Félix Brezo

1.0k total citations · 1 hit paper
8 papers, 439 citations indexed

About

Félix Brezo is a scholar working on Computer Networks and Communications, Signal Processing and Information Systems. According to data from OpenAlex, Félix Brezo has authored 8 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Networks and Communications, 6 papers in Signal Processing and 4 papers in Information Systems. Recurrent topics in Félix Brezo's work include Network Security and Intrusion Detection (6 papers), Advanced Malware Detection Techniques (6 papers) and Spam and Phishing Detection (2 papers). Félix Brezo is often cited by papers focused on Network Security and Intrusion Detection (6 papers), Advanced Malware Detection Techniques (6 papers) and Spam and Phishing Detection (2 papers). Félix Brezo collaborates with scholars based in Spain and United States. Félix Brezo's co-authors include Pablo G. Bringas, Igor Santos, Xabier Ugarte-Pedrero, Borja Sanz, Carlos Laorden, Javier Nieves, José Gaviria de la Puerta and José Luis del Val García and has published in prestigious journals such as SHILAP Revista de lepidopterología, Information Sciences and IET Information Security.

In The Last Decade

Félix Brezo

8 papers receiving 411 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Opcode sequences as representation of executables for data-mining-based unknown malware detection

2011 310 citations Igor Santos, Félix Brezo et al. Information Sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Félix Brezo Spain	5	346	329	223	148	49	8	439
Yuhong Nan China	9	233 0.7×	133 0.4×	245 1.1×	114 0.8×	40 0.8×	28	368
Tai D. Nguyen Vietnam	5	103 0.3×	114 0.3×	229 1.0×	100 0.7×	22 0.4×	9	323
Nolen Scaife United States	10	440 1.3×	290 0.9×	394 1.8×	165 1.1×	41 0.8×	17	561
Dimitar Dimitrov Switzerland	7	72 0.2×	121 0.4×	170 0.8×	106 0.7×	55 1.1×	18	288
Dale Lindskog Canada	12	232 0.7×	193 0.6×	309 1.4×	110 0.7×	30 0.6×	45	398
Aswami Ariffin Malaysia	10	202 0.6×	157 0.5×	219 1.0×	58 0.4×	16 0.3×	24	301
Sean Barnum United States	9	208 0.6×	175 0.5×	374 1.7×	96 0.6×	37 0.8×	12	457
Luca Allodi Netherlands	13	178 0.5×	216 0.7×	435 2.0×	95 0.6×	68 1.4×	44	522
Fuchen Ma China	11	104 0.3×	70 0.2×	261 1.2×	82 0.6×	39 0.8×	21	340
Rimma V. Nehme United States	13	166 0.5×	370 1.1×	207 0.9×	163 1.1×	13 0.3×	28	473

Countries citing papers authored by Félix Brezo

Since Specialization

Citations

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

Fields of papers citing papers by Félix Brezo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Félix Brezo

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Santos, Igor, Xabier Ugarte-Pedrero, Félix Brezo, & Pablo G. Bringas. (2013). NOA: An Information Retrieval Based Malware Detection System. Computing and Informatics / Computers and Artificial Intelligence. 32(1). 145–174. 4 indexed citations

2.

Brezo, Félix, et al.. (2013). A Supervised Classification Approach for Detecting Packets Originated in a HTTP-based Botnet. SHILAP Revista de lepidopterología. 16(3). 6 indexed citations

3.

Brezo, Félix, et al.. (2012). Supervised classification of packets coming from a HTTP botnet. 1–8. 1 indexed citations

4.

Brezo, Félix & Pablo G. Bringas. (2012). Issues and Risks Associated with Cryptocurrencies such as Bitcoin. 20–26. 40 indexed citations

5.

Santos, Igor, Félix Brezo, Xabier Ugarte-Pedrero, & Pablo G. Bringas. (2011). Opcode sequences as representation of executables for data-mining-based unknown malware detection. Information Sciences. 231. 64–82. 310 indexed citations breakdown →

6.

Santos, Igor, Félix Brezo, Borja Sanz, Carlos Laorden, & Pablo G. Bringas. (2011). Using opcode sequences in single-class learning to detect unknown malware. IET Information Security. 5(4). 220–227. 41 indexed citations

7.

Brezo, Félix, Igor Santos, Pablo G. Bringas, & José Luis del Val García. (2011). Challenges and Limitations in Current Botnet Detection. 737. 95–101. 3 indexed citations

8.

Nieves, Javier, et al.. (2010). Data Leak Prevention through Named Entity Recognition. 1129–1134. 34 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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