María Rigaki

502 total citations
7 papers, 201 citations indexed

About

María Rigaki is a scholar working on Signal Processing, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, María Rigaki has authored 7 papers receiving a total of 201 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Signal Processing, 6 papers in Artificial Intelligence and 5 papers in Computer Networks and Communications. Recurrent topics in María Rigaki's work include Advanced Malware Detection Techniques (6 papers), Network Security and Intrusion Detection (5 papers) and Adversarial Robustness in Machine Learning (3 papers). María Rigaki is often cited by papers focused on Advanced Malware Detection Techniques (6 papers), Network Security and Intrusion Detection (5 papers) and Adversarial Robustness in Machine Learning (3 papers). María Rigaki collaborates with scholars based in Czechia and Argentina. María Rigaki's co-authors include Sebastián García and Carlos Catania and has published in prestigious journals such as ACM Computing Surveys, Computers & Security and KTH Publication Database DiVA (KTH Royal Institute of Technology).

In The Last Decade

María Rigaki

7 papers receiving 194 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
María Rigaki Czechia	5	164	96	91	21	19	7	201
Rajvardhan Oak United States	6	102 0.6×	81 0.8×	51 0.6×	44 2.1×	19 1.0×	17	172
Gabriela F. Cretu United States	4	129 0.8×	94 1.0×	75 0.8×	33 1.6×	5 0.3×	9	168
Idowu Dauda Oladipo Nigeria	7	82 0.5×	91 0.9×	55 0.6×	28 1.3×	14 0.7×	12	149
Lasse Øverlier Norway	3	192 1.2×	153 1.6×	57 0.6×	32 1.5×	30 1.6×	4	203
Ayyoob Hamza Australia	5	134 0.8×	185 1.9×	112 1.2×	24 1.1×	10 0.5×	9	220
Phillip Rieger Germany	7	138 0.8×	76 0.8×	31 0.3×	27 1.3×	6 0.3×	10	176
Jeff Seibert United States	6	94 0.6×	106 1.1×	73 0.8×	32 1.5×	10 0.5×	12	162
Mohammad Saidur Rahman United States	6	224 1.4×	131 1.4×	67 0.7×	55 2.6×	56 2.9×	10	237
Max Schuchard United States	10	221 1.3×	270 2.8×	68 0.7×	29 1.4×	16 0.8×	17	320
Chris Wacek United States	6	219 1.3×	162 1.7×	58 0.6×	38 1.8×	16 0.8×	8	241

Countries citing papers authored by María Rigaki

Since Specialization

Citations

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

Fields of papers citing papers by María Rigaki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of María Rigaki

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

All Works

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7 of 7 papers shown

1.

Rigaki, María, et al.. (2024). Out of the Cage: How Stochastic Parrots Win in Cyber Security Environments. 774–781. 5 indexed citations

2.

Rigaki, María & Sebastián García. (2023). A Survey of Privacy Attacks in Machine Learning. ACM Computing Surveys. 56(4). 1–34. 74 indexed citations

3.

Rigaki, María & Sebastián García. (2023). Stealing and evading malware classifiers and antivirus at low false positive conditions. Computers & Security. 129. 103192–103192. 5 indexed citations

4.

Catania, Carlos, et al.. (2019). Detecting DNS Threats: A Deep Learning Model to Rule Them All. El Servicio de Difusión de la Creación Intelectual (National University of La Plata). 2 indexed citations

5.

Rigaki, María, et al.. (2019). Machete: Dissecting the Operations of a Cyber Espionage Group in Latin America. 464–473. 1 indexed citations

6.

Rigaki, María & Sebastián García. (2018). Bringing a GAN to a Knife-Fight: Adapting Malware Communication to Avoid Detection. 70–75. 83 indexed citations

7.

Rigaki, María. (2017). Adversarial deep learning against intrusion detection classifiers. KTH Publication Database DiVA (KTH Royal Institute of Technology). 2057. 35–48. 31 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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