Ivan Srba
Impact in
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- Mobile Crowdsensing and Crowdsourcing
- Online Learning and Analytics
- Information Systems top 2%
- Expert finding and Q&A systems
- Recommender Systems and Techniques
Papers in
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- Mobile Crowdsensing and Crowdsourcing 8
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- Topic Modeling 11
- Hate Speech and Cyberbullying Detection 4
- Natural Language Processing Techniques 4
- Co-authors
- Mária Bieliková (38 shared papers)Róbert Móro (21 shared papers)Jakub Šimko (12 shared papers)Michal Kompan (5 shared papers)Marián Šimko (3 shared papers)Cesare Pautasso (1 shared paper)Mirjana Drenovak Ivanović (1 shared paper)Peter Babinec (1 shared paper)
- Journals
- ACM Computing Surveys (1 paper)IEEE Software (1 paper)Computers & Education (1 paper)Computer (1 paper)Online Information Review (1 paper)
- Partner nations
- SlovakiaCzechiaUnited States
In The Last Decade
Ivan Srba
44 papers receiving 598 citations
Peers
Comparison fields: 5 of 63
- Computer Science Applications 203
- Information Systems 314
- Communication 83
- Artificial Intelligence 332
- Developmental and Educational Psychology 89
Countries citing papers authored by Ivan Srba
This map shows the geographic impact of Ivan Srba'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 Ivan Srba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Srba more than expected).
Fields of papers citing papers by Ivan Srba
This network shows the impact of papers produced by Ivan Srba. 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 Ivan Srba. The network helps show where Ivan Srba may publish in the future.
Co-authors
The 25 scholars most cited alongside Ivan Srba, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 117 | |
| 2 | 2014 | 69 | |
| 3 | 2016 | 51 | |
| 4 | 2021 | 39 | |
| 5 | 2022 | 34 | |
| 6 | 2021 | 29 | |
| 7 | 2014 | 28 | |
| 8 | 2015 | 21 | |
| 9 | 2019 | 21 | |
| 10 | 2023 | 20 | |
| 11 | 2015 | 20 | |
| 12 | 2016 | 18 | |
| 13 | 2017 | 16 | |
| 14 | 2024 | 12 | |
| 15 | Unravelling the basic concepts and intents of misbehavior in post-truth society | 2019 | 11 |
| 16 | 2022 | 11 | |
| 17 | 2021 | 10 | |
| 18 | 2024 | 9 | |
| 19 | 2010 | 8 | |
| 20 | 2017 | 8 |
About Ivan Srba
Ivan Srba is a scholar working on Computer Science Applications, Artificial Intelligence, Information Systems, Sociology and Political Science and Developmental and Educational Psychology, having authored 52 papers that have together received 634 indexed citations. Recurring topics across this work include Misinformation and Its Impacts (14 papers), Topic Modeling (11 papers), Expert finding and Q&A systems (9 papers), Mobile Crowdsensing and Crowdsourcing (8 papers), Spam and Phishing Detection (6 papers), Innovative Teaching and Learning Methods (5 papers), Hate Speech and Cyberbullying Detection (4 papers) and Natural Language Processing Techniques (4 papers). The work is most often cited by research in Computer Science Applications (203 citations), Information Systems (314 citations), Communication (83 citations), Artificial Intelligence (332 citations) and Developmental and Educational Psychology (89 citations). Ivan Srba has collaborated with scholars based in Slovakia, Czechia and United States. Frequent co-authors include Mária Bieliková, Róbert Móro, Jakub Šimko, Michal Kompan, Marián Šimko, Cesare Pautasso, Mirjana Drenovak Ivanović, Peter Babinec, Miloš Savić and Michal Barla. Their work appears in journals such as ACM Computing Surveys, IEEE Software, Computers & Education, Computer 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.