Vasilis Syrgkanis

About

Vasilis Syrgkanis is a scholar working on Artificial Intelligence, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Vasilis Syrgkanis has authored 9 papers receiving a total of 64 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 4 papers in Signal Processing and 2 papers in Computer Networks and Communications. Recurrent topics in Vasilis Syrgkanis’s work include Blind Source Separation Techniques (4 papers), Machine Learning and Algorithms (3 papers) and Adversarial Robustness in Machine Learning (2 papers). Vasilis Syrgkanis is often cited by papers focused on Blind Source Separation Techniques (4 papers), Machine Learning and Algorithms (3 papers) and Adversarial Robustness in Machine Learning (2 papers). Vasilis Syrgkanis collaborates with scholars based in United States and India. Vasilis Syrgkanis's co-authors include Constantinos Daskalakis, Haoyang Zeng, Andrew Ilyas, Annie Liang, Lester Mackey, Miroslav Dudı́k, Samuel A. Funt, Alexandra Snyder, Scott S. Hsieh and Geneviève Patterson and has published in prestigious journals such as PLoS ONE, arXiv (Cornell University) and International Conference on Learning Representations.

In The Last Decade

Co-authorship network of co-authors of Vasilis Syrgkanis i

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Fields of papers citing papers by Vasilis Syrgkanis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Vasilis Syrgkanis

Since Specialization

Citations

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