A. Khrennikov
Mathematical Physics · 2001–2018
A researcher in the Science corpus: 17 papers; trusts 16 researchers and is trusted by 14 researchers here, as inferred from the citation graph.
Subfields
- Mathematical Physics — 47 citations into it; #3,226 of 8,562 by trust here, #3,181 by citations
- Computational Theory and Mathematics — 25 citations into it; #7,956 of 12,182 by trust here, #7,142 by citations
- Applied Mathematics — 21 citations into it; #5,903 of 7,620 by trust here, #5,850 by citations
- Statistical and Nonlinear Physics — 9 citations into it; #6,216 of 10,127 by trust here, #9,682 by citations
- Geometry and Topology — 8 citations into it
- Artificial Intelligence — 7 citations into it
- Atomic and Molecular Physics, and Optics — 7 citations into it; #2,044 of 7,135 by trust here, #4,284 by citations
- Computer Vision and Pattern Recognition — 7 citations into it; #16,485 of 21,575 by trust here, #19,766 by citations
Whom A. Khrennikov trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Robert L. Benedetto
- John J. Benedetto
- Ingrid Daubechies
- Fionn Murtagh
- Anatoly N. Kochubei
- Sergei V. Kozyrev
- Vladimir Anashin
- Sergio Albeverio
- D. Ghoshal
- Nicolas Moeller
Who trusts A. Khrennikov overall
- Emmanuel Haven
- Jerome R. Busemeyer
- Branko Dragovich
- Vladimir Anashin
- Emmanuel M. Pothos
- Sergei V. Kozyrev
- Hamid Khodaei
- Asher Peres
- A. Fan
- Theodorus M. Nieuwenhuizen
Papers from A. Khrennikov's perspective
Ordered by how strongly the researchers A. Khrennikov trusts endorse each paper. Same corpus, a different order for every researcher.
- Learning Deep Architectures for AI
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Ten Lectures on Wavelets
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Algorithms for hierarchical clustering: an overview (WIREs Data Mining Knowl. Discov.)
Their papers
- On p-adic mathematical physics (2006) — 313 citations
- On Ergodic Behavior of p-adic dynamical systems (2001) — 54 citations
- On the Number of Cycles of p-adic Dynamical Systems (2001) — 47 citations
- Ultrametric Pseudodifferential Equations and Applications (2018) — 77 citations
- p-Adic mathematical physics: the first 30 years (2017) — 143 citations
- Quantum Social Science: Quantum social science: a non-mathematical motivation (2013) — 291 citations
- Characterization of ergodicity of p-adic dynamical systems by using the van der Put basis (2011) — 48 citations
- Non-Archimedean Analysis: Quantum Paradoxes, Dynamical Systems and Biological Models (2011) — 428 citations
- Ubiquitous Quantum Structure: From Psychology to Finance (2010) — 480 citations
- Ubiquitous Quantum Structure (2010) — 447 citations
- Quantum mechanics and violations of the sure-thing principle: The use of probability interference and other concepts (2009) — 177 citations
- Contextual Approach to Quantum Formalism (2009) — 306 citations
- Harmonic, wavelet and p-adic analysis (2007) — 49 citations
- Wavelets on ultrametric spaces (2005) — 109 citations
- Quantum theory: Reconsideration of foundations (2003) — 153 citations
- Foundations of Probability and Physics (2002) — 143 citations
- Stochastic processes on non-Archimedean spaces with values in non-Archimedean fields. (2001) — 69 citations