Manish Kumar Goyal

Global and Planetary Change · 2014–2020

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Manish Kumar Goyal trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Pranab Kumar Sen
  2. Ingrid Daubechies
  3. Khaled H. Hamed
  4. Tae‐Woong Kim
  5. S. Yue
  6. K. Adamowski
  7. Ozgur Kisi
  8. Juan B. Valdes
  9. Stéphane Mallat

Papers from Manish Kumar Goyal's perspective

Ordered by how strongly the researchers Manish Kumar Goyal trusts endorse each paper. Same corpus, a different order for every researcher.

  1. The wavelet transform, time-frequency localization and signal analysis
  2. Development of a new method of wavelet aided trend detection and estimation
  3. Wavelet and neuro-fuzzy conjunction model for precipitation forecasting
  4. A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
  5. NONLINEAR MODEL FOR DROUGHT FORECASTING BASED ON A CONJUNCTION OF WAVELET TRANSFORMS AND NEURAL NETWORKS
  6. Applications of hybrid wavelet–Artificial Intelligence models in hydrology: A review
  7. Trend detection in hydrologic data: The Mann–Kendall trend test under the scaling hypothesis
  8. Estimating the potential of rainfed agriculture in India: Prospects for water productivity improvements
  9. Estimates of the Regression Coefficient Based on Kendall's Tau
  10. Power of the Mann–Kendall and Spearman's rho tests for detecting monotonic trends in hydrological series

Their papers