Róbert Móro

576 citations
38 papers · 267 · h-index 10

Impact in

Papers in

    • Advanced Text Analysis Techniques 5
    • Topic Modeling 4
    • Natural Language Processing Techniques 3
    • Semantic Web and Ontologies 3
    • Web Data Mining and Analysis 6
    • Spam and Phishing Detection 5

Róbert Móro

35 papers receiving 251 citations

Peers

Róbert Móro
Comparison fields: 5 of 54
  • Human-Computer Interaction 32
  • Communication 34
  • Artificial Intelligence 137
  • Health Informatics 5
  • Information Systems 71
Replace Jakub Šimko with:
Jakub Šimko Slovakia
Jesse David Dinneen Germany
A. Seza Doğruöz Netherlands
Lorenzo Gatti Italy
Kristen Greene United States
Sha Li China
Alkım Almila Akdağ Salah Netherlands
Mari‐Carmen Marcos Spain
Mark G. Core United States
Marcin Skowron Austria
Róbert Móro relative to Jakub Šimko Slovakia Jakub Šimko's profile →
Citations per field
00.5×1.5×1.9×
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 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201631
2 202126
3 202225
4 201224
5 202314
6 201813
7 201912
8 202411
9
Visualization of Gaze Tracking Data for UX Testing on the Web.
201410
10
Unravelling the basic concepts and intents of misbehavior in post-truth society
20199
11 20218
12 20227
13 20216
14 20196
15 20175
16 20175
17
Utilizing Gaze Data in Learning: From Reading Patterns Detection to Personalization
20154
18 20234
19
User Annotations as a Context for Related Document Search on the Web and Digital Libraries
20144
20 20114

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 38 papers that have together received 267 indexed citations. Recurring topics across this work include Gaze Tracking and Assistive Technology (9 papers), Misinformation and Its Impacts (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), Natural Language Processing Techniques (3 papers) and Semantic Web and Ontologies (3 papers). The work is most often cited by research in Human-Computer Interaction (32 citations), Communication (34 citations), Artificial Intelligence (137 citations), Health Informatics (5 citations) and Information Systems (71 citations). Róbert Móro has collaborated with scholars based in Slovakia, Czechia and United Kingdom. Frequent co-authors include Mária Bieliková, Jakub Šimko, Ivan Srba, Marián Šimko, Marcel Martončik, Matúš Adamkovič, Michal Kompan, Michal Holub, Dongwon Lee and Martin Kanovský. Their work appears in journals such as D-Lib Magazine, Complex & Intelligent Systems, ACM Transactions on Intelligent Systems and Technology, Artificial Intelligence Review and Online Information Review.

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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