David Arroyo
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Mathematical Physics top 5%
- Computational Theory and Mathematics top 5%
- Statistical and Nonlinear Physics top 5%
- Co-authors
- Gonzalo ÁlvarezShujun LiFrancisco B. Rodrı́guezChengqing LiRhouma RhoumaVerónica FernándezJosé M. AmigóWolfgang A. Halang
- Topics
- Chaos-based Image/Signal Encryption (17 papers)Cellular Automata and Applications (16 papers)Mathematical Dynamics and Fractals (14 papers)
- Cited by
- Computer Vision and Pattern RecognitionMathematical PhysicsStatistical and Nonlinear Physics
- Partner nations
- SpainGermanyUnited States
In The Last Decade
David Arroyo
49 papers receiving 771 citations
Peers
Comparison fields: 5 of 82
- Computer Vision and Pattern Recognition 500
- Artificial Intelligence 215
- Mathematical Physics 193
- Computational Theory and Mathematics 184
- Statistical and Nonlinear Physics 176
Countries citing papers authored by David Arroyo
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
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-authorship network of co-authors of David Arroyo
This figure shows the co-authorship network connecting the top 25 collaborators of David Arroyo. A scholar is included among the top collaborators of David Arroyo 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 Arroyo. David Arroyo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 13 | |
| 4 | 5 | |
| 5 | 8 | |
| 6 | Regulatory and Market Challenges of Initial Coin Offerings | 3 |
| 7 | 2 | |
| 8 | 28 | |
| 9 | 2 | |
| 10 | 25 | |
| 11 | 5 | |
| 12 | 14 | |
| 13 | 1 | |
| 14 | 24 | |
| 15 | 15 | |
| 16 | 5 | |
| 17 | 78 | |
| 18 | 12 | |
| 19 | 2 | |
| 20 | 14 |
About David Arroyo
David Arroyo is a scholar working on Mathematical Physics, Statistical and Nonlinear Physics and Computational Theory and Mathematics, 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) and Mathematical Dynamics and Fractals (14 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (500 citations), Mathematical Physics (193 citations) and Statistical and Nonlinear Physics (176 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 Lowry A. Kirkby. Their work appears in journals such as Journal of Neuroscience, PLoS ONE and Scientific Reports.
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.