Eduardo K. Viegas

1.1k total citations
58 papers, 591 citations indexed

About

Eduardo K. Viegas is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Eduardo K. Viegas has authored 58 papers receiving a total of 591 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Computer Networks and Communications, 30 papers in Artificial Intelligence and 28 papers in Signal Processing. Recurrent topics in Eduardo K. Viegas's work include Network Security and Intrusion Detection (35 papers), Advanced Malware Detection Techniques (26 papers) and Internet Traffic Analysis and Secure E-voting (22 papers). Eduardo K. Viegas is often cited by papers focused on Network Security and Intrusion Detection (35 papers), Advanced Malware Detection Techniques (26 papers) and Internet Traffic Analysis and Secure E-voting (22 papers). Eduardo K. Viegas collaborates with scholars based in Brazil, United Arab Emirates and Puerto Rico. Eduardo K. Viegas's co-authors include Altair O. Santin, Luiz S. Oliveira, Nuno Neves, Alysson Bessani, Volnei A. Pedroni, Pietro Tedeschi, Alceu de Souza Britto, Martin Andreoni Lopez, Miguel R. D. Rodrigues and Corina da Costa Freitas and has published in prestigious journals such as IEEE Access, IEEE Transactions on Computers and IEEE Internet of Things Journal.

In The Last Decade

Eduardo K. Viegas

46 papers receiving 565 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Eduardo K. Viegas Brazil 13 458 355 289 92 61 58 591
Mojtaba Eskandari Iran 9 407 0.9× 240 0.7× 316 1.1× 107 1.2× 51 0.8× 12 485
Ke He China 9 328 0.7× 267 0.8× 209 0.7× 139 1.5× 30 0.5× 31 480
Youngsoo Kim South Korea 13 377 0.8× 180 0.5× 194 0.7× 109 1.2× 35 0.6× 41 500
Kehe Wu China 10 319 0.7× 290 0.8× 149 0.5× 123 1.3× 60 1.0× 73 499
Basil AsSadhan Saudi Arabia 14 317 0.7× 284 0.8× 173 0.6× 99 1.1× 36 0.6× 34 451
Kriti Bhushan India 12 389 0.8× 191 0.5× 205 0.7× 153 1.7× 41 0.7× 22 464
Cherita Corbett United States 12 513 1.1× 441 1.2× 299 1.0× 167 1.8× 44 0.7× 27 710
Chaochao Luo China 5 309 0.7× 242 0.7× 193 0.7× 139 1.5× 31 0.5× 6 436
Tianlong Yu United States 9 373 0.8× 163 0.5× 153 0.5× 135 1.5× 24 0.4× 14 486
Xuehui Du China 10 323 0.7× 265 0.7× 157 0.5× 119 1.3× 25 0.4× 53 463

Countries citing papers authored by Eduardo K. Viegas

Since Specialization
Citations

This map shows the geographic impact of Eduardo K. Viegas'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 Eduardo K. Viegas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eduardo K. Viegas more than expected).

Fields of papers citing papers by Eduardo K. Viegas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eduardo K. Viegas. 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 Eduardo K. Viegas. The network helps show where Eduardo K. Viegas may publish in the future.

Co-authorship network of co-authors of Eduardo K. Viegas

This figure shows the co-authorship network connecting the top 25 collaborators of Eduardo K. Viegas. A scholar is included among the top collaborators of Eduardo K. Viegas 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 Eduardo K. Viegas. Eduardo K. Viegas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Rodrigues, Miguel R. D., Eduardo K. Viegas, Altair O. Santin, & Fabrício Enembreck. (2025). A MLOps architecture for near real-time distributed Stream Learning operation deployment. Journal of Network and Computer Applications. 238. 104169–104169. 2 indexed citations
2.
Viegas, Eduardo K., et al.. (2025). An Energy-Efficient Intrusion Detection Offloading Based on DNN for Edge Computing. IEEE Internet of Things Journal. 12(12). 20326–20342. 2 indexed citations
4.
Santin, Altair O., et al.. (2024). Towards a reliable spam detection: an ensemble classification with rejection option. Cluster Computing. 28(1). 2 indexed citations
6.
Viegas, Eduardo K., et al.. (2024). Detection of quality of service degradation on multi-tenant containerized services. Journal of Network and Computer Applications. 224. 103839–103839. 8 indexed citations
7.
Viegas, Eduardo K., et al.. (2024). Network-based Intrusion Detection Through Image-based CNN and Transfer Learning. 386–391. 2 indexed citations
8.
Viegas, Eduardo K., et al.. (2023). Federated learning for reliable model updates in network-based intrusion detection. Computers & Security. 133. 103413–103413. 15 indexed citations
9.
Oliveira, Paulo Renato de, et al.. (2023). A Dynamic Network-based Intrusion Detection Model for Industrial Control Systems. 1496–1501.
11.
Viegas, Eduardo K., Altair O. Santin, & Pietro Tedeschi. (2023). Toward a Reliable Evaluation of Machine Learning Schemes for Network-Based Intrusion Detection. IEEE Internet of Things Magazine. 6(2). 70–75. 5 indexed citations
12.
Viegas, Eduardo K., et al.. (2022). A motion-based approach for real-time detection of pornographic content in videos. Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing. 1066–1073. 2 indexed citations
13.
Viegas, Eduardo K., et al.. (2022). Towards Multi-view Android Malware Detection Through Image-based Deep Learning. 2022 International Wireless Communications and Mobile Computing (IWCMC). 572–577. 14 indexed citations
15.
Viegas, Eduardo K., et al.. (2022). Intrusion Detection Model Updates Through GAN Data Augmentation and Transfer Learning. GLOBECOM 2022 - 2022 IEEE Global Communications Conference. 2668–2673.
16.
Viegas, Eduardo K., et al.. (2021). Improving Intrusion Detection Confidence Through a Moving Target Defense Strategy. 2021 IEEE Global Communications Conference (GLOBECOM). 1–6. 2 indexed citations
17.
Viegas, Eduardo K., et al.. (2021). A Machine Learning Model for Detection of Docker-based APP Overbooking on Kubernetes. 1–6. 18 indexed citations
18.
Viegas, Eduardo K., et al.. (2021). A Deep Autoencoder and RNN Model for Indoor Localization with Variable Propagation Loss. 6 indexed citations
19.
Viegas, Eduardo K., et al.. (2020). Machine Learning Intrusion Detection in Big Data Era: A Multi-Objective Approach for Longer Model Lifespans. IEEE Transactions on Network Science and Engineering. 8(1). 366–376. 35 indexed citations
20.
Viegas, Eduardo K., et al.. (2016). Towards an Energy-Efficient Anomaly-Based Intrusion Detection Engine for Embedded Systems. IEEE Transactions on Computers. 66(1). 163–177. 74 indexed citations

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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