David Arroyo

49 papers receiving 771 citations

Peers

David Arroyo
Comparison fields: 5 of 82
  • Computer Vision and Pattern Recognition 500
  • Mathematical Physics 193
  • Statistical and Nonlinear Physics 176
  • Computational Theory and Mathematics 184
  • Artificial Intelligence 215
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Yueping Li China
Wenhao Liu United States
Walter A. Kosters Netherlands
Dragan Lambić Serbia
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Citations per field
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Citations per year

Countries citing papers authored by David Arroyo

Since Specialization
Citations

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

Fields of papers citing papers by David Arroyo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David Arroyo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David Arroyo Line = papers co-authored together David Arroyo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008118
2 201292
3 200878
4 201040
5 202136
6 202135
7 201031
8 201628
9 200727
10 202126
11 201325
12 201024
13 202122
14 200918
15 201718
16 200915
17 201214
18 200514
19 200914
20 202413

About David Arroyo

David Arroyo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Theory and Mathematics, Mathematical Physics and Statistical and Nonlinear Physics, having authored 51 papers that have together received 822 indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (17 papers), Cellular Automata and Applications (16 papers), Mathematical Dynamics and Fractals (14 papers), Chaos control and synchronization (14 papers), Internet Traffic Analysis and Secure E-voting (7 papers), Blockchain Technology Applications and Security (6 papers), Network Security and Intrusion Detection (3 papers) and Cryptography and Data Security (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (500 citations), Mathematical Physics (193 citations), Statistical and Nonlinear Physics (176 citations), Computational Theory and Mathematics (184 citations) and Artificial Intelligence (215 citations). David Arroyo has collaborated with scholars based in Spain, Germany and United States. Frequent co-authors include Gonzalo Álvarez, Shujun Li, Francisco B. Rodrı́guez, Chengqing Li, Rhouma Rhouma, Verónica Fernández, José M. Amigó, Wolfgang A. Halang, Kwok‐Tung Lo and Marla B. Feller. Their work appears in journals such as Chaos Solitons & Fractals, Chaos An Interdisciplinary Journal of Nonlinear Science, Scientific Reports, Logic Journal of IGPL and Communications in Nonlinear Science and Numerical Simulation.

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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