N. Boonsatit

512 total citations
23 papers, 373 citations indexed

About

N. Boonsatit is a scholar working on Computer Networks and Communications, Control and Systems Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, N. Boonsatit has authored 23 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Networks and Communications, 7 papers in Control and Systems Engineering and 5 papers in Electrical and Electronic Engineering. Recurrent topics in N. Boonsatit's work include Neural Networks Stability and Synchronization (10 papers), Nonlinear Dynamics and Pattern Formation (5 papers) and Multi-Criteria Decision Making (4 papers). N. Boonsatit is often cited by papers focused on Neural Networks Stability and Synchronization (10 papers), Nonlinear Dynamics and Pattern Formation (5 papers) and Multi-Criteria Decision Making (4 papers). N. Boonsatit collaborates with scholars based in Thailand, India and Australia. N. Boonsatit's co-authors include Grienggrai Rajchakit, Porpattama Hammachukiattikul, Chee Peng Lim, R. Sriraman, Praveen Agarwal, Chutiphon Pukdeboon, Anuwat Jirawattanapanit, M. Syed Ali, Zehba Raizah and Umair Khan and has published in prestigious journals such as IEEE Access, Frontiers in Chemistry and Symmetry.

In The Last Decade

N. Boonsatit

23 papers receiving 355 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
N. Boonsatit Thailand 10 179 97 93 72 70 23 373
Seyed Mehdi Abedi Pahnehkolaei Iran 13 188 1.1× 179 1.8× 165 1.8× 100 1.4× 145 2.1× 19 468
Jason Sheng-Hong Tsai Taiwan 13 131 0.7× 90 0.9× 442 4.8× 83 1.2× 38 0.5× 56 569
Farouk Zouari Tunisia 15 134 0.7× 76 0.8× 345 3.7× 112 1.6× 59 0.8× 29 531
Mohammed M’Saad France 14 116 0.6× 78 0.8× 509 5.5× 88 1.2× 107 1.5× 33 667
Maciej Patan Poland 14 187 1.0× 87 0.9× 302 3.2× 17 0.2× 26 0.4× 56 513
Guoqiang Tan China 11 236 1.3× 108 1.1× 208 2.2× 40 0.6× 139 2.0× 27 387
Chyun‐Chau Fuh Taiwan 12 170 0.9× 88 0.9× 277 3.0× 259 3.6× 48 0.7× 30 589
Behrouz Safarinejadian Iran 14 193 1.1× 167 1.7× 279 3.0× 26 0.4× 62 0.9× 65 492
Konstantinos I. Tsianos Canada 9 464 2.6× 166 1.7× 83 0.9× 19 0.3× 82 1.2× 20 618
Peng Miao China 9 97 0.5× 160 1.6× 277 3.0× 113 1.6× 42 0.6× 28 452

Countries citing papers authored by N. Boonsatit

Since Specialization
Citations

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

Fields of papers citing papers by N. Boonsatit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N. Boonsatit

This figure shows the co-authorship network connecting the top 25 collaborators of N. Boonsatit. A scholar is included among the top collaborators of N. Boonsatit 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 N. Boonsatit. N. Boonsatit is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Boonsatit, N., Muhammad Sohail, Kanit Mukdasai, et al.. (2023). Galerkin computational work on thermally enhancement process in complex rheological generalized theory due to 3D-partially ionized rotational flow. Case Studies in Thermal Engineering. 42. 102709–102709. 3 indexed citations
2.
3.
Sriraman, R., Jihad Younis, Chee Peng Lim, et al.. (2022). A Sampling Load Frequency Control Scheme for Power Systems with Time Delays. Complexity. 2022(1). 1 indexed citations
4.
Altınkaya, Şahsene, et al.. (2022). On a Certain Subclass of Analytic Functions Defined by Touchard Polynomials. Symmetry. 14(4). 838–838. 3 indexed citations
5.
Aamir, Muhammad, et al.. (2022). Forecasting crude oil prices volatility by reconstructing EEMD components using ARIMA and FFNN models. Frontiers in Energy Research. 10. 5 indexed citations
6.
Haq, Izharul, R. Naveen Kumar, J. K. Madhukesh, et al.. (2022). Impact of homogeneous and heterogeneous reactions in the presence of hybrid nanofluid flow on various geometries. Frontiers in Chemistry. 10. 1032805–1032805. 45 indexed citations
7.
Rajchakit, Grienggrai, et al.. (2022). Regularity of Pythagorean neutrosophic graphs with an illustration in MCDM. AIMS Mathematics. 7(5). 9424–9442. 4 indexed citations
8.
9.
Boonsatit, N., et al.. (2021). Neutrosophic Semiopen Hypersoft Sets with an Application to MAGDM under the COVID-19 Scenario. Journal of Mathematics. 2021. 1–16. 9 indexed citations
10.
Lim, Chee Peng, et al.. (2021). TS Fuzzy Robust Sampled-Data Control for Nonlinear Systems with Bounded Disturbances. Computation. 9(12). 132–132. 3 indexed citations
11.
Boonsatit, N., R. Sriraman, Thaned Rojsiraphisal, et al.. (2021). Finite-Time Synchronization of Clifford-Valued Neural Networks With Infinite Distributed Delays and Impulses. IEEE Access. 9. 111050–111061. 20 indexed citations
12.
13.
Ali, M. Syed, et al.. (2021). Synchronization of Fractional Order Uncertain BAM Competitive Neural Networks. Fractal and Fractional. 6(1). 14–14. 19 indexed citations
14.
Hammachukiattikul, Porpattama, et al.. (2021). Pythagorean Nanogeneralized Closed Sets with Application in Decision-Making. Journal of Function Spaces. 2021. 1–8. 2 indexed citations
15.
16.
Rajchakit, Grienggrai, R. Sriraman, N. Boonsatit, et al.. (2021). Global exponential stability of Clifford-valued neural networks with time-varying delays and impulsive effects. Advances in Difference Equations. 2021(1). 68 indexed citations
17.
Rajchakit, Grienggrai, et al.. (2021). Sine Trigonometry Operational Laws for Complex Neutrosophic Sets and Their Aggregation Operators in Material Selection. Computer Modeling in Engineering & Sciences. 130(2). 1033–1076. 1 indexed citations
18.
Rajchakit, Grienggrai, R. Sriraman, N. Boonsatit, et al.. (2021). Exponential stability in the Lagrange sense for Clifford-valued recurrent neural networks with time delays. Advances in Difference Equations. 2021(1). 47 indexed citations
19.
Boonsatit, N., Grienggrai Rajchakit, R. Sriraman, Chee Peng Lim, & Praveen Agarwal. (2021). Finite-/fixed-time synchronization of delayed Clifford-valued recurrent neural networks. Advances in Difference Equations. 2021(1). 46 indexed citations
20.
Boonsatit, N. & Chutiphon Pukdeboon. (2016). Adaptive Fast Terminal Sliding Mode Control of Magnetic Levitation System. Journal of Control Automation and Electrical Systems. 27(4). 359–367. 27 indexed citations

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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