields: 5 of 62
  • Computer Science Applications 41
  • Human-Computer Interaction 41
  • Communication 46
  • Artificial Intelligence 201
  • Information Systems 119
Replace Jakub Šimko with:
Jakub Šimko Slovakia
Joseph Corneli United Kingdom
Deokgun Park United States
Marcin Skowron Austria
A. Seza Doğruöz Netherlands
Julia Cambre United States
Anshul Vikram Pandey United States
Sha Li China
Shuo Chang United States
Mina Lee United States
Róbert Móro relative to Jakub Šimko Slovakia Jakub Šimko's profile →
Citations per field
00.5×1.6×
Jakub Šimko · 1×
Citations per year

Countries citing papers authored by Róbert Móro

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Róbert Móro Line = papers co-authored together Róbert Móro links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202139
2 202234
3 201634
4 202129
5 201428
6 201227
7 202320
8 201916
9 201815
10 202412
11
Unravelling the basic concepts and intents of misbehavior in post-truth society
201911
12 202211
13
Visualization of Gaze Tracking Data for UX Testing on the Web.
201411
14 202110
15 20148
16 20197
17 20176
18 20116
19 20216
20 20246

About Róbert Móro

Róbert Móro is a scholar working on Human-Computer Interaction, Information Systems, Artificial Intelligence, Experimental and Cognitive Psychology and Sociology and Political Science, having authored 51 papers that have together received 422 indexed citations. Recurring topics across this work include Misinformation and Its Impacts (12 papers), Gaze Tracking and Assistive Technology (9 papers), Web Data Mining and Analysis (6 papers), Advanced Text Analysis Techniques (6 papers), Spam and Phishing Detection (6 papers), Topic Modeling (5 papers), Semantic Web and Ontologies (5 papers) and Information Retrieval and Search Behavior (4 papers). The work is most often cited by research in Computer Science Applications (41 citations), Human-Computer Interaction (41 citations), Communication (46 citations), Artificial Intelligence (201 citations) and Information Systems (119 citations). Róbert Móro has collaborated with scholars based in Slovakia, Czechia and United States. Frequent co-authors include Mária Bieliková, Jakub Šimko, Ivan Srba, Michal Kompan, Marián Šimko, Michal Barla, Marcel Martončik, Dongwon Lee, Matus Adamkovic and Michal Holub. Their work appears in journals such as Computer, Online Information Review, Artificial Intelligence Review, ACM Transactions on Intelligent Systems and Technology 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.

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