Daniel Zeman

41 papers and 1.1k indexed citations i.

About

Daniel Zeman is a scholar working on Artificial Intelligence, Molecular Biology and Language and Linguistics. According to data from OpenAlex, Daniel Zeman has authored 41 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 4 papers in Molecular Biology and 4 papers in Language and Linguistics. Recurrent topics in Daniel Zeman’s work include Natural Language Processing Techniques (39 papers), Topic Modeling (33 papers) and Semantic Web and Ontologies (8 papers). Daniel Zeman is often cited by papers focused on Natural Language Processing Techniques (39 papers), Topic Modeling (33 papers) and Semantic Web and Ontologies (8 papers). Daniel Zeman collaborates with scholars based in Czechia, United States and Sweden. Daniel Zeman's co-authors include Christopher D. Manning, Marie-Catherine de Marneffe, Jan Hajič, Philip Resnik, Filip Ginter, Joakim Nivre, Stephan Oepen, Sampo Pyysalo, Ryan McDonald and Yoav Goldberg and has published in prestigious journals such as Computational Linguistics, Language Resources and Evaluation and Data Archiving and Networked Services (DANS).

In The Last Decade

Co-authorship network of co-authors of Daniel Zeman i

Fields of papers citing papers by Daniel Zeman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Zeman. 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 Daniel Zeman. The network helps show where Daniel Zeman may publish in the future.

Countries citing papers authored by Daniel Zeman

Since Specialization
Citations

This map shows the geographic impact of Daniel Zeman'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 Daniel Zeman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Zeman more than expected).

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.

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