Cuauhtémoc Mancillas-López
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- Chaos-based Image/Signal Encryption 16
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- Advanced Mathematical Theories and Applications 1
- Chaos control and synchronization 1
- Artificial Intelligence top 10%
- Cryptographic Implementations and Security 19
- Coding theory and cryptography 14
- Cryptography and Data Security 7
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- Polynomial and algebraic computation 1
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- IoT-based Smart Home Systems 1
- Co-authors
- Luis Gerardo de la FragaEsteban Tlelo‐CuautleDebrup ChakrabortyMridul NandiNilanjan DattaPalash SarkarLilian BossuetFrancisco Rodríguez‐Henríquez
- Cited by
- Computer Vision and Pattern RecognitionStatistical and Nonlinear PhysicsHardware and Architecture
In The Last Decade
Cuauhtémoc Mancillas-López
21 papers receiving 252 citations
Peers
Comparison fields: 5 of 21
- Computer Vision and Pattern Recognition 193
- Statistical and Nonlinear Physics 85
- Hardware and Architecture 28
- Artificial Intelligence 129
- Computational Theory and Mathematics 56
Countries citing papers authored by Cuauhtémoc Mancillas-López
This map shows the geographic impact of Cuauhtémoc Mancillas-López'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 Cuauhtémoc Mancillas-López with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cuauhtémoc Mancillas-López more than expected).
Fields of papers citing papers by Cuauhtémoc Mancillas-López
This network shows the impact of papers produced by Cuauhtémoc Mancillas-López. 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 Cuauhtémoc Mancillas-López. The network helps show where Cuauhtémoc Mancillas-López may publish in the future.
Co-authorship network
The 14 scholars most cited alongside Cuauhtémoc Mancillas-López, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 3 | |
| 5 | 2021 | 3 | |
| 6 | 2021 | 35 | |
| 7 | 2021 | 3 | |
| 8 | 2020 | 4 | |
| 9 | 2020 | 4 | |
| 10 | 2020 | 0 | |
| 11 | 2020 | 3 | |
| 12 | 2020 | 4 | |
| 13 | 2019 | 1 | |
| 14 | 2018 | 8 | |
| 15 | 2017 | 4 | |
| 16 | 2017 | 107 | |
| 17 | 2016 | 16 | |
| 18 | 2014 | 9 | |
| 19 | 2011 | 11 | |
| 20 | 2010 | 15 |
About Cuauhtémoc Mancillas-López
Cuauhtémoc Mancillas-López is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 23 papers that have together received 260 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (19 papers), Chaos-based Image/Signal Encryption (16 papers), Coding theory and cryptography (14 papers), Cryptography and Data Security (7 papers), Advanced Mathematical Theories and Applications (1 paper), Chaos control and synchronization (1 paper), Polynomial and algebraic computation (1 paper) and IoT-based Smart Home Systems (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (193 citations), Statistical and Nonlinear Physics (85 citations) and Hardware and Architecture (28 citations). Cuauhtémoc Mancillas-López has collaborated with scholars based in Mexico, India and France. Frequent co-authors include Luis Gerardo de la Fraga, Esteban Tlelo‐Cuautle, Debrup Chakraborty, Mridul Nandi, Nilanjan Datta, Palash Sarkar, Lilian Bossuet, Francisco Rodríguez‐Henríquez, Yu Sasaki and Erkay Savaş. Their work appears in journals such as IEEE Transactions on Computers, Nonlinear Dynamics, IACR Transactions on Symmetric Cryptology, Advances in Mathematics of Communications and Journal of Cryptographic Engineering.
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.