Mady Marinescu

641 total citations
8 papers, 340 citations indexed

About

Mady Marinescu is a scholar working on Signal Processing, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Mady Marinescu has authored 8 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Signal Processing, 6 papers in Artificial Intelligence and 5 papers in Computer Networks and Communications. Recurrent topics in Mady Marinescu's work include Advanced Malware Detection Techniques (8 papers), Network Security and Intrusion Detection (5 papers) and Adversarial Robustness in Machine Learning (4 papers). Mady Marinescu is often cited by papers focused on Advanced Malware Detection Techniques (8 papers), Network Security and Intrusion Detection (5 papers) and Adversarial Robustness in Machine Learning (4 papers). Mady Marinescu collaborates with scholars based in United States, Australia and Canada. Mady Marinescu's co-authors include Jack W. Stokes, H. Y. Y. Sanossian, Anil Thomas, Razvan Pascanu, Yu Wang, Wang De, Shayok Chakraborty, Lin Xiao and Dengyong Zhou and has published in prestigious journals such as Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Mady Marinescu

8 papers receiving 320 citations

Peers

Mady Marinescu
Mady Marinescu
Citations per year, relative to Mady Marinescu Mady Marinescu (= 1×) peers Nedim Šrndić

Countries citing papers authored by Mady Marinescu

Since Specialization
Citations

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

Fields of papers citing papers by Mady Marinescu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mady Marinescu

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

All Works

8 of 8 papers shown
1.
Wang, Yu, Jack W. Stokes, & Mady Marinescu. (2020). Actor Critic Deep Reinforcement Learning for Neural Malware Control. Proceedings of the AAAI Conference on Artificial Intelligence. 34(1). 1005–1012. 9 indexed citations
2.
Stokes, Jack W., et al.. (2019). Attention in Recurrent Neural Networks for Ransomware Detection. 3222–3226. 29 indexed citations
3.
Wang, Yu, Jack W. Stokes, & Mady Marinescu. (2019). Neural Malware Control with Deep Reinforcement Learning. 1–8. 8 indexed citations
4.
Stokes, Jack W., et al.. (2018). Robust Neural Malware Detection Models for Emulation Sequence Learning. 1–8. 7 indexed citations
5.
Stokes, Jack W., et al.. (2018). Attack and Defense of Dynamic Analysis-Based, Adversarial Neural Malware Detection Models. 1–8. 20 indexed citations
6.
Stokes, Jack W., et al.. (2018). Neural Sequential Malware Detection with Parameters. 2656–2660. 22 indexed citations
7.
Chakraborty, Shayok, Jack W. Stokes, Lin Xiao, et al.. (2017). Hierarchical learning for automated malware classification. 2. 23–28. 2 indexed citations
8.
Pascanu, Razvan, Jack W. Stokes, H. Y. Y. Sanossian, Mady Marinescu, & Anil Thomas. (2015). Malware classification with recurrent networks. 1916–1920. 243 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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