Filip Hanzely

10 papers and 58 indexed citations i.

About

Filip Hanzely is a scholar working on Artificial Intelligence, Computational Mechanics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Filip Hanzely has authored 10 papers receiving a total of 58 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Computational Mechanics and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Filip Hanzely’s work include Stochastic Gradient Optimization Techniques (6 papers), Sparse and Compressive Sensing Techniques (5 papers) and Remote-Sensing Image Classification (2 papers). Filip Hanzely is often cited by papers focused on Stochastic Gradient Optimization Techniques (6 papers), Sparse and Compressive Sensing Techniques (5 papers) and Remote-Sensing Image Classification (2 papers). Filip Hanzely collaborates with scholars based in Saudi Arabia, United Kingdom and Canada. Filip Hanzely's co-authors include Peter Richtárik, Anna Krakovská, Lin Xiao, Konstantin Mishchenko, Jingwei Liang, Yurii Nesterov, Samuel Horváth and Dmitry Kovalev and has published in prestigious journals such as IEEE Transactions on Signal Processing, Physical review. E and Computational Optimization and Applications.

In The Last Decade

Co-authorship network of co-authors of Filip Hanzely i

Fields of papers citing papers by Filip Hanzely

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Filip Hanzely

Since Specialization
Citations

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