Jakub Šimko
Impact in
- Computer Science Applications top 10%
- Mobile Crowdsensing and Crowdsourcing
- Human-Computer Interaction top 10%
- Gaze Tracking and Assistive Technology
Papers in
-
- Topic Modeling 5
- Semantic Web and Ontologies 4
-
- Misinformation and Its Impacts 7
- Co-authors
- Mária Bieliková (26 shared papers)Róbert Móro (15 shared papers)Ivan Srba (10 shared papers)Peter Brusilovsky (3 shared papers)Michal Kompan (4 shared papers)Dongwon Lee (2 shared papers)Pavol Návrat (1 shared paper)Thái Hoàng Lê (1 shared paper)
- Journals
- International Journal on Semantic Web and Information Systems (1 paper)Multimedia Tools and Applications (1 paper)International Journal of Human-Computer Studies (1 paper)Journal of Eye Movement Research (1 paper)DIAL (Catholic University of Leuven) (1 paper)
- Partner nations
- SlovakiaCzechiaUnited States
In The Last Decade
Jakub Šimko
30 papers receiving 213 citations
Peers
Comparison fields: 5 of 47
- Computer Science Applications 40
- Human-Computer Interaction 26
- Health Informatics 5
- Artificial Intelligence 89
- Communication 18
Countries citing papers authored by Jakub Šimko
This map shows the geographic impact of Jakub 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 Jakub Šimko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jakub Šimko more than expected).
Fields of papers citing papers by Jakub Šimko
This network shows the impact of papers produced by Jakub 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 Jakub Šimko. The network helps show where Jakub Šimko may publish in the future.
Co-authors
The 11 scholars most cited alongside Jakub 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 31 | |
| 2 | 2022 | 26 | |
| 3 | 2023 | 15 | |
| 4 | 2023 | 14 | |
| 5 | 2018 | 13 | |
| 6 | 2019 | 12 | |
| 7 | Unravelling the basic concepts and intents of misbehavior in post-truth society | 2019 | 9 |
| 8 | 2011 | 9 | |
| 9 | 2022 | 8 | |
| 10 | 2021 | 8 | |
| 11 | 2012 | 8 | |
| 12 | 2017 | 7 | |
| 13 | 2013 | 6 | |
| 14 | 2014 | 6 | |
| 15 | 2019 | 6 | |
| 16 | 2010 | 5 | |
| 17 | 2017 | 5 | |
| 18 | 2011 | 4 | |
| 19 | 2023 | 4 | |
| 20 | 2012 | 4 |
About Jakub Šimko
Jakub Šimko is a scholar working on Artificial Intelligence, Sociology and Political Science, Computer Vision and Pattern Recognition, Computer Science Applications and Information Systems, having authored 32 papers that have together received 225 indexed citations. Recurring topics across this work include Misinformation and Its Impacts (7 papers), Mobile Crowdsensing and Crowdsourcing (7 papers), Topic Modeling (5 papers), Gaze Tracking and Assistive Technology (5 papers), Spam and Phishing Detection (4 papers), Semantic Web and Ontologies (4 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Data Visualization and Analytics (3 papers). The work is most often cited by research in Computer Science Applications (40 citations), Human-Computer Interaction (26 citations), Health Informatics (5 citations), Artificial Intelligence (89 citations) and Communication (18 citations). Jakub Šimko has collaborated with scholars based in Slovakia, Czechia and United States. Frequent co-authors include Mária Bieliková, Róbert Móro, Ivan Srba, Peter Brusilovsky, Michal Kompan, Dongwon Lee, Pavol Návrat, Thái Hoàng Lê, Cesare Pautasso and Cristina Conati. Their work appears in journals such as International Journal on Semantic Web and Information Systems, Multimedia Tools and Applications, International Journal of Human-Computer Studies, Journal of Eye Movement Research and DIAL (Catholic University of Leuven).
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.