Single hidden layer artificial neural network models versus multiple linear regression model in forecasting the time series of total ozone G Bandyopadhyay, S Chattopadhyay International Journal of Environmental Science & Technology 4 (1), 141-149, 2007 | 97 | 2007 |

Feed forward Artificial Neural Network model to predict the average summer-monsoon rainfall in India S Chattopadhyay Acta Geophysica 55 (3), 369-382, 2007 | 87 | 2007 |

Univariate modelling of summer-monsoon rainfall time series: comparison between ARIMA and ARNN S Chattopadhyay, G Chattopadhyay Comptes Rendus Geoscience 342 (2), 100-107, 2010 | 76 | 2010 |

Emergent universe in the chameleon, f (R) and f (T) gravity theories S Chattopadhyay, U Debnath International Journal of Modern Physics D 20 (06), 1135-1152, 2011 | 63 | 2011 |

Reconstruction of f (G) gravity with the new agegraphic dark-energy model A Jawad, S Chattopadhyay, A Pasqua The European Physical Journal Plus 128 (8), 88, 2013 | 58 | 2013 |

Correspondence between f (G) gravity and holographic dark energy via power-law solution A Jawad, A Pasqua, S Chattopadhyay Astrophysics and Space Science 344 (2), 489-494, 2013 | 56 | 2013 |

Pilgrim dark energy in *f*(*T*,*T* _{ G }) cosmologyS Chattopadhyay, A Jawad, D Momeni, R Myrzakulov Astrophysics and Space Science 353 (1), 279-292, 2014 | 54 | 2014 |

On the bias correction of general circulation model output for Indian summer monsoon N Acharya, S Chattopadhyay, UC Mohanty, SK Dash, LN Sahoo Meteorological Applications 20 (3), 349-356, 2013 | 52 | 2013 |

Reconstruction of *f*(*T*) gravity from the Holographic Dark EnergyS Chattopadhyay, A Pasqua Astrophysics and Space Science 344 (1), 269-274, 2013 | 51 | 2013 |

Identification of trends in rainfall, rainy days and 24 h maximum rainfall over subtropical Assam in Northeast India D Jhajharia, BK Yadav, S Maske, S Chattopadhyay, AK Kar Comptes Rendus Geoscience 344 (1), 1-13, 2012 | 50 | 2012 |

Univariate modelling of monthly maximum temperature time series over northeast India: neural network *versus* Yule–Walker equation based approachS Chattopadhyay, D Jhajharia, G Chattopadhyay Meteorological Applications 18 (1), 70-82, 2011 | 50 | 2011 |

Comparative study among different neural net learning algorithms applied to rainfall time series S Chattopadhyay, G Chattopadhyay Meteorological Applications: A journal of forecasting, practical …, 2008 | 48 | 2008 |

Identification of the best hidden layer size for three-layered neural net in predicting monsoon rainfall in India S Chattopadhyay, G Chattopadhyay Journal of Hydroinformatics 10 (2), 181-188, 2008 | 44 | 2008 |

Artificial neural network with backpropagation learning to predict mean monthly total ozone in Arosa, Switzerland S Chattopadhyay, G Bandyopadhyay International Journal of Remote Sensing 28 (20), 4471-4482, 2007 | 43 | 2007 |

A holographic reconstruction of the *modified**f*(*R*) *Horava-Lifshitz gravity* with scale factor in power-law formA Jawad, S Chattopadhyay, A Pasqua Astrophysics and Space Science 346 (1), 273-278, 2013 | 38 | 2013 |

Autoregressive forecast of monthly total ozone concentration: A neurocomputing approach G Chattopadhyay, S Chattopadhyay Computers & Geosciences 35 (9), 1925-1932, 2009 | 38 | 2009 |

Holographic reconstruction of f (G) gravity for scale factors pertaining to emergent, logamediate and intermediate scenarios A Jawad, A Pasqua, S Chattopadhyay The European Physical Journal Plus 128 (12), 156, 2013 | 35 | 2013 |

Mann–Kendall trend analysis of tropospheric ozone and its modeling using ARIMA G Chattopadhyay, P Chakraborthy, S Chattopadhyay Theoretical and Applied Climatology 110 (3), 321-328, 2012 | 35 | 2012 |

A reconstruction of modified holographic Ricci dark energy in *f*(*R*, *T*) gravityA Pasqua, S Chattopadhyay, I Khomenko Canadian Journal of Physics 91 (8), 632-638, 2013 | 32 | 2013 |

A neurocomputing approach to predict monsoon rainfall in monthly scale using SST anomaly as a predictor N Acharya, S Chattopadhyay, MA Kulkarni, UC Mohanty Acta Geophysica 60 (1), 260-279, 2012 | 32 | 2012 |