Kacper Sokol

17 papers and 188 indexed citations i.

About

Kacper Sokol is a scholar working on Artificial Intelligence, Health Informatics and Safety Research. According to data from OpenAlex, Kacper Sokol has authored 17 papers receiving a total of 188 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 4 papers in Health Informatics and 3 papers in Safety Research. Recurrent topics in Kacper Sokol’s work include Explainable Artificial Intelligence (XAI) (12 papers), Adversarial Robustness in Machine Learning (8 papers) and Artificial Intelligence in Healthcare and Education (4 papers). Kacper Sokol is often cited by papers focused on Explainable Artificial Intelligence (XAI) (12 papers), Adversarial Robustness in Machine Learning (8 papers) and Artificial Intelligence in Healthcare and Education (4 papers). Kacper Sokol collaborates with scholars based in United Kingdom, Australia and Switzerland. Kacper Sokol's co-authors include Peter Flach, Raúl Santos‐Rodríguez, Matthew Clifford, Martin Gjoreski, Tom Diethe, Michael W.R. Holmes, Hao Song, Emma Tonkin, Marc Langheinrich and Meelis Kull and has published in prestigious journals such as Machine Learning, International Journal of Human-Computer Studies and Data Mining and Knowledge Discovery.

In The Last Decade

Co-authorship network of co-authors of Kacper Sokol i

Fields of papers citing papers by Kacper Sokol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kacper Sokol

Since Specialization
Citations

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