Jitendra Kumar
Materials Chemistry · 2006–2019
A researcher in the Science corpus: 15 papers; trusts 14 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Materials Chemistry — 66 citations into it
- Artificial Intelligence — 24 citations into it; #23,475 of 35,345 by trust here, #11,750 by citations
- Water Science and Technology — 17 citations into it
- Computer Vision and Pattern Recognition — 16 citations into it; #14,509 of 21,575 by trust here, #8,205 by citations
- Atomic and Molecular Physics, and Optics — 14 citations into it
- Electrical and Electronic Engineering — 11 citations into it
- Numerical Analysis — 10 citations into it; #3,308 of 3,586 by trust here, #1,831 by citations
- Modeling and Simulation — 9 citations into it; #1,868 of 2,105 by trust here, #1,179 by citations
Whom Jitendra Kumar trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Leo Breiman
- Peter Buhlmann
- Abdul-Majid Wazwaz
- Ludmila I. Kuncheva
- Robert E. Schapire
- Ron Buckmire
- Sashikumaar Ganesan
- Yoav Freund
- Torsten Hothorn
- J. Perdew
Who trusts Jitendra Kumar overall
- Zhi-Hua Zhou
- Jiwei Li
- Azal Ahmad Khan
- Baljinder Ghotra
- Amal Asselman
- Shane McIntosh
- Chakkrit Kla Tantithamthavorn
- Elie Bursztein
- Alexandra L’Heureux
- Preeti Mishra
Papers from Jitendra Kumar's perspective
Ordered by how strongly the researchers Jitendra Kumar trusts endorse each paper. Same corpus, a different order for every researcher.
- Bagging Predictors
- Random Forests
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- The Nature of Statistical Learning Theory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Investigations of nonstandard, Mickens‐type, finite‐difference schemes for singular boundary value problems in cylindrical or spherical coordinates
- Simultaneous coagulation and break-up using constant-N Monte Carlo
Their papers
- Ensemble Learning (2019) — 2,525 citations
- A comparative study of the magnetic properties of bulk and nanocrystalline Co3O4 (2008) — 221 citations
- Interfacial charge transfer in oxygen deficient TiO2-graphene quantum dot hybrid and its influence on the enhanced visible light photocatalysis (2018) — 249 citations
- The optimal modified variational iteration method for the Lane-Emden equations with Neumann and Robin boundary conditions (2017) — 58 citations
- An algorithm based on the variational iteration technique for the Bratu-type and the Lane–Emden problems (2016) — 74 citations
- A volume‐consistent discrete formulation of aggregation population balance equations (2016) — 47 citations
- The Adomian decomposition method with Green’s function for solving nonlinear singular boundary value problems (2014) — 51 citations
- Numerical solution of singular boundary value problems using Green’s function and improved decomposition method (2013) — 63 citations
- Comparison of numerical methods for solving population balance equations incorporating aggregation and breakage (2009) — 68 citations
- Optical, electrical and magnetic properties of Co3O4 nanocrystallites obtained by thermal decomposition of sol–gel derived oxalates (2009) — 139 citations
- An efficient numerical technique for solving population balance equation involving aggregation, breakage, growth and nucleation (2008) — 121 citations
- On the synthesis and optical absorption studies of nano-size magnesium oxide powder (2008) — 196 citations
- Sol–gel synthesis and anomalous magnetic behaviour of NiO nanoparticles (2007) — 168 citations
- Improved accuracy and convergence of discretized population balance for aggregation: The cell average technique (2006) — 232 citations
- On the sol–gel synthesis and thermal, structural, and magnetic studies of transition metal (Ni, Co, Mn) containing ZnO powders (2006) — 139 citations