Eva Maia
Impact in
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- Digital Transformation in Industry
- Flexible and Reconfigurable Manufacturing Systems
- Manufacturing Process and Optimization
- Signal Processing top 10%
- Advanced Malware Detection Techniques
Papers in
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- Adversarial Robustness in Machine Learning 3
- Internet Traffic Analysis and Secure E-voting 3
- Anomaly Detection Techniques and Applications 2
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- Network Security and Intrusion Detection 7
- Co-authors
- Isabel Praça (20 shared papers)Adrien Bécue (1 shared paper)Orlando Sousa (3 shared papers)João Vitorino (8 shared papers)António Marques (1 shared paper)Artemisa R. Dores (1 shared paper)Irene P. Carvalho (1 shared paper)Nelma Moreira (2 shared papers)
In The Last Decade
Eva Maia
22 papers receiving 315 citations
Peers
Comparison fields: 5 of 75
- Industrial and Manufacturing Engineering 108
- Signal Processing 62
- Computer Networks and Communications 125
- Artificial Intelligence 94
- Management Information Systems 21
Countries citing papers authored by Eva Maia
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).
Fields of papers citing papers by Eva Maia
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.
Co-authors
The 23 scholars most cited alongside Eva Maia, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 129 | |
| 2 | 2021 | 81 | |
| 3 | 2023 | 27 | |
| 4 | 2023 | 21 | |
| 5 | 2023 | 17 | |
| 6 | 2022 | 10 | |
| 7 | 2023 | 8 | |
| 8 | 2025 | 6 | |
| 9 | 2019 | 5 | |
| 10 | 2023 | 5 | |
| 11 | 2022 | 3 | |
| 12 | 2015 | 3 | |
| 13 | 2020 | 3 | |
| 14 | 2024 | 2 | |
| 15 | 2023 | 2 | |
| 16 | 2020 | 2 | |
| 17 | 2025 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2022 | 1 | |
| 20 | 2025 | 1 |
About Eva Maia
Eva Maia is a scholar working on Artificial Intelligence, Computer Networks and Communications, Signal Processing, Information Systems and Computational Theory and Mathematics, having authored 24 papers that have together received 330 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (7 papers), Advanced Malware Detection Techniques (4 papers), Adversarial Robustness in Machine Learning (3 papers), Internet Traffic Analysis and Secure E-voting (3 papers), Infrastructure Resilience and Vulnerability Analysis (2 papers), Flexible and Reconfigurable Manufacturing Systems (2 papers), Digital Transformation in Industry (2 papers) and Anomaly Detection Techniques and Applications (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (108 citations), Signal Processing (62 citations), Computer Networks and Communications (125 citations), Artificial Intelligence (94 citations) and Management Information Systems (21 citations). Eva Maia has collaborated with scholars based in Portugal, Germany and France. Frequent co-authors include Isabel Praça, Adrien Bécue, Orlando Sousa, João Vitorino, António Marques, Artemisa R. Dores, Irene P. Carvalho, Nelma Moreira, Rogério Reis and Markus Holzer. Their work appears in journals such as Applied Sciences, Data in Brief, Information and Computation, Computer Networks and Computers & Security.
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.