Tamás Sarlós

About

Tamás Sarlós is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Tamás Sarlós has authored 16 papers receiving a total of 606 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Computational Mechanics. Recurrent topics in Tamás Sarlós’s work include Stochastic Gradient Optimization Techniques (3 papers), Sparse and Compressive Sensing Techniques (3 papers) and Face and Expression Recognition (3 papers). Tamás Sarlós is often cited by papers focused on Stochastic Gradient Optimization Techniques (3 papers), Sparse and Compressive Sensing Techniques (3 papers) and Face and Expression Recognition (3 papers). Tamás Sarlós collaborates with scholars based in United States, United Kingdom and Hungary. Tamás Sarlós's co-authors include Quoc V. Le, Michael W. Mahoney, Petros Drineas, S. Muthukrishnan, Alex Smola, Károly Csalogány, Dániel Fogaras, Balázs Rácz, Alexander J. Smola and Ravi Kumar and has published in prestigious journals such as Numerische Mathematik, Internet Mathematics and DSpace@MIT (Massachusetts Institute of Technology).

In The Last Decade

Co-authorship network of co-authors of Tamás Sarlós i

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Fields of papers citing papers by Tamás Sarlós

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tamás Sarlós

Since Specialization

Citations

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