Maura Pintor

About

Maura Pintor is a scholar working on Artificial Intelligence, Hardware and Architecture and Computer Vision and Pattern Recognition. According to data from OpenAlex, Maura Pintor has authored 19 papers receiving a total of 120 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 6 papers in Hardware and Architecture and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Maura Pintor’s work include Adversarial Robustness in Machine Learning (16 papers), Anomaly Detection Techniques and Applications (7 papers) and Advanced Malware Detection Techniques (4 papers). Maura Pintor is often cited by papers focused on Adversarial Robustness in Machine Learning (16 papers), Anomaly Detection Techniques and Applications (7 papers) and Advanced Malware Detection Techniques (4 papers). Maura Pintor collaborates with scholars based in Italy, Austria and Switzerland. Maura Pintor's co-authors include Battista Biggio, Ambra Demontis, Fabio Roli, Marco Melis, Alina Oprea, Cristina Nita-Rotaru, Matthew Jagielski, Luca Demetrio, Gelei Deng and Yisroel Mirsky and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Information Sciences and Pattern Recognition.

In The Last Decade

Co-authorship network of co-authors of Maura Pintor i

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Fields of papers citing papers by Maura Pintor

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maura Pintor

Since Specialization

Citations

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