Honorio Martín

423 total citations
32 papers, 276 citations indexed

About

Honorio Martín is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Honorio Martín has authored 32 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Hardware and Architecture, 16 papers in Electrical and Electronic Engineering and 10 papers in Artificial Intelligence. Recurrent topics in Honorio Martín's work include Physical Unclonable Functions (PUFs) and Hardware Security (17 papers), Cryptographic Implementations and Security (8 papers) and Chaos-based Image/Signal Encryption (7 papers). Honorio Martín is often cited by papers focused on Physical Unclonable Functions (PUFs) and Hardware Security (17 papers), Cryptographic Implementations and Security (8 papers) and Chaos-based Image/Signal Encryption (7 papers). Honorio Martín collaborates with scholars based in Spain, France and Iran. Honorio Martín's co-authors include Pedro Peris‐Lopez, Enrique San Millán, Luis Entrena, Juan Tapiador, Michael Hutter, Thomas Korak, Carmen Cámara, Pedro Martín‐Holgado, Giorgio Di Natale and Yolanda Morilla and has published in prestigious journals such as IEEE Access, Sensors and IEEE Transactions on Industrial Informatics.

In The Last Decade

Honorio Martín

26 papers receiving 265 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Honorio Martín Spain 11 122 104 97 97 42 32 276
Enrique San Millán Spain 11 164 1.3× 117 1.1× 109 1.1× 192 2.0× 32 0.8× 36 367
Somitra Kumar Sanadhya India 10 140 1.1× 128 1.2× 123 1.3× 101 1.0× 30 0.7× 35 332
M. B. Abdelhalim Egypt 10 121 1.0× 80 0.8× 110 1.1× 135 1.4× 86 2.0× 60 371
Dooho Choi South Korea 13 112 0.9× 86 0.8× 217 2.2× 100 1.0× 112 2.7× 66 418
Ramesh Bhakthavatchalu India 10 209 1.7× 44 0.4× 63 0.6× 228 2.4× 52 1.2× 70 361
Marc Duranton France 12 151 1.2× 69 0.7× 93 1.0× 177 1.8× 110 2.6× 36 376
Ahmed Sanaullah United States 12 188 1.5× 96 0.9× 110 1.1× 186 1.9× 105 2.5× 28 407
Wenping Zhu China 10 42 0.3× 122 1.2× 137 1.4× 117 1.2× 18 0.4× 34 306
Guohao Dai China 10 113 0.9× 160 1.5× 157 1.6× 199 2.1× 84 2.0× 46 432
Madhura Purnaprajna India 8 97 0.8× 47 0.5× 66 0.7× 114 1.2× 107 2.5× 34 290

Countries citing papers authored by Honorio Martín

Since Specialization
Citations

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

Fields of papers citing papers by Honorio Martín

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Honorio Martín

This figure shows the co-authorship network connecting the top 25 collaborators of Honorio Martín. A scholar is included among the top collaborators of Honorio 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 Honorio Martín. Honorio 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.
Cámara, Carmen, et al.. (2025). AI-Driven Device Fingerprinting Using On-Chip Monitoring Sensors: A Novel Time Series-Based Approach. IEEE Sensors Journal. 25(7). 12064–12075.
2.
Martín, Honorio, et al.. (2024). Stimulated Microcontroller Dataset for New IoT Device Identification Schemes through On-Chip Sensor Monitoring. Data. 9(5). 62–62. 1 indexed citations
3.
Martín, Honorio, et al.. (2023). SRAM-Based PUF Readouts. Scientific Data. 10(1). 333–333. 7 indexed citations
4.
García-Astudillo, Luis A., Almudena Lindoso, Luis Entrena, et al.. (2023). Evaluating Reduced Resolution Redundancy for Radiation Hardening in FPGA Designs. IEEE Transactions on Nuclear Science. 70(8). 2060–2067. 2 indexed citations
5.
Bagheri, Nasour, Behnam Ghavami, Ygal Bendavid, et al.. (2023). Correction to: Using a privacy‑enhanced authentication process to secure IoT‑based smart grid infrastructures. The Journal of Supercomputing. 80(2). 2914–2915.
6.
7.
Bagheri, Nasour, et al.. (2022). Challenging the security of “A PUF-based hardware mutual authentication protocol”. Journal of Parallel and Distributed Computing. 169. 199–210. 7 indexed citations
8.
García-Astudillo, Luis A., Luis Entrena, Almudena Lindoso, et al.. (2022). Analyzing Reduced Precision Triple Modular Redundancy Under Proton Irradiation. IEEE Transactions on Nuclear Science. 69(3). 470–477. 10 indexed citations
9.
García-Astudillo, Luis A., Almudena Lindoso, Luis Entrena, et al.. (2022). Analyzing Scaled Reduced Precision Redundancy for Error Mitigation Under Proton Irradiation. IEEE Transactions on Nuclear Science. 69(7). 1485–1491. 2 indexed citations
10.
García-Astudillo, Luis A., Luis Entrena, Almudena Lindoso, & Honorio Martín. (2022). Reduced Resolution Redundancy: A Novel Approximate Error Mitigation Technique. IEEE Access. 10. 20643–20651. 3 indexed citations
11.
Martín, Honorio, Sophie Dupuis, Giorgio Di Natale, & Luis Entrena. (2021). Using Approximate Circuits Against Hardware Trojans. IEEE Design and Test. 40(3). 8–16.
12.
Mala, Hamid, et al.. (2020). Full-Resilient Memory-Optimum Multi-Party Non-Interactive Key Exchange. IEEE Access. 8. 8821–8833. 1 indexed citations
13.
Cámara, Carmen, Honorio Martín, Pedro Peris‐Lopez, & Luis Entrena. (2020). A True Random Number Generator Based on Gait Data for the Internet of You. IEEE Access. 8. 71642–71651. 7 indexed citations
14.
Cámara, Carmen, et al.. (2019). Design and Analysis of a True Random Number Generator Based on GSR Signals for Body Sensor Networks. Sensors. 19(9). 2033–2033. 11 indexed citations
15.
Martín, Honorio, Pedro Peris‐Lopez, Giorgio Di Natale, Mottaqiallah Taouil, & Said Hamdioui. (2019). Enhancing PUF Based Challenge–Response Sets by Exploiting Various Background Noise Configurations. Electronics. 8(2). 145–145. 4 indexed citations
16.
Martín, Honorio, Pedro Martín‐Holgado, Pedro Peris‐Lopez, Yolanda Morilla, & Luis Entrena. (2018). On the Entropy of Oscillator-Based True Random Number Generators under Ionizing Radiation. Entropy. 20(7). 513–513. 13 indexed citations
17.
Cámara, Carmen, et al.. (2018). ECG-RNG: A Random Number Generator Based on ECG Signals and Suitable for Securing Wireless Sensor Networks. Sensors. 18(9). 2747–2747. 17 indexed citations
18.
Martín, Honorio, Pedro Martín‐Holgado, Yolanda Morilla, Luis Entrena, & Enrique San Millán. (2018). Total Ionizing Dose Effects on a Delay-Based Physical Unclonable Function Implemented in FPGAs. Electronics. 7(9). 163–163. 14 indexed citations
19.
Martín, Honorio, Luis Entrena, Sophie Dupuis, & Giorgio Di Natale. (2018). A Novel Use of Approximate Circuits to Thwart Hardware Trojan Insertion and Provide Obfuscation. SPIRE - Sciences Po Institutional REpository. 41–42. 4 indexed citations
20.
Martín, Honorio, Giorgio Di Natale, & Luis Entrena. (2017). Towards a Dependable True Random Number Generator With Self-Repair Capabilities. IEEE Transactions on Circuits and Systems I Regular Papers. 65(1). 247–256. 7 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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