What is he best known for?
The fields of study he is best known for:
- Statistics
- Neuroscience
- Electroencephalography
Klaus Lehnertz spends much of his time researching Neuroscience, Epilepsy, Electroencephalography, Temporal lobe and Ictal.
His Epilepsy research includes elements of Stochastic process and Complex network.
His study in Stochastic process is interdisciplinary in nature, drawing from both Electrophysiology and Surrogate data.
He combines subjects such as Phase synchronization, Statistics, Artificial intelligence, Nonlinear system and Pattern recognition with his study of Electroencephalography.
His Temporal lobe study combines topics in areas such as Hippocampus, Long-term memory and Semantic memory, Explicit memory.
His Ictal research integrates issues from Epileptic seizure, Seizure onset and Epilepsy surgery.
His most cited work include:
- Indications of nonlinear deterministic and finite-dimensional structures in time series of brain electrical activity: dependence on recording region and brain state. (1640 citations)
- Mean phase coherence as a measure for phase synchronization and its application to the EEG of epilepsy patients (963 citations)
- Seizure prediction: the long and winding road. (784 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Neuroscience, Electroencephalography, Epilepsy, Artificial intelligence and Statistical physics.
His study looks at the relationship between Neuroscience and topics such as Centrality, which overlap with Node, Complex network and Identification.
The Electroencephalography study combines topics in areas such as Nonlinear time series analysis, Nonlinear system, Measure and Audiology.
His work on Ictal, Epileptic seizure and Intracranial eeg as part of general Epilepsy study is frequently linked to Synchronization and In patient, bridging the gap between disciplines.
Klaus Lehnertz has researched Artificial intelligence in several fields, including Machine learning, Synchronization and Pattern recognition.
Klaus Lehnertz interconnects Parameter space, Stochastic process and Dynamical systems theory, Control theory in the investigation of issues within Statistical physics.
He most often published in these fields:
- Neuroscience (39.15%)
- Electroencephalography (31.91%)
- Epilepsy (32.34%)
What were the highlights of his more recent work (between 2017-2021)?
- Neuroscience (39.15%)
- Epilepsy (32.34%)
- Statistical physics (15.74%)
In recent papers he was focusing on the following fields of study:
Klaus Lehnertz mostly deals with Neuroscience, Epilepsy, Statistical physics, Dynamical systems theory and Centrality.
His work on Cognition as part of general Neuroscience research is frequently linked to Mechanism, Network reconfiguration and Scale, bridging the gap between disciplines.
His work carried out in the field of Epilepsy brings together such families of science as Warning system and Electroencephalography.
His Electroencephalography study focuses on Intracranial eeg in particular.
As a part of the same scientific family, Klaus Lehnertz mostly works in the field of Statistical physics, focusing on Data-driven and, on occasion, Conditional moments and Series.
His work in Centrality addresses issues such as Complex network, which are connected to fields such as Theoretical computer science and Network topology.
Between 2017 and 2021, his most popular works were:
- Seizure prediction - ready for a new era (101 citations)
- No evidence for critical slowing down prior to human epileptic seizures. (17 citations)
- Traceability and dynamical resistance of precursor of extreme events (17 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Artificial intelligence
- Neuroscience
His primary areas of study are Neuroscience, Epilepsy, Electroencephalography, Centrality and Epileptic seizure.
His work on Recurrent seizures as part of general Epilepsy study is frequently connected to Prospective trial, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
His Intracranial eeg study, which is part of a larger body of work in Electroencephalography, is frequently linked to Clinical neurology, bridging the gap between disciplines.
In Centrality, Klaus Lehnertz works on issues like Network science, which are connected to Identification.
His study focuses on the intersection of Epileptic seizure and fields such as Topology with connections in the field of Complex network.
His Intensive care medicine research is multidisciplinary, relying on both Neurological examination, Ictal, Psychopharmacology, Neurology and Drug.
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