Juan M. Vilardy

516 total citations
42 papers, 370 citations indexed

About

Juan M. Vilardy is a scholar working on Computer Vision and Pattern Recognition, Applied Mathematics and Mathematical Physics. According to data from OpenAlex, Juan M. Vilardy has authored 42 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Vision and Pattern Recognition, 11 papers in Applied Mathematics and 8 papers in Mathematical Physics. Recurrent topics in Juan M. Vilardy's work include Chaos-based Image/Signal Encryption (30 papers), Advanced Steganography and Watermarking Techniques (17 papers) and Mathematical Analysis and Transform Methods (11 papers). Juan M. Vilardy is often cited by papers focused on Chaos-based Image/Signal Encryption (30 papers), Advanced Steganography and Watermarking Techniques (17 papers) and Mathematical Analysis and Transform Methods (11 papers). Juan M. Vilardy collaborates with scholars based in Colombia and Spain. Juan M. Vilardy's co-authors include Elisabet Pérez–Cabré, Marı́a S. Millán, César O. Torres, Jaime Frejlich, Inmaculada Pascual, Marta Morales‐Vidal, Niklaus Ursus Wetter, R. Torres and Ricardo Torres and has published in prestigious journals such as Sensors, Polymers and Optics and Lasers in Engineering.

In The Last Decade

Juan M. Vilardy

39 papers receiving 355 citations

Peers

Juan M. Vilardy
Comparison fields: 5 of 43
  • Computer Vision and Pattern Recognition 321
  • Artificial Intelligence 95
  • Atomic and Molecular Physics, and Optics 79
  • Mathematical Physics 60
  • Applied Mathematics 58
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Madhusudan Joshi India
Yurong Wang China
Zhipeng Wang China
Yonggang Su China
Dezhao Kong China
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Sira Ferradans Spain
Kunshu Wang China
Isha Mehra India View profile →
Citations per field, relative to Juan M. Vilardy
Juan M. Vilardy · 1×
Citations per year, relative to Juan M. Vilardy
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Countries citing papers authored by Juan M. Vilardy

Since Specialization
Citations

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

Fields of papers citing papers by Juan M. Vilardy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Juan M. Vilardy. 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 Juan M. Vilardy. The network helps show where Juan M. Vilardy may publish in the future.

Co-authorship network of co-authors of Juan M. Vilardy

This figure shows the co-authorship network connecting the top 25 collaborators of Juan M. Vilardy. A scholar is included among the top collaborators of Juan M. Vilardy 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 Juan M. Vilardy. Juan M. Vilardy 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
# Work Indexed citations
1 7
2 1
3 0
4 12
5 4
6 2
7 1
8 1
9 4
10 1
11 42
12 1
13 52
14 11
15 14
16 0
17 12
18 4
19
Obtención experimental y simulación digital de la ley de bragg por medio de la óptica de fourier
1
20
MODOS DE PROPAGACIÓN EN UNA FIBRA ÓPTICA DE INDICE DE PERFIL ESCALONADO
0

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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