David Megías

163 total papers · 1.8k total citations
93 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 93 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, 30 papers in Artificial Intelligence and 15 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 Poland. David Megías's co-authors include Mehdi Fallahpour, Josep Domingo‐Ferrer, M. Ghanbari, David Sánchez, Jordi Soria-Comas, 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 International Journal of Remote Sensing.

In The Last Decade

David Megías

90 papers receiving 940 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
David Megías 698 309 162 158 79 93 1.0k
Zhengquan Xu 578 0.8× 194 0.6× 137 0.8× 165 1.0× 135 1.7× 72 886
Ming Xu 439 0.6× 343 1.1× 250 1.5× 316 2.0× 327 4.1× 123 1.1k
Robert R. Korfhage 348 0.5× 458 1.5× 348 2.1× 159 1.0× 106 1.3× 73 941
H. Vicky Zhao 577 0.8× 218 0.7× 139 0.9× 233 1.5× 253 3.2× 109 1.2k
William I. Grosky 735 1.1× 300 1.0× 145 0.9× 326 2.1× 198 2.5× 116 1.2k
Li Zhu 301 0.4× 411 1.3× 226 1.4× 44 0.3× 86 1.1× 93 959
Divakar Yadav 232 0.3× 522 1.7× 245 1.5× 67 0.4× 65 0.8× 107 1.0k
Wei Xu 318 0.5× 591 1.9× 224 1.4× 247 1.6× 143 1.8× 40 861
Gongshen Liu 353 0.5× 592 1.9× 195 1.2× 86 0.5× 102 1.3× 93 1.0k
Yuyu Luo 503 0.7× 520 1.7× 203 1.3× 160 1.0× 122 1.5× 50 1.0k

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

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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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