Mantas Mazeika

About

Mantas Mazeika is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Mantas Mazeika has authored 5 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Computer Networks and Communications. Recurrent topics in Mantas Mazeika’s work include Anomaly Detection Techniques and Applications (4 papers), Adversarial Robustness in Machine Learning (3 papers) and Explainable Artificial Intelligence (XAI) (2 papers). Mantas Mazeika is often cited by papers focused on Anomaly Detection Techniques and Applications (4 papers), Adversarial Robustness in Machine Learning (3 papers) and Explainable Artificial Intelligence (XAI) (2 papers). Mantas Mazeika collaborates with scholars based in United States. Mantas Mazeika's co-authors include Dan Hendrycks, Dawn Song, Thomas G. Dietterich, Jacob Steinhardt, Andy Zou, Steven Basart, Saurav Kadavath, Collin Burns, Bo Li and Mohammadreza Mostajabi and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), arXiv (Cornell University) and Neural Information Processing Systems.

In The Last Decade

Co-authorship network of co-authors of Mantas Mazeika i

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Fields of papers citing papers by Mantas Mazeika

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mantas Mazeika

Since Specialization

Citations

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