Amanda Fernandez

465 total citations
17 papers, 297 citations indexed

About

Amanda Fernandez is a scholar working on Information Systems, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Amanda Fernandez has authored 17 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Information Systems, 5 papers in Signal Processing and 3 papers in Computer Networks and Communications. Recurrent topics in Amanda Fernandez's work include Advanced Malware Detection Techniques (4 papers), Teaching and Learning Programming (3 papers) and EEG and Brain-Computer Interfaces (3 papers). Amanda Fernandez is often cited by papers focused on Advanced Malware Detection Techniques (4 papers), Teaching and Learning Programming (3 papers) and EEG and Brain-Computer Interfaces (3 papers). Amanda Fernandez collaborates with scholars based in United States, Canada and Pakistan. Amanda Fernandez's co-authors include Kim‐Kwang Raymond Choo, Adnan Akhunzada, Javed Iqbal, John J. Prevost, Fatemeh Afghah, Nour Moustafa, Marwa Keshk, Abdul Wahab, Waqas Haider and Dakai Zhu and has published in prestigious journals such as IEEE Access, Computers & Security and Aging Neuropsychology and Cognition.

In The Last Decade

Amanda Fernandez

14 papers receiving 277 citations

Peers

Amanda Fernandez
Amanda Fernandez
Citations per year, relative to Amanda Fernandez Amanda Fernandez (= 1×) peers Moumita Pramanik

Countries citing papers authored by Amanda Fernandez

Since Specialization
Citations

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

Fields of papers citing papers by Amanda Fernandez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amanda Fernandez

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

All Works

17 of 17 papers shown
2.
Geyer, Michaël, et al.. (2025). Persistent Classification: Understanding Adversarial Attacks by Studying Decision Boundary Dynamics. Statistical Analysis and Data Mining The ASA Data Science Journal. 18(1).
3.
Fernandez, Amanda, et al.. (2024). CS1 with a Side of AI: Teaching Software Verification for Secure Code in the Era of Generative AI. 345–351. 12 indexed citations
4.
Fernandez, Amanda, et al.. (2024). Experiences in Delivering Online CS Teacher Professional Development. 1428–1434.
5.
Fernandez, Amanda. (2024). Generalizing the CS Course-based Undergraduate Research Experience (CURE). 1642–1643. 1 indexed citations
6.
Fernandez, Amanda, et al.. (2023). Synthetic ECG Signal Generation Using Probabilistic Diffusion Models. IEEE Access. 11. 75818–75828. 47 indexed citations
8.
Serrick, Cyril, Amanda Fernandez, Myriam Lafrenière‐Roula, et al.. (2022). Platelet preservation in cardiac surgery using minimally invasive extracorporeal circulation versus optimized cardiopulmonary bypass. Perfusion. 38(8). 1705–1713. 1 indexed citations
9.
Geyer, Michaël, et al.. (2022). Reconstructive Training for Real-World Robustness in Image Classification. 1050. 251–260. 1 indexed citations
10.
Lee, Young, et al.. (2020). Evaluating and Securing Text-Based Java Code through Static Code Analysis. DigitalCommons - Kennesaw State University (Kennesaw State University). 2020(1). 4 indexed citations
11.
Akhunzada, Adnan, et al.. (2020). A Deep CNN Ensemble Framework for Efficient DDoS Attack Detection in Software Defined Networks. IEEE Access. 8. 53972–53983. 175 indexed citations
12.
Moradi, Hamidreza, Wei Wang, Amanda Fernandez, & Dakai Zhu. (2020). uPredict: A User-Level Profiler-Based Predictive Framework in Multi-Tenant Clouds. 14. 73–82. 6 indexed citations
13.
Haider, Waqas, Nour Moustafa, Marwa Keshk, et al.. (2020). FGMC-HADS: Fuzzy Gaussian mixture-based correntropy models for detecting zero-day attacks from linux systems. Computers & Security. 96. 101906–101906. 19 indexed citations
14.
Fernandez, Amanda, et al.. (2019). MinENet: A Dilated CNN for Semantic Segmentation of Eye Features. 3671–3676. 17 indexed citations
15.
Fernandez, Amanda, et al.. (2017). Are there age differences in attention to emotional images following a sad mood induction? Evidence from a free-viewing eye-tracking paradigm. Aging Neuropsychology and Cognition. 25(6). 928–957. 5 indexed citations
16.
Fernandez, Amanda, et al.. (2016). My brain is my passport. Verify me. 19–22. 4 indexed citations
17.
Fernandez, Amanda, et al.. (2016). Addressing the vulnerabilities of pass-thoughts. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2 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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