Kamil Kanclerz

8 papers and 317 indexed citations i.

About

Kamil Kanclerz is a scholar working on Artificial Intelligence, Sociology and Political Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kamil Kanclerz has authored 8 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 1 paper in Sociology and Political Science and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Kamil Kanclerz’s work include Topic Modeling (5 papers), Sentiment Analysis and Opinion Mining (4 papers) and Hate Speech and Cyberbullying Detection (3 papers). Kamil Kanclerz is often cited by papers focused on Topic Modeling (5 papers), Sentiment Analysis and Opinion Mining (4 papers) and Hate Speech and Cyberbullying Detection (3 papers). Kamil Kanclerz collaborates with scholars based in Poland. Kamil Kanclerz's co-authors include Jan Kocoń, Piotr Miłkowski, Julita Bielaniewicz, Przemysław Kazienko, Marcin Gruza, Marcin Oleksy, Stanisław Woźniak, Joanna Baran, Bartłomiej Koptyra and Łukasz Radliński and has published in prestigious journals such as Information Fusion, arXiv (Cornell University) and Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.

In The Last Decade

Co-authorship network of co-authors of Kamil Kanclerz i

Fields of papers citing papers by Kamil Kanclerz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kamil Kanclerz

Since Specialization
Citations

This map shows the geographic impact of Kamil Kanclerz'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 Kamil Kanclerz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kamil Kanclerz 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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2025