Ivan Habernal
Impact in
- Artificial Intelligence top 2%
- Topic Modeling
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Natural Language Processing Techniques
- Multi-Agent Systems and Negotiation
- Hate Speech and Cyberbullying Detection
- Information Systems top 5%
- Software Engineering Research
Papers in
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- Topic Modeling 20
- Natural Language Processing Techniques 16
- Privacy-Preserving Technologies in Data 8
- Sentiment Analysis and Opinion Mining 6
- Advanced Text Analysis Techniques 6
- Multi-Agent Systems and Negotiation 5
- Semantic Web and Ontologies 5
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- Software Engineering Research 4
- Co-authors
- Iryna Gurevych (14 shared papers)Josef Steinberger (3 shared papers)Jun Hong (1 shared paper)Miloslav Konopík (7 shared papers)Tomáš Brychcín (2 shared papers)Judith Eckle‐Kohler (2 shared papers)Benno Stein (3 shared papers)Henning Wachsmuth (3 shared papers)
In The Last Decade
Ivan Habernal
42 papers receiving 780 citations
Peers
Comparison fields: 5 of 62
- Artificial Intelligence 777
- Information Systems 218
- Communication 38
- General Social Sciences 10
- Health Informatics 4
Countries citing papers authored by Ivan Habernal
This map shows the geographic impact of Ivan Habernal'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 Habernal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Habernal more than expected).
Fields of papers citing papers by Ivan Habernal
This network shows the impact of papers produced by Ivan Habernal. 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 Habernal. The network helps show where Ivan Habernal may publish in the future.
Co-authors
The 25 scholars most cited alongside Ivan Habernal, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 132 | |
| 2 | Sarcasm Detection on Czech and English Twitter | 2014 | 130 |
| 3 | 2016 | 71 | |
| 4 | 2014 | 64 | |
| 5 | Sentiment Analysis in Czech Social Media Using Supervised Machine Learning | 2013 | 60 |
| 6 | 2015 | 50 | |
| 7 | Argumentation Mining on the Web from Information Seeking Perspective | 2014 | 42 |
| 8 | 2012 | 39 | |
| 9 | 2017 | 38 | |
| 10 | 2023 | 23 | |
| 11 | Unsupervised Improving of Sentiment Analysis Using Global Target Context | 2013 | 22 |
| 12 | 2018 | 22 | |
| 13 | 2015 | 22 | |
| 14 | 2016 | 17 | |
| 15 | 2013 | 16 | |
| 16 | 2018 | 16 | |
| 17 | 2023 | 11 | |
| 18 | 2016 | 8 | |
| 19 | 2022 | 7 | |
| 20 | The Argument Reasoning Comprehension Task. | 2017 | 6 |
About Ivan Habernal
Ivan Habernal is a scholar working on Artificial Intelligence, Information Systems, Political Science and International Relations, Law and Sociology and Political Science, having authored 44 papers that have together received 860 indexed citations. Recurring topics across this work include Topic Modeling (20 papers), Natural Language Processing Techniques (16 papers), Privacy-Preserving Technologies in Data (8 papers), Sentiment Analysis and Opinion Mining (6 papers), Advanced Text Analysis Techniques (6 papers), Multi-Agent Systems and Negotiation (5 papers), Semantic Web and Ontologies (5 papers) and Software Engineering Research (4 papers). The work is most often cited by research in Artificial Intelligence (777 citations), Information Systems (218 citations), Communication (38 citations), General Social Sciences (10 citations) and Health Informatics (4 citations). Ivan Habernal has collaborated with scholars based in Germany, Czechia and China. Frequent co-authors include Iryna Gurevych, Josef Steinberger, Jun Hong, Miloslav Konopík, Tomáš Brychcín, Judith Eckle‐Kohler, Benno Stein, Henning Wachsmuth, Graeme Hirst and Nona Naderi. Their work appears in journals such as Language Resources and Evaluation, Information Processing & Management, Artificial Intelligence and Law, Expert Systems with Applications and ACM Computing Surveys.
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.