What is he best known for?
The fields of study he is best known for:
- Quantum mechanics
- Artificial intelligence
- Electron
Synergetics, Statistical physics, Complex system, Phase transition and Quantum mechanics are his primary areas of study.
The Synergetics study combines topics in areas such as Epistemology, Structure, Cognitive science and Management science.
His studies deal with areas such as Non-equilibrium thermodynamics, Brain activity and meditation, Order and Nonlinear system as well as Statistical physics.
Complex system is a subfield of Artificial intelligence that Hermann Haken tackles.
His research integrates issues of Interpretation and Pattern recognition in his study of Artificial intelligence.
His Phase transition study integrates concerns from other disciplines, such as Amplitude, Movement, Oscillation and Coupling.
His most cited work include:
- Synergetics: An Introduction (2203 citations)
- A theoretical model of phase transitions in human hand movements (1853 citations)
- Synergetics: An Introduction. Nonequilibrium Phase Transitions and Self- Organization in Physics, Chemistry and Biology (712 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Synergetics, Statistical physics, Complex system, Classical mechanics and Quantum mechanics.
His studies deal with areas such as Management science, Cognitive science, Artificial intelligence, Pattern recognition and Epistemology as well as Synergetics.
His Artificial intelligence study focuses on Artificial neural network in particular.
Hermann Haken interconnects Non-equilibrium thermodynamics, Phase transition, Distribution function and Nonlinear system in the investigation of issues within Statistical physics.
His research on Classical mechanics frequently connects to adjacent areas such as Instability.
His work in Laser and Quantum are all subfields of Quantum mechanics research.
He most often published in these fields:
- Synergetics (21.72%)
- Statistical physics (18.10%)
- Complex system (12.41%)
What were the highlights of his more recent work (between 1999-2021)?
- Synergetics (21.72%)
- Cognitive science (7.59%)
- Cognition (4.31%)
In recent papers he was focusing on the following fields of study:
His main research concerns Synergetics, Cognitive science, Cognition, Pattern recognition and Artificial intelligence.
The various areas that Hermann Haken examines in his Synergetics study include Management science, Epistemology, Scientific law, Perception and Complex system.
His work on Complex system is being expanded to include thematically relevant topics such as Self-organization.
Hermann Haken works mostly in the field of Self-organization, limiting it down to topics relating to Statistical physics and, in certain cases, Phase transition, Nonlinear system, State space, State variable and Function, as a part of the same area of interest.
Hermann Haken studied Pattern recognition and Human–computer interaction that intersect with Dynamics.
His Artificial intelligence study combines topics from a wide range of disciplines, such as Adaptation and Pattern recognition.
Between 1999 and 2021, his most popular works were:
- Information and Self-Organization: A Macroscopic Approach to Complex Systems (619 citations)
- Principles of Brain Functioning: A Synergetic Approach to Brain Activity, Behavior and Cognition (312 citations)
- Self-Organization and the City (305 citations)
In his most recent research, the most cited papers focused on:
- Quantum mechanics
- Artificial intelligence
- Electron
His primary areas of investigation include Synergetics, Artificial neural network, Self-organization, Complex system and Artificial intelligence.
His Synergetics study incorporates themes from Structural theory, Cognition, Cognitive science, Epistemology and Systems theory.
His Self-organization research is multidisciplinary, incorporating elements of Management science, Scientific law, Statistical physics, Western philosophy and Evolutionism.
His Statistical physics study combines topics in areas such as Non-equilibrium thermodynamics, Phase transition and Chemistry.
His Complex system research integrates issues from Information science, Chaos theory, Quantum, Probabilistic logic and Entropy.
His Artificial intelligence research focuses on subjects like Human–computer interaction, which are linked to Dynamics.
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