Borja Sanz

1.5k total citations
44 papers, 521 citations indexed

About

Borja Sanz is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Borja Sanz has authored 44 papers receiving a total of 521 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 17 papers in Computer Networks and Communications and 15 papers in Information Systems. Recurrent topics in Borja Sanz's work include Network Security and Intrusion Detection (16 papers), Spam and Phishing Detection (11 papers) and Advanced Malware Detection Techniques (11 papers). Borja Sanz is often cited by papers focused on Network Security and Intrusion Detection (16 papers), Spam and Phishing Detection (11 papers) and Advanced Malware Detection Techniques (11 papers). Borja Sanz collaborates with scholars based in Spain, Italy and Netherlands. Borja Sanz's co-authors include Pablo G. Bringas, Igor Santos, Carlos Laorden, Xabier Ugarte-Pedrero, Javier Nieves, José Gaviria de la Puerta, Félix Brezo, Kerry J. Gilmore, Alberto Tellaeche and Xiao Liu and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and IEEE Access.

In The Last Decade

Borja Sanz

37 papers receiving 485 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Borja Sanz Spain 14 278 274 250 179 91 44 521
Dan Lo United States 12 283 1.0× 317 1.2× 291 1.2× 158 0.9× 48 0.5× 73 597
Hamid Reza Shahriari Iran 11 353 1.3× 354 1.3× 404 1.6× 203 1.1× 155 1.7× 46 659
Xiaobo Ma China 15 174 0.6× 304 1.1× 144 0.6× 243 1.4× 38 0.4× 57 495
Xiaobo Wu China 10 140 0.5× 179 0.7× 124 0.5× 129 0.7× 8 0.1× 33 374
Wissam Mallouli France 10 112 0.4× 292 1.1× 152 0.6× 123 0.7× 29 0.3× 43 431
Mohammad Alnabhan Jordan 9 44 0.2× 118 0.4× 133 0.5× 61 0.3× 71 0.8× 34 293
Rajesh Bhatia India 10 33 0.1× 97 0.4× 239 1.0× 87 0.5× 136 1.5× 53 380
Abhilash Jindal United States 9 72 0.3× 368 1.3× 69 0.3× 41 0.2× 30 0.3× 15 585
Yutian Tang China 13 114 0.4× 185 0.7× 451 1.8× 167 0.9× 359 3.9× 43 618
Muhammad Hasnain Pakistan 8 34 0.1× 134 0.5× 178 0.7× 101 0.6× 8 0.1× 26 384

Countries citing papers authored by Borja Sanz

Since Specialization
Citations

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

Fields of papers citing papers by Borja Sanz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Borja Sanz

This figure shows the co-authorship network connecting the top 25 collaborators of Borja Sanz. A scholar is included among the top collaborators of Borja Sanz 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 Borja Sanz. Borja Sanz 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.
2.
Puerta, José Gaviria de la, et al.. (2024). An innovative framework for supporting content-based authorship identification and analysis in social media networks. Logic Journal of IGPL. 32(4). 589–604.
3.
Sanz, Borja, et al.. (2023). Discovering Mathematical Patterns Behind HIV-1 Genetic Recombination: A New Methodology to Identify Viral Features. IEEE Access. 11. 95796–95812. 1 indexed citations
4.
Sanz, Borja, et al.. (2023). Efficient Machine Learning on Edge Computing Through Data Compression Techniques. IEEE Access. 11. 31676–31685. 6 indexed citations
5.
Sanz, Borja, et al.. (2023). The contribution of data to feminist transformation of women’s rights to health. Feminismo/s. 93–119.
6.
Guzmán, Ignacio García‐Rodríguez de, et al.. (2023). Let’s do it right the first time: Survey on security concerns in the way to quantum software engineering. Neurocomputing. 538. 126199–126199. 8 indexed citations
7.
Sanz, Borja, et al.. (2022). The disconnect between the goals of trustworthy AI for law enforcement and the EU research agenda. AI and Ethics. 3(4). 1283–1294. 1 indexed citations
8.
9.
Puerta, José Gaviria de la, et al.. (2021). Detecting malicious Android applications based on the network packets generated. Neurocomputing. 456. 629–636. 4 indexed citations
10.
Sanz, Borja, et al.. (2019). Hic sunt draconis: derechos humanos y Big Data: análisis de una colaboración inexplorada. Dialnet (Universidad de la Rioja). 497–516.
11.
Doloreux, David, et al.. (2019). Territorial innovation models: to be or not to be, that’s the question. Scientometrics. 120(3). 1163–1191. 17 indexed citations
12.
Lorido-Botrán, Tania, Sergio Huerta‐Ochoa, Luis Tomás, Johan Tordsson, & Borja Sanz. (2017). An unsupervised approach to online noisy-neighbor detection in cloud data centers. Expert Systems with Applications. 89. 188–204. 11 indexed citations
13.
Laorden, Carlos, Xabier Ugarte-Pedrero, Igor Santos, et al.. (2014). Study on the effectiveness of anomaly detection for spam filtering. Information Sciences. 277. 421–444. 33 indexed citations
14.
Ugarte-Pedrero, Xabier, Igor Santos, Carlos Laorden, Borja Sanz, & Pablo G. Bringas. (2013). Collective Classification for Packed Executable Identification.. Computer Systems: Science & Engineering. 28. 1 indexed citations
15.
Santos, Igor, Carlos Laorden, Borja Sanz, & Pablo G. Bringas. (2013). Reversing the effects of tokenisation attacks against content-based spam filters. International Journal of Security and Networks. 8(2). 106–106. 1 indexed citations
16.
Santos, Igor, Carlos Laorden, Borja Sanz, & Pablo G. Bringas. (2013). JURD: Joiner of Un-Readable Documents to reverse tokenization attacks to content-based spam filters. 14. 259–264. 1 indexed citations
17.
Laorden, Carlos, Xabier Ugarte-Pedrero, Igor Santos, et al.. (2012). On the study of anomaly-based spam filtering using spam as representation of normality. 14. 693–695. 1 indexed citations
18.
Ugarte-Pedrero, Xabier, Igor Santos, Borja Sanz, Carlos Laorden, & Pablo G. Bringas. (2012). Countering entropy measure attacks on packed software detection. 164–168. 30 indexed citations
19.
Santos, Igor, Carlos Laorden, Borja Sanz, & Pablo G. Bringas. (2011). Enhanced Topic-based Vector Space Model for semantics-aware spam filtering. Expert Systems with Applications. 39(1). 437–444. 35 indexed citations
20.
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

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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