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
-
- Topic Modeling 16
- Natural Language Processing Techniques 12
- Privacy-Preserving Technologies in Data 8
- Multi-Agent Systems and Negotiation 5
- Sentiment Analysis and Opinion Mining 5
- Advanced Text Analysis Techniques 5
- Co-authors
- Iryna GurevychJosef SteinbergerJun HongMiloslav KonopíkJudith Eckle‐KohlerTomáš BrychcínHenning WachsmuthBenno Stein
In The Last Decade
Ivan Habernal
35 papers receiving 636 citations
Peers
Comparison fields: 5 of 54
- Artificial Intelligence 638
- Information Systems 178
- Communication 32
- Health Informatics 4
- General Social Sciences 8
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 16 | |
| 7 | 2023 | 3 | |
| 8 | 2022 | 3 | |
| 9 | 2022 | 6 | |
| 10 | 2022 | 1 | |
| 11 | Adapting Serious Game for Fallacious Argumentation to German: Pitfalls, Insights, and Best Practices | 2018 | 20 |
| 12 | The Argument Reasoning Comprehension Task. | 2017 | 6 |
| 13 | 2017 | 27 | |
| 14 | C4Corpus: Multilingual Web-size Corpus with Free License | 2016 | 11 |
| 15 | Crowdsourcing a Large Dataset of Domain-Specific Context-Sensitive Semantic Verb Relations | 2016 | 5 |
| 16 | 2016 | 67 | |
| 17 | Sarcasm Detection on Czech and English Twitter | 2014 | 115 |
| 18 | Unsupervised Improving of Sentiment Analysis Using Global Target Context | 2013 | 19 |
| 19 | Sentiment Analysis in Czech Social Media Using Supervised Machine Learning | 2013 | 48 |
| 20 | 2011 | 5 |
About Ivan Habernal
Ivan Habernal is a scholar working on Artificial Intelligence, Computer Science Applications, Law, Information Systems and Political Science and International Relations, having authored 38 papers that have together received 702 indexed citations. Recurring topics across this work include Topic Modeling (16 papers), Natural Language Processing Techniques (12 papers), Privacy-Preserving Technologies in Data (8 papers), Multi-Agent Systems and Negotiation (5 papers), Sentiment Analysis and Opinion Mining (5 papers), Advanced Text Analysis Techniques (5 papers), Software Engineering Research (4 papers) and Artificial Intelligence in Law (3 papers). The work is most often cited by research in Artificial Intelligence (638 citations), Information Systems (178 citations), Communication (32 citations), Health Informatics (4 citations) and General Social Sciences (8 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, Judith Eckle‐Kohler, Tomáš Brychcín, Henning Wachsmuth, Benno Stein, Václav Matoušek and Graeme Hirst. Their work appears in journals such as Language Resources and Evaluation, Information Processing & Management, Computational Linguistics, Expert Systems with Applications and Artificial Intelligence and Law.
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.