P. Saratchandran

8.1k total citations · 2 hit papers
89 papers, 6.1k citations indexed

About

P. Saratchandran is a scholar working on Artificial Intelligence, Control and Systems Engineering and Signal Processing. According to data from OpenAlex, P. Saratchandran has authored 89 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Artificial Intelligence, 36 papers in Control and Systems Engineering and 19 papers in Signal Processing. Recurrent topics in P. Saratchandran's work include Neural Networks and Applications (57 papers), Machine Learning and ELM (22 papers) and Blind Source Separation Techniques (18 papers). P. Saratchandran is often cited by papers focused on Neural Networks and Applications (57 papers), Machine Learning and ELM (22 papers) and Blind Source Separation Techniques (18 papers). P. Saratchandran collaborates with scholars based in Singapore, India and United Kingdom. P. Saratchandran's co-authors include Guang-Bin Huang, N. Sundararajan, N. Sundararajan, Nanying Liang, Hai-Jun Rong, Suresh Sundaram, Runxuan Zhang, Abhay A. Pashilkar, Yan Li and Qinyu Zhu and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and Information Sciences.

In The Last Decade

P. Saratchandran

87 papers receiving 5.8k citations

Hit Papers

A Fast and Accurate Online Sequential Learning Algorithm ... 2005 2026 2012 2019 2006 2005 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. Saratchandran Singapore 30 4.4k 1.6k 1.2k 933 476 89 6.1k
N. Sundararajan Singapore 36 3.5k 0.8× 1.5k 0.9× 995 0.8× 793 0.8× 452 0.9× 181 5.5k
Chia‐Feng Juang Taiwan 44 4.4k 1.0× 2.4k 1.5× 820 0.7× 1.2k 1.3× 253 0.5× 168 7.1k
Esmat Rashedi Iran 19 4.4k 1.0× 1.1k 0.7× 1.6k 1.3× 1.1k 1.1× 255 0.5× 45 7.6k
Caro Lucas Iran 34 2.4k 0.5× 1.4k 0.9× 1.2k 1.0× 470 0.5× 351 0.7× 181 6.2k
Les Atlas United States 31 2.8k 0.6× 1.0k 0.7× 1.5k 1.2× 1.0k 1.1× 1.3k 2.8× 173 6.2k
Marc Peter Deisenroth United Kingdom 26 2.9k 0.7× 1.9k 1.2× 808 0.6× 858 0.9× 202 0.4× 73 6.0k
Danil Prokhorov United States 33 1.8k 0.4× 1.5k 0.9× 1.3k 1.0× 795 0.9× 243 0.5× 143 5.4k
Bogdan M. Wilamowski United States 33 1.7k 0.4× 1.3k 0.8× 1.4k 1.1× 464 0.5× 197 0.4× 183 4.6k
Mohammad Teshnehlab Iran 33 1.8k 0.4× 1.1k 0.7× 773 0.6× 616 0.7× 208 0.4× 285 4.2k
Chee‐Kheong Siew Singapore 7 4.5k 1.0× 676 0.4× 1.7k 1.4× 1.1k 1.2× 129 0.3× 16 5.9k

Countries citing papers authored by P. Saratchandran

Since Specialization
Citations

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

Fields of papers citing papers by P. Saratchandran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Saratchandran

This figure shows the co-authorship network connecting the top 25 collaborators of P. Saratchandran. A scholar is included among the top collaborators of P. Saratchandran 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 P. Saratchandran. P. Saratchandran 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.
Saratchandran, P., et al.. (2020). Chaos in a cyclic three-species predator–prey system with a partial consumption of superpredator. Pramana. 94(1). 3 indexed citations
2.
Rong, Hai-Jun, Guang-Bin Huang, N. Sundararajan, & P. Saratchandran. (2009). Online Sequential Fuzzy Extreme Learning Machine for Function Approximation and Classification Problems. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 39(4). 1067–1072. 277 indexed citations
3.
Liang, Nanying, Guang-Bin Huang, P. Saratchandran, & N. Sundararajan. (2006). A Fast and Accurate Online Sequential Learning Algorithm for Feedforward Networks. IEEE Transactions on Neural Networks. 17(6). 1411–1423. 1522 indexed citations breakdown →
4.
Huang, Guang-Bin, Nanying Liang, Hai-Jun Rong, P. Saratchandran, & N. Sundararajan. (2005). On-Line Sequential Extreme Learning Machine. Computational intelligence. 13. 232–237. 147 indexed citations
5.
Huang, Guang-Bin, P. Saratchandran, & N. Sundararajan. (2005). A Generalized Growing and Pruning RBF (GGAP-RBF) Neural Network for Function Approximation. IEEE Transactions on Neural Networks. 16(1). 57–67. 508 indexed citations breakdown →
6.
Pashilkar, Abhay A., N. Sundararajan, & P. Saratchandran. (2005). A fault-tolerant neural aided controller for aircraft auto-landing. Aerospace Science and Technology. 10(1). 49–61. 54 indexed citations
7.
Huang, Guang-Bin, P. Saratchandran, & N. Sundararajan. (2004). An Efficient Sequential Learning Algorithm for Growing and Pruning RBF (GAP-RBF) Networks. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 34(6). 2284–2292. 303 indexed citations
8.
Sundararajan, N., et al.. (2002). Communication channel equalization using complex-valued minimal radial basis function neural networks. IEEE Transactions on Neural Networks. 13(3). 687–696. 88 indexed citations
9.
Sundararajan, N., P. Saratchandran, & Yan Li. (2002). A Review of Nonlinear Adaptive Neural Control Schemes. 1–24.
10.
Li, Yan, N. Sundararajan, & P. Saratchandran. (2001). Neuro-Flight Controllers for Aircraft Using Minimal Resource Allocating Networks (MRAN). Neural Computing and Applications. 10(2). 172–183. 14 indexed citations
11.
Abeyratne, Udantha R., et al.. (2000). RBF Networks for Source Localization in Quantitative Electrophysiology. Critical Reviews in Biomedical Engineering. 28(3-4). 463–472. 6 indexed citations
12.
Sundararajan, N., et al.. (1999). Radial Basis Function Neural Networks with Sequential Learning. 66 indexed citations
13.
Sundararajan, N., et al.. (1998). Nonlinear aircraft control using a minimal radial basis function neural network. 2589–2590 vol.4. 4 indexed citations
14.
Saratchandran, P., et al.. (1997). Parallel implementation of backpropagation neural networks on a heterogeneous array of transputers. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 27(1). 118–126. 8 indexed citations
15.
Gan, John Q., et al.. (1996). Design for centres of RBF neural networks for fasttime-varying channel equalisation. Electronics Letters. 32(25). 2333–2334. 5 indexed citations
17.
Saratchandran, P., et al.. (1996). Dynamics of the logistic map under discrete parametric perturbation. Pramana. 47(5). 339–345. 5 indexed citations
18.
Saratchandran, P.. (1993). Effect of hidden layers on generalization properties of feedforward neural networks.. 1. 227–240. 2 indexed citations
19.
Saratchandran, P.. (1992). Comments on "Dynamic Programming Approach to Optimal Weight Selection in Multilayer Neural Networks". 1 indexed citations
20.
Saratchandran, P.. (1980). On the performance of an adaptive controller under different estimators. IEEE Transactions on Automatic Control. 17(17). 106. 1 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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