Viet–Thanh Pham
- Statistical and Nonlinear Physics top 0.05%
- Computer Networks and Communications top 0.5%
- Computer Vision and Pattern Recognition top 1%
- Electrical and Electronic Engineering top 5%
- Cognitive Neuroscience top 5%
- Co-authors
- Sajad JafariChristos VolosSundarapandian VaıdyanathanTomasz KapitaniakXiong WangSifeu Takougang KingniAkif AkgülFawaz E. Alsaadi
- Topics
- Chaos control and synchronization (111 papers)Nonlinear Dynamics and Pattern Formation (79 papers)Quantum chaos and dynamical systems (54 papers)
- Cited by
- Statistical and Nonlinear PhysicsComputer Networks and CommunicationsModeling and Simulation
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsIEEE Access
In The Last Decade
Viet–Thanh Pham
157 papers receiving 4.6k citations
Peers
Comparison fields: 5 of 102
- Statistical and Nonlinear Physics 4.2k
- Computer Networks and Communications 2.6k
- Computer Vision and Pattern Recognition 998
- Electrical and Electronic Engineering 669
- Cognitive Neuroscience 494
Countries citing papers authored by Viet–Thanh Pham
This map shows the geographic impact of Viet–Thanh Pham'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 Viet–Thanh Pham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Viet–Thanh Pham more than expected).
Fields of papers citing papers by Viet–Thanh Pham
This network shows the impact of papers produced by Viet–Thanh Pham. 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 Viet–Thanh Pham. The network helps show where Viet–Thanh Pham may publish in the future.
Co-authorship network of co-authors of Viet–Thanh Pham
This figure shows the co-authorship network connecting the top 25 collaborators of Viet–Thanh Pham. A scholar is included among the top collaborators of Viet–Thanh Pham 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 Viet–Thanh Pham. Viet–Thanh Pham is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 5 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 6 | |
| 9 | 8 | |
| 10 | 41 | |
| 11 | 12 | |
| 12 | 9 | |
| 13 | 10 | |
| 14 | 9 | |
| 15 | 42 | |
| 16 | 33 | |
| 17 | 44 | |
| 18 | 31 | |
| 19 | 7 | |
| 20 | 44 |
About Viet–Thanh Pham
Viet–Thanh Pham is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Modeling and Simulation, having authored 164 papers that have together received 4.9k indexed citations. Recurring topics across this work include Chaos control and synchronization (111 papers), Nonlinear Dynamics and Pattern Formation (79 papers) and Quantum chaos and dynamical systems (54 papers). The work is most often cited by research in Statistical and Nonlinear Physics (4.2k citations), Computer Networks and Communications (2.6k citations) and Modeling and Simulation (328 citations). Viet–Thanh Pham has collaborated with scholars based in Vietnam, Greece and Iran. Frequent co-authors include Sajad Jafari, Christos Volos, Sundarapandian Vaıdyanathan, Tomasz Kapitaniak, Xiong Wang, Sifeu Takougang Kingni, Akif Akgül, Fawaz E. Alsaadi, J. C. Sprott and Karthikeyan Rajagopal. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.
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.