Diego Martín

1.8k total citations
96 papers, 1.2k citations indexed

About

Diego Martín is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Information Systems. According to data from OpenAlex, Diego Martín has authored 96 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 23 papers in Electrical and Electronic Engineering and 20 papers in Information Systems. Recurrent topics in Diego Martín's work include Context-Aware Activity Recognition Systems (12 papers), IoT and Edge/Fog Computing (9 papers) and Smart Grid Security and Resilience (9 papers). Diego Martín is often cited by papers focused on Context-Aware Activity Recognition Systems (12 papers), IoT and Edge/Fog Computing (9 papers) and Smart Grid Security and Resilience (9 papers). Diego Martín collaborates with scholars based in Spain, Iran and United States. Diego Martín's co-authors include Ramón Alcarria, Tomás Robles, Borja Bordel, M. R. Mosavi, Masoud Kaveh, Mohammad Khishe, Julián Urbano, Mónica Marrero, Augusto Morales and Mehrdad Kaveh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Diego Martín

88 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Diego Martín Spain 20 345 319 289 285 187 96 1.2k
Rizgar R. Zebari Iraq 21 433 1.3× 557 1.7× 203 0.7× 697 2.4× 306 1.6× 40 1.7k
Anurag Shrivastava India 27 301 0.9× 315 1.0× 333 1.2× 273 1.0× 169 0.9× 132 1.7k
Xiaoxian Yang China 17 334 1.0× 475 1.5× 249 0.9× 336 1.2× 175 0.9× 43 1.2k
Basit Qureshi Saudi Arabia 22 363 1.1× 523 1.6× 334 1.2× 268 0.9× 237 1.3× 74 1.4k
Sheng Xiao China 19 463 1.3× 451 1.4× 495 1.7× 458 1.6× 169 0.9× 58 1.4k
Mohammad Ayoub Khan Saudi Arabia 20 337 1.0× 617 1.9× 412 1.4× 394 1.4× 129 0.7× 67 1.5k
Bahman Arasteh Iran 19 385 1.1× 443 1.4× 117 0.4× 385 1.4× 77 0.4× 100 1.2k
Jie Tang China 19 800 2.3× 472 1.5× 429 1.5× 321 1.1× 620 3.3× 73 2.2k
Jiechao Gao United States 18 410 1.2× 426 1.3× 202 0.7× 434 1.5× 149 0.8× 62 1.4k
Borja Bordel Spain 16 136 0.4× 270 0.8× 137 0.5× 266 0.9× 167 0.9× 93 809

Countries citing papers authored by Diego Martín

Since Specialization
Citations

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

Fields of papers citing papers by Diego Martín

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diego Martín

This figure shows the co-authorship network connecting the top 25 collaborators of Diego Martín. A scholar is included among the top collaborators of Diego Martín 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 Diego Martín. Diego Martín 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.
Li, Haitao, et al.. (2025). A hybrid bio-inspired approach for clustering and routing in UWSNs using MPA and HGS. Sustainable Computing Informatics and Systems. 46. 101108–101108.
2.
Martín, Diego, et al.. (2025). Secure Cooperative Dual-RIS-Aided V2V Communication: An Evolutionary Transformer–GRU Framework for Secrecy Rate Maximization in Vehicular Networks. World Electric Vehicle Journal. 16(7). 396–396. 1 indexed citations
3.
4.
Vaziri, A., et al.. (2025). Generative Adversarial and Transformer Network Synergy for Robust Intrusion Detection in IoT Environments. Future Internet. 17(6). 258–258. 4 indexed citations
5.
Martín, Diego, et al.. (2025). An Evolutionary Deep Reinforcement Learning-Based Framework for Efficient Anomaly Detection in Smart Power Distribution Grids. Energies. 18(10). 2435–2435. 2 indexed citations
6.
Zhu, Chaoyang, et al.. (2025). Enhancing unmanned marine vehicle path planning: A fractal-enhanced chaotic grey wolf and differential evolution approach. Knowledge-Based Systems. 317. 113481–113481. 4 indexed citations
7.
Ghadi, Farshad Rostami, et al.. (2025). UAV-Relay Assisted RSMA Fluid Antenna System: Outage Probability Analysis. IEEE Wireless Communications Letters. 14(9). 2907–2911. 1 indexed citations
8.
Martín, Diego, et al.. (2024). Objective-based survival individual enhancement in the chimp optimization algorithm for the profit prediction using financial accounting information system. Engineering Science and Technology an International Journal. 60. 101897–101897.
9.
Khishe, Mohammad, et al.. (2024). Quantum Chimp Optimization Algorithm: A Novel Integration of Quantum Mechanics Into the Chimp Optimization Framework for Enhanced Performance. Journal of Artificial Intelligence and Soft Computing Research. 14(4). 321–359. 7 indexed citations
10.
Martín, Diego, et al.. (2024). A dual-adaptive stochastic reinforcement chimp optimization algorithm for fire detection and multidimensional problem solving. Scientific Reports. 14(1). 31226–31226. 1 indexed citations
11.
Martín, Diego, et al.. (2024). Improved IChOA-Based Reinforcement Learning for Secrecy Rate Optimization in Smart Grid Communications. Computers, materials & continua/Computers, materials & continua (Print). 81(2). 2819–2843. 6 indexed citations
12.
Bouteraa, Yassine, et al.. (2024). A cognitive few-shot learning for medical diagnosis: A case study on cleft lip and palate and Parkinson’s disease. Expert Systems with Applications. 262. 125713–125713. 3 indexed citations
13.
Ghadi, Farshad Rostami, Masoud Kaveh, & Diego Martín. (2023). Performance Analysis of RIS/STAR-IOS-Aided V2V NOMA/OMA Communications Over Composite Fading Channels. IEEE Transactions on Intelligent Vehicles. 9(1). 279–286. 31 indexed citations
14.
15.
Martín, Diego, et al.. (2022). Classification of Marine Mammals Using the Trained Multilayer Perceptron Neural Network with the Whale Algorithm Developed with the Fuzzy System. Computational Intelligence and Neuroscience. 2022. 1–21. 11 indexed citations
16.
Kaveh, Masoud, et al.. (2021). An Ultra-Lightweight Mutual Authentication Scheme for Smart Grid Two-Way Communications. IEEE Access. 9. 74562–74573. 20 indexed citations
17.
Kaveh, Masoud, et al.. (2021). An Efficient Design of Anderson PUF by Utilization of the Xilinx Primitives in the SLICEM. IEEE Access. 9. 23025–23034. 17 indexed citations
18.
Mosavi, M. R., et al.. (2021). A New Variance-Covariance Matrix for Improving Positioning Accuracy in High-Speed GPS Receivers. Sensors. 21(21). 7324–7324. 3 indexed citations
19.
Khishe, Mohammad, et al.. (2021). A Weighted Chimp Optimization Algorithm. IEEE Access. 9. 158508–158539. 86 indexed citations
20.
Martín, Diego. (2012). Porque el disfrute es de quien lo trabaja. 2–9.

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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