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).
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-authorship network of co-authors of Ivan Habernal
This figure shows the co-authorship network connecting the top 25 collaborators of Ivan Habernal.
A scholar is included among the top collaborators of Ivan Habernal based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Ivan Habernal. Ivan Habernal is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Habernal, Ivan, et al.. (2018). Adapting Serious Game for Fallacious Argumentation to German: Pitfalls, Insights, and Best Practices. Language Resources and Evaluation.20 indexed citations
Eckle‐Kohler, Judith, et al.. (2016). Crowdsourcing a Large Dataset of Domain-Specific Context-Sensitive Semantic Verb Relations. Language Resources and Evaluation. 2131–2137.5 indexed citations
15.
Habernal, Ivan, et al.. (2016). C4Corpus: Multilingual Web-size Corpus with Free License. Language Resources and Evaluation. 914–922.11 indexed citations
16.
Habernal, Ivan, et al.. (2014). Sarcasm Detection on Czech and English Twitter. UWE Research Repository (UWE Bristol). 213–223.115 indexed citations
17.
Habernal, Ivan, et al.. (2013). Sentiment Analysis in Czech Social Media Using Supervised Machine Learning. North American Chapter of the Association for Computational Linguistics. 65–74.48 indexed citations
18.
Brychcín, Tomáš & Ivan Habernal. (2013). Unsupervised Improving of Sentiment Analysis Using Global Target Context. Recent Advances in Natural Language Processing. 122–128.19 indexed citations
Habernal, Ivan & Miloslav Konopík. (2010). On the Way towards Standardized Semantic Corpora for Development of Semantic Analysis Systems. 96–99.1 indexed citations
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.