Krzysztof Chalupka

About

Krzysztof Chalupka is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cellular and Molecular Neuroscience. According to data from OpenAlex, Krzysztof Chalupka has authored 5 papers receiving a total of 178 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Krzysztof Chalupka’s work include Domain Adaptation and Few-Shot Learning (2 papers), Machine Learning and Algorithms (2 papers) and Machine Learning and Data Classification (2 papers). Krzysztof Chalupka is often cited by papers focused on Domain Adaptation and Few-Shot Learning (2 papers), Machine Learning and Algorithms (2 papers) and Machine Learning and Data Classification (2 papers). Krzysztof Chalupka collaborates with scholars based in United States, United Kingdom and Germany. Krzysztof Chalupka's co-authors include Pietro Perona, Iain Murray, Christopher K. I. Williams, Frederick Eberhardt, Biagio Brattoli, Joseph Tighe, Fedor Zhdanov and Michael H. Dickinson and has published in prestigious journals such as Journal of Machine Learning Research, Bioinspiration & Biomimetics and Behaviormetrika.

In The Last Decade

Co-authorship network of co-authors of Krzysztof Chalupka i

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Fields of papers citing papers by Krzysztof Chalupka

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Krzysztof Chalupka

Since Specialization

Citations

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