Eva Maia

18 papers and 243 indexed citations
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About

Eva Maia is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Eva Maia has authored 18 papers receiving a total of 243 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 6 papers in Computer Networks and Communications and 5 papers in Signal Processing. Recurrent topics in Eva Maia’s work include Network Security and Intrusion Detection (6 papers), Advanced Malware Detection Techniques (4 papers) and Adversarial Robustness in Machine Learning (3 papers). Eva Maia is often cited by papers focused on Network Security and Intrusion Detection (6 papers), Advanced Malware Detection Techniques (4 papers) and Adversarial Robustness in Machine Learning (3 papers). Eva Maia collaborates with scholars based in Portugal, Germany and France. Eva Maia's co-authors include Isabel Praça, Adrien Bécue, Orlando Sousa, João Vitorino, Artemisa R. Dores, Rogério Reis, António Marques, Nelma Moreira, Irene P. Carvalho and Carlos Felgueiras and has published in prestigious journals such as Nutrients, Sensors and Applied Sciences.

In The Last Decade

Co-authorship network of co-authors of Eva Maia

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Maia. A scholar is included among the top collaborators of Eva Maia based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eva Maia. Eva Maia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Fields of papers citing papers by Eva Maia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Eva Maia

Since Specialization
Citations

This map shows the geographic impact of Eva Maia'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 Eva Maia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Maia 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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2026