Pharunyou Chanthorn
-
- Neural Networks Stability and Synchronization 9
- Distributed Control Multi-Agent Systems 2
-
- stochastic dynamics and bifurcation 2
- Modeling and Simulation top 5%
- Artificial Intelligence top 5%
- Neural Networks and Applications 4
- Control and Systems Engineering top 10%
- Stability and Control of Uncertain Systems 2
-
- Advanced Memory and Neural Computing 6
-
- Fixed Point Theorems Analysis 2
-
- Statistical and numerical algorithms 1
- Co-authors
- Grienggrai RajchakitR. SriramanChee Peng LimR. RajaPratap AnbalaganMichał NiezabitowskiR. SamiduraiDumitru Bǎleanu
In The Last Decade
Pharunyou Chanthorn
10 papers receiving 585 citations
Peers
Comparison fields: 5 of 39
- Computer Networks and Communications 480
- Statistical and Nonlinear Physics 206
- Modeling and Simulation 45
- Artificial Intelligence 212
- Control and Systems Engineering 131
Countries citing papers authored by Pharunyou Chanthorn
This map shows the geographic impact of Pharunyou Chanthorn'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 Pharunyou Chanthorn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pharunyou Chanthorn more than expected).
Fields of papers citing papers by Pharunyou Chanthorn
This network shows the impact of papers produced by Pharunyou Chanthorn. 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 Pharunyou Chanthorn. The network helps show where Pharunyou Chanthorn may publish in the future.
Co-authorship network
The 9 scholars most cited alongside Pharunyou Chanthorn, 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 | 2023 | 0 | |
| 2 | Quadratic Transformations of Multivariate Semi-Copulas | 2020 | 0 |
| 3 | 2020 | 96 | |
| 4 | 2020 | 47 | |
| 5 | 2020 | 44 | |
| 6 | 2020 | 62 | |
| 7 | 2020 | 45 | |
| 8 | 2020 | 3 | |
| 9 | 2020 | 20 | |
| 10 | 2020 | 72 | |
| 11 | 2020 | 38 | |
| 12 | 2020 | 165 | |
| 13 | Quadratic Transformations of Copula Density and Probability Density | 2019 | 0 |
About Pharunyou Chanthorn
Pharunyou Chanthorn is a scholar working on Computer Networks and Communications, Geometry and Topology and Modeling and Simulation, having authored 13 papers that have together received 592 indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (9 papers), Advanced Memory and Neural Computing (6 papers), Neural Networks and Applications (4 papers), stochastic dynamics and bifurcation (2 papers), Stability and Control of Uncertain Systems (2 papers), Fixed Point Theorems Analysis (2 papers), Distributed Control Multi-Agent Systems (2 papers) and Statistical and numerical algorithms (1 paper). The work is most often cited by research in Computer Networks and Communications (480 citations), Statistical and Nonlinear Physics (206 citations) and Modeling and Simulation (45 citations). Pharunyou Chanthorn has collaborated with scholars based in Thailand, India and Australia. Frequent co-authors include Grienggrai Rajchakit, R. Sriraman, Chee Peng Lim, R. Raja, Pratap Anbalagan, Michał Niezabitowski, R. Samidurai, Dumitru Bǎleanu and Usa Wannasingha Humphries. Their work appears in journals such as Neurocomputing, Symmetry and Mathematics.
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.