Karol Gregor

21 papers and 1.9k indexed citations i.

About

Karol Gregor is a scholar working on Artificial Intelligence, Condensed Matter Physics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Karol Gregor has authored 21 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 7 papers in Condensed Matter Physics and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Karol Gregor’s work include Advanced Condensed Matter Physics (6 papers), Physics of Superconductivity and Magnetism (6 papers) and Generative Adversarial Networks and Image Synthesis (5 papers). Karol Gregor is often cited by papers focused on Advanced Condensed Matter Physics (6 papers), Physics of Superconductivity and Magnetism (6 papers) and Generative Adversarial Networks and Image Synthesis (5 papers). Karol Gregor collaborates with scholars based in United States, United Kingdom and Burundi. Karol Gregor's co-authors include Yann LeCun, Daan Wierstra, Ivo Danihelka, Danilo Jimenez Rezende, Alex Graves, S. L. Sondhi, Roderich Moessner, Sergei V. Isakov, Y. Le Cun and Andriy Mnih and has published in prestigious journals such as Physical Review Letters, Physical Review B and New Journal of Physics.

In The Last Decade

Co-authorship network of co-authors of Karol Gregor i

Fields of papers citing papers by Karol Gregor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Karol Gregor

Since Specialization
Citations

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