What is he best known for?
The fields of study he is best known for:
- Quantum mechanics
- Statistics
- Artificial intelligence
Osvaldo A. Rosso mostly deals with Time series, Econometrics, Statistical physics, Inefficiency and Stock market.
His work carried out in the field of Time series brings together such families of science as Climatology, El Niño Southern Oscillation, Climate change and Meteorology.
His work deals with themes such as Stochastic process, Chaotic and Probability distribution, which intersect with Statistical physics.
Osvaldo A. Rosso has included themes like Entropy, Series and Nonlinear system in his Chaotic study.
Osvaldo A. Rosso combines subjects such as Dynamical systems theory, Quantum mechanics, Information theory and Logistic map with his study of Statistical complexity.
Osvaldo A. Rosso interconnects Scalp eeg and Brownian motion in the investigation of issues within Information theory.
His most cited work include:
- Wavelet entropy: a new tool for analysis of short duration brain electrical signals. (610 citations)
- Distinguishing noise from chaos. (392 citations)
- Distinguishing noise from chaos. (392 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Information theory, Entropy, Statistical physics, Series and Chaotic.
The concepts of his Information theory study are interwoven with issues in Algorithm, Causality, Fisher information and Econometrics.
His Entropy research also works with subjects such as
- Pattern recognition which intersects with area such as Entropy,
- Applied mathematics and related Statistics.
His Statistical physics study integrates concerns from other disciplines, such as Stochastic process, Fractal, Probability distribution and Brownian motion.
His Series study combines topics from a wide range of disciplines, such as Spectral density and Time series.
His biological study spans a wide range of topics, including Probability density function, Pseudorandom number generator, Semiconductor laser theory and Quantum mechanics, Nonlinear system.
He most often published in these fields:
- Information theory (65.57%)
- Entropy (34.43%)
- Statistical physics (35.93%)
What were the highlights of his more recent work (between 2016-2021)?
- Information theory (65.57%)
- Entropy (34.43%)
- Artificial intelligence (19.16%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Information theory, Entropy, Artificial intelligence, Algorithm and Stochastic process.
Osvaldo A. Rosso has researched Information theory in several fields, including Causality, Characterization, Econometrics, Structure and Fisher information.
His studies in Entropy integrate themes in fields like Probability density function, Predictability, Embedding, Species richness and Machine learning.
His Algorithm research is multidisciplinary, relying on both Amplitude and Series.
His study in Series is interdisciplinary in nature, drawing from both Probability distribution, Randomness and Time series.
His Stochastic process research includes elements of Fractional Brownian motion, Stochastic modelling, Hurst exponent, Statistical physics and Noise.
Between 2016 and 2021, his most popular works were:
- Permutation entropy based time series analysis: Equalities in the input signal can lead to false conclusions (56 citations)
- Permutation entropy based time series analysis: Equalities in the input signal can lead to false conclusions (56 citations)
- Permutation entropy based time series analysis: Equalities in the input signal can lead to false conclusions (56 citations)
In his most recent research, the most cited papers focused on:
- Quantum mechanics
- Statistics
- Artificial intelligence
His primary scientific interests are in Series, Pattern recognition, Artificial intelligence, Electroencephalography and Time series.
His research integrates issues of Probability distribution, Representation, Complex system, Algorithm and Degree distribution in his study of Series.
His biological study deals with issues like Chaotic, which deal with fields such as Measure, Selection, Reliability and Randomness.
The Time series study combines topics in areas such as Context, Sequence, Discriminative model and Generalization.
In his research on the topic of Cognition, Information theory is strongly related with Information flow.
Osvaldo A. Rosso has included themes like Node, Entropy and Econometrics in his Information theory study.
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