Andras Rozsa

10 papers and 365 indexed citations i.

About

Andras Rozsa is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Andras Rozsa has authored 10 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 2 papers in Signal Processing. Recurrent topics in Andras Rozsa’s work include Adversarial Robustness in Machine Learning (7 papers), Face recognition and analysis (3 papers) and Digital Media Forensic Detection (3 papers). Andras Rozsa is often cited by papers focused on Adversarial Robustness in Machine Learning (7 papers), Face recognition and analysis (3 papers) and Digital Media Forensic Detection (3 papers). Andras Rozsa collaborates with scholars based in United States. Andras Rozsa's co-authors include Terrance E. Boult, Ethan M. Rudd, Manuel Günther and Zheng Zhong and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, Pattern Recognition Letters and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Andras Rozsa i

Fields of papers citing papers by Andras Rozsa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Andras Rozsa

Since Specialization
Citations

This map shows the geographic impact of Andras Rozsa'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 Andras Rozsa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andras Rozsa 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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2025