Mayra Macas
Impact in
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- Network Security and Intrusion Detection
- Artificial Intelligence top 10%
- Adversarial Robustness in Machine Learning
- Anomaly Detection Techniques and Applications
Papers in
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- Spam and Phishing Detection 2
- Web Application Security Vulnerabilities 2
- User Authentication and Security Systems 1
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- Network Security and Intrusion Detection 3
- Co-authors
- Chunming Wu (6 shared papers)Walter Fuertes (9 shared papers)Theofilos Toulkeridis (1 shared paper)Roberto Andrade (1 shared paper)Haifeng Zhou (1 shared paper)
- Journals
- Expert Systems with Applications (1 paper)Computer Networks (1 paper)Science China Information Sciences (1 paper)Electronics (1 paper)Communications in computer and information science (4 papers)
In The Last Decade
Mayra Macas
11 papers receiving 275 citations
Peers
Comparison fields: 5 of 36
- Computer Networks and Communications 117
- Artificial Intelligence 92
- Information Systems 57
- Signal Processing 18
- Control and Systems Engineering 34
Countries citing papers authored by Mayra Macas
This map shows the geographic impact of Mayra Macas'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 Mayra Macas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mayra Macas more than expected).
Fields of papers citing papers by Mayra Macas
This network shows the impact of papers produced by Mayra Macas. 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 Mayra Macas. The network helps show where Mayra Macas may publish in the future.
Co-authors
The 5 scholars most cited alongside Mayra Macas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 127 | |
| 2 | 2023 | 76 | |
| 3 | 2019 | 32 | |
| 4 | 2020 | 18 | |
| 5 | 2017 | 10 | |
| 6 | 2022 | 10 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 2 | |
| 10 | 2024 | 2 | |
| 11 | 2021 | 1 | |
| 12 | 2022 | 0 | |
| 13 | 2024 | 0 |
About Mayra Macas
Mayra Macas is a scholar working on Information Systems, Computer Networks and Communications, Artificial Intelligence, Control and Systems Engineering and Hardware and Architecture, having authored 13 papers that have together received 283 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (3 papers), Spam and Phishing Detection (2 papers), Anomaly Detection Techniques and Applications (2 papers), Fault Detection and Control Systems (2 papers), Web Application Security Vulnerabilities (2 papers), Smart Agriculture and AI (1 paper), User Authentication and Security Systems (1 paper) and Network Packet Processing and Optimization (1 paper). The work is most often cited by research in Computer Networks and Communications (117 citations), Artificial Intelligence (92 citations), Information Systems (57 citations), Signal Processing (18 citations) and Control and Systems Engineering (34 citations). Mayra Macas has collaborated with scholars based in China and Ecuador. Frequent co-authors include Chunming Wu, Walter Fuertes, Theofilos Toulkeridis, Roberto Andrade and Haifeng Zhou. Their work appears in journals such as Expert Systems with Applications, Computer Networks, Science China Information Sciences, Electronics and Communications in computer and information science.
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.