Matus Telgarsky

17 papers and 461 indexed citations i.

About

Matus Telgarsky is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Matus Telgarsky has authored 17 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Matus Telgarsky’s work include Stochastic Gradient Optimization Techniques (6 papers), Sparse and Compressive Sensing Techniques (3 papers) and Machine Learning and Algorithms (3 papers). Matus Telgarsky is often cited by papers focused on Stochastic Gradient Optimization Techniques (6 papers), Sparse and Compressive Sensing Techniques (3 papers) and Machine Learning and Algorithms (3 papers). Matus Telgarsky collaborates with scholars based in United States, United Kingdom and The Netherlands. Matus Telgarsky's co-authors include Daniel Hsu, Sham M. Kakade, Rong Ge, Animashree Anandkumar, Ziwei Ji, Andrea Vattani, Sanjoy Dasgupta, Alexander Rakhlin, Maxim Raginsky and Miroslav Dudı́k and has published in prestigious journals such as Journal of Machine Learning Research, arXiv (Cornell University) and Neural Information Processing Systems.

In The Last Decade

Co-authorship network of co-authors of Matus Telgarsky i

Fields of papers citing papers by Matus Telgarsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Matus Telgarsky

Since Specialization
Citations

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