Alina Oprea

42 papers and 1.1k indexed citations i.

About

Alina Oprea is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Alina Oprea has authored 42 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 15 papers in Computer Networks and Communications and 13 papers in Information Systems. Recurrent topics in Alina Oprea’s work include Adversarial Robustness in Machine Learning (19 papers), Advanced Malware Detection Techniques (12 papers) and Network Security and Intrusion Detection (11 papers). Alina Oprea is often cited by papers focused on Adversarial Robustness in Machine Learning (19 papers), Advanced Malware Detection Techniques (12 papers) and Network Security and Intrusion Detection (11 papers). Alina Oprea collaborates with scholars based in United States, Mexico and Italy. Alina Oprea's co-authors include Ari Juels, Matthew Jagielski, Cristina Nita-Rotaru, Battista Biggio, Bo Li, Chang Liu, Michael K. Reiter, Marten van Dijk, Ronald L. Rivest and Yinqian Zhang and has published in prestigious journals such as Communications of the ACM, ACM Computing Surveys and Computer.

In The Last Decade

Co-authorship network of co-authors of Alina Oprea i

Fields of papers citing papers by Alina Oprea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Alina Oprea

Since Specialization
Citations

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