Paweł Ksieniewicz

About

Paweł Ksieniewicz is a scholar working on Artificial Intelligence, Sociology and Political Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Paweł Ksieniewicz has authored 30 papers receiving a total of 272 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 5 papers in Sociology and Political Science and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Paweł Ksieniewicz’s work include Adaptation to Concept Drift in Data Streams (13 papers), Machine Learning and Data Classification (11 papers) and Anomaly Detection Techniques and Applications (11 papers). Paweł Ksieniewicz is often cited by papers focused on Adaptation to Concept Drift in Data Streams (13 papers), Machine Learning and Data Classification (11 papers) and Anomaly Detection Techniques and Applications (11 papers). Paweł Ksieniewicz collaborates with scholars based in Poland, Spain and United States. Paweł Ksieniewicz's co-authors include Michał Woźniak, Michał Choraś, Salvador García, Katarzyna Sta̧por, Krzysztof Walkowiak, Álvaro Herrero, Daniel Urda, Konstantinos Demestichas, Andrzej Kasprzak and Bogusław Cyganek and has published in prestigious journals such as PLoS ONE, IEEE Access and Information Sciences.

In The Last Decade

Co-authorship network of co-authors of Paweł Ksieniewicz i

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Fields of papers citing papers by Paweł Ksieniewicz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Paweł Ksieniewicz

Since Specialization

Citations

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