David Megías

1.8k total citations
94 papers, 1.0k citations indexed

About

David Megías is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, David Megías has authored 94 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Computer Vision and Pattern Recognition, 31 papers in Artificial Intelligence and 16 papers in Information Systems. Recurrent topics in David Megías's work include Advanced Steganography and Watermarking Techniques (63 papers), Digital Media Forensic Detection (36 papers) and Chaos-based Image/Signal Encryption (27 papers). David Megías is often cited by papers focused on Advanced Steganography and Watermarking Techniques (63 papers), Digital Media Forensic Detection (36 papers) and Chaos-based Image/Signal Encryption (27 papers). David Megías collaborates with scholars based in Spain, Japan and Algeria. David Megías's co-authors include Mehdi Fallahpour, Josep Domingo‐Ferrer, M. Ghanbari, Jordi Soria-Comas, David Sánchez, Helena Rifà-Pous, Hamza Kheddar, Javier Serrano, Minoru Kuribayashi and Wojciech Mazurczyk and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and ACM Computing Surveys.

In The Last Decade

David Megías

90 papers receiving 950 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Megías Spain 18 698 318 169 159 80 94 1.0k
Ramlan Mahmod Malaysia 15 283 0.4× 404 1.3× 291 1.7× 188 1.2× 202 2.5× 107 778
Steffen Wendzel Germany 14 333 0.5× 495 1.6× 158 0.9× 304 1.9× 298 3.7× 77 771
Bob Price United States 12 242 0.3× 315 1.0× 246 1.5× 112 0.7× 181 2.3× 33 768
Harald Kosch Germany 15 412 0.6× 149 0.5× 179 1.1× 191 1.2× 220 2.8× 109 704
Charalampos Manifavas Greece 13 230 0.3× 319 1.0× 202 1.2× 115 0.7× 347 4.3× 38 730
Tiejian Luo China 14 277 0.4× 396 1.2× 238 1.4× 23 0.1× 58 0.7× 69 709
Maria Indrawan Australia 13 278 0.4× 140 0.4× 224 1.3× 71 0.4× 270 3.4× 64 662
Jay Yagnik United States 11 705 1.0× 329 1.0× 219 1.3× 116 0.7× 81 1.0× 17 981
Qigang Gao Canada 10 151 0.2× 266 0.8× 95 0.6× 45 0.3× 72 0.9× 53 459
Glenn Fink United States 12 224 0.3× 157 0.5× 166 1.0× 91 0.6× 248 3.1× 33 537

Countries citing papers authored by David Megías

Since Specialization
Citations

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

Fields of papers citing papers by David Megías

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Megías

This figure shows the co-authorship network connecting the top 25 collaborators of David Megías. A scholar is included among the top collaborators of David Megías 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 David Megías. David Megías 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.
Kheddar, Hamza, et al.. (2024). Deep learning for steganalysis of diverse data types: A review of methods, taxonomy, challenges and future directions. Neurocomputing. 581. 127528–127528. 24 indexed citations
3.
Megías, David, et al.. (2024). Aletheia: an open-source toolbox forsteganalysis. The Journal of Open Source Software. 9(93). 5982–5982. 1 indexed citations
4.
Megías, David, et al.. (2024). ZIRCON: Zero-watermarking-based approach for data integrity and secure provenance in IoT networks. Journal of Information Security and Applications. 85. 103840–103840. 3 indexed citations
5.
Cogranne, Rémi, et al.. (2024). Toward Universal Detector for Synthesized Images by Estimating Generative AI Models. O2 - Repositori Institucional (Universitat Oberta de Catalunya). 1–6.
6.
Ammi, Meryem, et al.. (2024). Internet of Things-Based Multi-Agent System for the Control of Smart Street Lighting. Electronics. 13(18). 3673–3673. 5 indexed citations
7.
Megías, David, et al.. (2023). Real-world actor-based image steganalysis via classifier inconsistency detection. 1–9. 4 indexed citations
8.
Megías, David, et al.. (2023). Fair and Private Data Preprocessing through Microaggregation. ACM Transactions on Knowledge Discovery from Data. 18(3). 1–24. 1 indexed citations
9.
Megías, David, et al.. (2023). Analysis and effectiveness of deeper levels of SVD on performance of hybrid DWT and SVD watermarking. Multimedia Tools and Applications. 83(2). 3895–3916. 10 indexed citations
10.
Megías, David, et al.. (2022). Subsequent Embedding in Targeted Image Steganalysis: Theoretical Framework and Practical Applications. IEEE Transactions on Dependable and Secure Computing. 20(2). 1403–1421. 13 indexed citations
11.
Megías, David, et al.. (2020). Swapping trajectories with a sufficient sanitizer. Pattern Recognition Letters. 131. 474–480. 3 indexed citations
12.
Megías, David, et al.. (2016). Unsupervised steganalysis based on artificial training sets. Engineering Applications of Artificial Intelligence. 50. 45–59. 48 indexed citations
13.
Rifà-Pous, Helena, et al.. (2013). Security, Privacy and Anonymity in Legal Distribution of Copyrighted Multimedia Content over Peer-to-Peer Networks: A Brief Overview. International Conference on Multimedia Information Networking and Security. 583–587. 2 indexed citations
14.
Megías, David, et al.. (2012). LSB matching steganalysis based on patterns of pixel differences and random embedding. Computers & Security. 32. 192–206. 29 indexed citations
15.
Carracedo, Fermín Sánchez, David Megías, & Josep Prieto. (2011). SiMR: A simulator for learning computer architecture. International journal of engineering education. 27(2). 238–247. 1 indexed citations
16.
Megías, David, et al.. (2009). Free technology academy. 70–74. 5 indexed citations
17.
Megías, David, Jordi Herrera‐Joancomartí, & Julià Minguillón. (2004). A robust frequency domain audio watermarking scheme for monophonic and stereophonic PCM formats. 449–452. 2 indexed citations
18.
Prada, César de, et al.. (2004). Hybrid Control of a Four Tanks System. IFAC Proceedings Volumes. 37(1). 749–754. 2 indexed citations
19.
Megías, David, et al.. (2001). Model predictive control of greenhouse climatic processes using on-line linearisation. 3452–3457. 1 indexed citations
20.
Megías, David. (2000). Robustness aspects of Model Predictive Control. TDX (Tesis Doctorals en Xarxa). 1 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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