A. Martı́n del Rey

2.2k total citations
98 papers, 1.2k citations indexed

About

A. Martı́n del Rey is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, A. Martı́n del Rey has authored 98 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computational Theory and Mathematics, 24 papers in Computer Networks and Communications and 18 papers in Computer Vision and Pattern Recognition. Recurrent topics in A. Martı́n del Rey's work include Cellular Automata and Applications (30 papers), Network Security and Intrusion Detection (18 papers) and Chaos-based Image/Signal Encryption (17 papers). A. Martı́n del Rey is often cited by papers focused on Cellular Automata and Applications (30 papers), Network Security and Intrusion Detection (18 papers) and Chaos-based Image/Signal Encryption (17 papers). A. Martı́n del Rey collaborates with scholars based in Spain, Sri Lanka and Argentina. A. Martı́n del Rey's co-authors include Gerardo Rodríguez, Luis Hernández Encinas, Sara Hoya White, Ascensión Hernández Encinas, Araceli Queiruga‐Dios, Roberto Casado‐Vara, Juan M. Corchado, Elisa Frutos‐Bernal, Gonzalo Álvarez and Víctor Gayoso Martínez and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

A. Martı́n del Rey

85 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Martı́n del Rey Spain 20 347 270 223 205 174 98 1.2k
Yi Zhao China 23 191 0.6× 115 0.4× 364 1.6× 148 0.7× 173 1.0× 137 1.7k
Robert E. Kooij Netherlands 23 656 1.9× 123 0.5× 1.0k 4.7× 434 2.1× 153 0.9× 105 2.3k
Peican Zhu China 23 163 0.5× 63 0.2× 447 2.0× 117 0.6× 130 0.7× 115 1.5k
Hamidou Tembiné United States 24 734 2.1× 49 0.2× 246 1.1× 164 0.8× 70 0.4× 143 2.1k
Joydip Dhar India 22 303 0.9× 30 0.1× 196 0.9× 641 3.1× 110 0.6× 152 1.6k
David J. Marchette United States 20 307 0.9× 64 0.2× 288 1.3× 85 0.4× 186 1.1× 72 1.3k
Mohammad Masoud Javidi Iran 27 652 1.9× 139 0.5× 354 1.6× 123 0.6× 147 0.8× 109 2.1k
Jean‐Charles Delvenne Belgium 23 515 1.5× 161 0.6× 1.0k 4.6× 46 0.2× 114 0.7× 94 2.2k
Dawei Zhao China 25 574 1.7× 80 0.3× 718 3.2× 184 0.9× 309 1.8× 162 2.4k

Countries citing papers authored by A. Martı́n del Rey

Since Specialization
Citations

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

Fields of papers citing papers by A. Martı́n del Rey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. Martı́n del Rey. 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 A. Martı́n del Rey. The network helps show where A. Martı́n del Rey may publish in the future.

Co-authorship network of co-authors of A. Martı́n del Rey

This figure shows the co-authorship network connecting the top 25 collaborators of A. Martı́n del Rey. A scholar is included among the top collaborators of A. Martı́n del Rey 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 A. Martı́n del Rey. A. Martı́n del Rey 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.
Casado‐Vara, Roberto, et al.. (2024). Dynamic Malware Mitigation Strategies for IoT Networks: A Mathematical Epidemiology Approach. Mathematics. 12(2). 250–250. 5 indexed citations
2.
Casado‐Vara, Roberto, et al.. (2023). A Comparison of Monte Carlo-Based and PINN Parameter Estimation Methods for Malware Identification in IoT Networks. SHILAP Revista de lepidopterología. 11(5). 133–133. 3 indexed citations
3.
Frutos‐Bernal, Elisa, et al.. (2023). Analyzing Malware Propagation on Wireless Sensor Networks: A New Approach Using Queueing Theory and HJ-Biplot with a SIRS Model. Mathematics. 12(1). 135–135. 1 indexed citations
4.
Frutos‐Bernal, Elisa, et al.. (2022). An Analysis of Travel Patterns in Barcelona Metro Using Tucker3 Decomposition. Mathematics. 10(7). 1122–1122. 2 indexed citations
5.
Frutos‐Bernal, Elisa, et al.. (2021). A Mathematical Study of Barcelona Metro Network. Electronics. 10(5). 557–557. 9 indexed citations
6.
Casado‐Vara, Roberto, et al.. (2021). Web Traffic Time Series Forecasting Using LSTM Neural Networks with Distributed Asynchronous Training. Mathematics. 9(4). 421–421. 41 indexed citations
7.
Rey, A. Martı́n del, et al.. (2021). Propagation of the Malware Used in APTs Based on Dynamic Bayesian Networks. Mathematics. 9(23). 3097–3097. 2 indexed citations
8.
Rey, A. Martı́n del, et al.. (2020). On the Optimal Control of a Malware Propagation Model. Mathematics. 8(9). 1518–1518. 2 indexed citations
9.
Frutos‐Bernal, Elisa, A. Martı́n del Rey, & Purificación Galindo‐Villardón. (2020). Analysis of Madrid Metro Network: From Structural to HJ-Biplot Perspective. Applied Sciences. 10(16). 5689–5689. 10 indexed citations
10.
Casado‐Vara, Roberto, A. Martı́n del Rey, Ricardo S. Alonso, Saber Trabelsi, & Juan M. Corchado. (2020). A New Stability Criterion for IoT Systems in Smart Buildings: Temperature Case Study. Mathematics. 8(9). 1412–1412. 5 indexed citations
11.
Rey, A. Martı́n del, et al.. (2019). Reversibility of Symmetric Linear Cellular Automata with Radius r = 3. Mathematics. 7(9). 816–816. 5 indexed citations
12.
Casado‐Vara, Roberto, et al.. (2019). Smart Buildings IoT Networks Accuracy Evolution Prediction to Improve Their Reliability Using a Lotka–Volterra Ecosystem Model. Sensors. 19(21). 4642–4642. 6 indexed citations
13.
Rey, A. Martı́n del, et al.. (2019). Security Countermeasures of a SCIRAS Model for Advanced Malware Propagation. IEEE Access. 7. 135472–135478. 12 indexed citations
14.
Frutos‐Bernal, Elisa & A. Martı́n del Rey. (2019). Study of the Structural and Robustness Characteristics of Madrid Metro Network. Sustainability. 11(12). 3486–3486. 24 indexed citations
15.
Rey, A. Martı́n del, et al.. (2017). Simulación de la propagación de un brote por Acinetobacter baumannii en entornos hospitalarios. Revista española de quimioterapia. Suplemento. 30(6). 443–449. 1 indexed citations
16.
Rey, A. Martı́n del. (2015). A note on the reversibility of the elementary cellular automaton with rule number 90. Revista de la Unión Matemática Argentina. 56(1). 107–125. 4 indexed citations
17.
Rey, A. Martı́n del, et al.. (2013). Yes, We Can - (Can We Change the Evaluation Methods in Mathematics?).. 659–668.
18.
Rey, A. Martı́n del & Gerardo Rodríguez. (2008). On the Security of "Golden" Cryptography. International journal of network security. 7(3). 448–450. 6 indexed citations
19.
Encinas, Luis Hernández, Sara Hoya White, A. Martı́n del Rey, & Gerardo Rodríguez. (2006). Modelling forest fire spread using hexagonal cellular automata. Applied Mathematical Modelling. 31(6). 1213–1227. 96 indexed citations
20.
Rey, A. Martı́n del. (2005). Design of a Cryptosystem Based on Reversible Memory Cellular Automata. 4. 482–486.

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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