D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Mathematics D-index 45 Citations 8,089 198 World Ranking 1025 National Ranking 76

Overview

What is he best known for?

The fields of study Andreas E. Kyprianou is best known for:

  • Distortion (music)
  • Amplifier
  • Artificial neural network

Wavelet and Wavelet transform are two areas of study in which Andreas E. Kyprianou engages in interdisciplinary research. In his papers, he integrates diverse fields, such as Wavelet transform and Wavelet packet decomposition. Andreas E. Kyprianou conducted interdisciplinary study in his works that combined Wavelet packet decomposition and Wavelet. As part of his studies on Partial discharge, Andreas E. Kyprianou often connects relevant subjects like Voltage. His study on Voltage is mostly dedicated to connecting different topics, such as Partial discharge. Electrical engineering and Amplifier are frequently intertwined in his study. His study brings together the fields of Computer network and Amplifier. In his articles, Andreas E. Kyprianou combines various disciplines, including Computer network and Telecommunications. He performs multidisciplinary studies into Telecommunications and Electronic engineering in his work.

His most cited work include:

  • Feature extraction of partial discharge signals using the wavelet packet transform and classification with a probabilistic neural network (118 citations)
  • Wavelet packet denoising for online partial discharge detection in cables and its application to experimental field results (51 citations)

What are the main themes of his work throughout his whole career to date

In his research, Multiplicative function, Uniqueness and Boundary (topology) is intimately related to Mathematical analysis, which falls under the overarching field of Differential equation. His research links Mathematical analysis with Boundary (topology). His Image (mathematics) study is focused on Similarity (geometry) and Noise (video). His research is interdisciplinary, bridging the disciplines of Image (mathematics) and Noise (video). His Nanotechnology study frequently involves adjacent topics like Characterization (materials science) and Layer (electronics). His Characterization (materials science) study frequently draws parallels with other fields, such as Optics. In his articles, he combines various disciplines, including Optics and Interferometry. His research links Nanotechnology with Layer (electronics). He integrates Artificial intelligence with Algorithm in his research.

Andreas E. Kyprianou most often published in these fields:

  • Artificial intelligence (72.73%)
  • Wavelet (54.55%)
  • Wavelet transform (36.36%)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Introductory Lectures on Fluctuations of Lévy Processes with Applications

Andreas E. Kyprianou.
(2008)

1264 Citations

Fluctuations of Lévy Processes with Applications: Introductory Lectures

Andreas E. Kyprianou.
(2014)

413 Citations

The Theory of Scale Functions for Spectrally Negative Lévy Processes

Alexey Kuznetsov;Andreas E. Kyprianou;Victor Rivero.
arXiv: Probability (2012)

393 Citations

Fluctuations of Lévy Processes with Applications

Andreas E. Kyprianou.
(2014)

358 Citations

Exit problems for spectrally negative Lévy processes and applications to (Canadized) Russian options

F Avram;A E Kyprianou;Martijn Pistorius.
Annals of Applied Probability (2004)

305 Citations

Some remarks on first passage of Levy processes, the American put and pasting principles

L. Alili;A. E. Kyprianou.
Research Papers in Economics (2005)

269 Citations

Measure change in multitype branching

J. D. Biggins;A. E. Kyprianou.
Advances in Applied Probability (2004)

229 Citations

Ruin probabilities and overshoots for general Lévy insurance risk processes

Claudia Kluppelberg;Andreas E. Kyprianou;Ross A. Maller.
Annals of Applied Probability (2004)

223 Citations

Smoothness of scale functions for spectrally negative Lévy processes

Terence Chan;Andreas Kyprianou;Mladen Savov.
Probability Theory and Related Fields (2011)

174 Citations

SENETA-HEYDE NORMING IN THE BRANCHING RANDOM WALK

J D Biggins;Andreas E Kyprianou.
Annals of Probability (1997)

161 Citations

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