Héctor D. Menéndez

1.2k total citations
48 papers, 743 citations indexed

About

Héctor D. Menéndez is a scholar working on Artificial Intelligence, Signal Processing and Software. According to data from OpenAlex, Héctor D. Menéndez has authored 48 papers receiving a total of 743 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 14 papers in Signal Processing and 11 papers in Software. Recurrent topics in Héctor D. Menéndez's work include Advanced Clustering Algorithms Research (11 papers), Software Testing and Debugging Techniques (11 papers) and Advanced Malware Detection Techniques (10 papers). Héctor D. Menéndez is often cited by papers focused on Advanced Clustering Algorithms Research (11 papers), Software Testing and Debugging Techniques (11 papers) and Advanced Malware Detection Techniques (10 papers). Héctor D. Menéndez collaborates with scholars based in Spain, United Kingdom and Switzerland. Héctor D. Menéndez's co-authors include David Camacho, Shintaro Okazaki, Alejandro Martín, Kirk Plangger, David Clark, Douglas West, David F. Barrero, Ana M. Díaz‐Martín, Víctor Rodríguez-Fernández and Gema Bello-Orgaz and has published in prestigious journals such as Journal of Business Research, Expert Systems with Applications and IEEE Transactions on Software Engineering.

In The Last Decade

Héctor D. Menéndez

46 papers receiving 694 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Héctor D. Menéndez Spain 15 274 205 170 161 124 48 743
Mohammad Ali Nematbakhsh Iran 16 318 1.2× 44 0.2× 216 1.3× 133 0.8× 301 2.4× 78 929
Zubair Shafiq United States 16 311 1.1× 150 0.7× 213 1.3× 231 1.4× 189 1.5× 67 782
Robert Ragno United States 7 476 1.7× 139 0.7× 147 0.9× 131 0.8× 730 5.9× 8 1.2k
Sabah Al‐Fedaghi Kuwait 13 279 1.0× 55 0.3× 97 0.6× 162 1.0× 282 2.3× 167 780
Eva Onaindía Spain 15 432 1.6× 67 0.3× 145 0.9× 171 1.1× 310 2.5× 91 909
George Lawton Australia 17 142 0.5× 113 0.6× 370 2.2× 96 0.6× 321 2.6× 64 866
Suriayati Chuprat Malaysia 12 240 0.9× 54 0.3× 185 1.1× 61 0.4× 401 3.2× 85 757
Biju Issac United Kingdom 15 382 1.4× 302 1.5× 475 2.8× 53 0.3× 327 2.6× 79 905
Naresh Kumar Nagwani India 16 423 1.5× 100 0.5× 163 1.0× 36 0.2× 411 3.3× 106 850
Martin Boldt Sweden 12 254 0.9× 158 0.8× 168 1.0× 194 1.2× 277 2.2× 48 712

Countries citing papers authored by Héctor D. Menéndez

Since Specialization
Citations

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

Fields of papers citing papers by Héctor D. Menéndez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Héctor D. Menéndez. 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 Héctor D. Menéndez. The network helps show where Héctor D. Menéndez may publish in the future.

Co-authorship network of co-authors of Héctor D. Menéndez

This figure shows the co-authorship network connecting the top 25 collaborators of Héctor D. Menéndez. A scholar is included among the top collaborators of Héctor D. Menéndez 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 Héctor D. Menéndez. Héctor D. Menéndez 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.
Iglesias, Guillermo, Héctor D. Menéndez, & Edgar Talavera. (2025). Improving explanations for medical X-ray diagnosis combining variational autoencoders and adversarial machine learning. Computers in Biology and Medicine. 188. 109857–109857. 1 indexed citations
2.
Bansal, Sangeeta, et al.. (2024). Impacts of stocking densities on soil biochemical and microbial properties in a mixed-grass prairie ecosystem at two landscape positions. Frontiers in Sustainable Food Systems. 8. 3 indexed citations
3.
Kelly, David, et al.. (2023). June: A Type Testability Transformation for Improved ATG Performance. Research Portal (King's College London). 274–284.
4.
Menéndez, Héctor D. & Guillermo Suárez‐Tangil. (2022). ObfSec: Measuring the security of obfuscations from a testing perspective. Expert Systems with Applications. 210. 118298–118298. 1 indexed citations
5.
Menéndez, Héctor D.. (2022). Measuring Machine Learning Robustness in front of Static and Dynamic Adversaries*. 174–181. 1 indexed citations
6.
Menéndez, Héctor D.. (2021). Malware: The Never-Ending Arm Race. Middlesex University Research Repository (Middlesex University Of London). 1–25. 4 indexed citations
7.
Menéndez, Héctor D., Gunel Jahangirova, Federica Sarro, Paolo Tonella, & David Clark. (2021). Diversifying Focused Testing for Unit Testing. ACM Transactions on Software Engineering and Methodology. 30(4). 1–24. 7 indexed citations
8.
Menéndez, Héctor D. & David Clark. (2021). Hashing Fuzzing: Introducing Input Diversity to Improve Crash Detection. IEEE Transactions on Software Engineering. 48(9). 3540–3553. 10 indexed citations
9.
Menéndez, Héctor D. & José Luís Llorente. (2019). Mimicking Anti-Viruses with Machine Learning and Entropy Profiles. Entropy. 21(5). 513–513. 11 indexed citations
10.
Menéndez, Héctor D.. (2019). VARMOG: A Co-Evolutionary Algorithm to Identify Manifolds on Large Data. 11. 3300–3307. 3 indexed citations
11.
Menéndez, Héctor D., Sukriti Bhattacharya, David Clark, & Earl T. Barr. (2018). The arms race: Adversarial search defeats entropy used to detect malware. Expert Systems with Applications. 118. 246–260. 28 indexed citations
12.
Menéndez, Héctor D., Fernando E. B. Otero, & David Camacho. (2017). Extending the SACOC algorithm through the Nyström method for dense manifold data analysis. International Journal of Bio-Inspired Computation. 10(2). 127–127. 2 indexed citations
13.
Menéndez, Héctor D., Fernando E. B. Otero, & David Camacho. (2016). Medoid-based clustering using ant colony optimization. Swarm Intelligence. 10(2). 123–145. 27 indexed citations
14.
Rodríguez-Fernández, Víctor, Héctor D. Menéndez, & David Camacho. (2016). Analysing temporal performance profiles of UAV operators using time series clustering. Expert Systems with Applications. 70. 103–118. 27 indexed citations
15.
Rodríguez-Fernández, Víctor, Héctor D. Menéndez, & David Camacho. (2016). A study on performance metrics and clustering methods for analyzing behavior in UAV operations. Journal of Intelligent & Fuzzy Systems. 32(2). 1307–1319. 7 indexed citations
16.
Menéndez, Héctor D., Fernando E. B. Otero, & David Camacho. (2015). SACOC: A spectral-based ACO clustering algorithm. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 1 indexed citations
17.
Rodríguez-Fernández, Víctor, Héctor D. Menéndez, & David Camacho. (2015). User Profile Analysis for UAV Operators in a Simulation Environment.. UCL Discovery (University College London). 338–347. 1 indexed citations
18.
Rodríguez-Fernández, Víctor, Héctor D. Menéndez, & David Camacho. (2015). Automatic profile generation for UAV operators using a simulation-based training environment. Progress in Artificial Intelligence. 5(1). 37–46. 20 indexed citations
19.
Menéndez, Héctor D. & David Camacho. (2014). A Multi-Objective Graph-based Genetic Algorithm for image segmentation. 1. 234–241. 5 indexed citations
20.
Menéndez, Héctor D., David F. Barrero, & David Camacho. (2014). A GENETIC GRAPH-BASED APPROACH FOR PARTITIONAL CLUSTERING. International Journal of Neural Systems. 24(3). 1430008–1430008. 53 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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