H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Neuroscience H-index 131 Citations 69,821 513 World Ranking 83 National Ranking 5

Research.com Recognitions

Awards & Achievements

2009 - Member of the National Academy of Sciences

2008 - Fellow of the American Academy of Arts and Sciences

2008 - W. Alden Spencer Award, College of Physicians and Surgeons

2005 - German National Academy of Sciences Leopoldina - Deutsche Akademie der Naturforscher Leopoldina – Nationale Akademie der Wissenschaften Neurosciences

1999 - Golden Brain Award, Minerva Foundation

Overview

What is he best known for?

The fields of study he is best known for:

  • Neuroscience
  • Artificial intelligence
  • Quantum mechanics

His primary scientific interests are in Neuroscience, Visual cortex, Functional magnetic resonance imaging, Local field potential and Stimulus. Sensory system, Visual perception, Auditory cortex, Perception and Macaque are the primary areas of interest in his Neuroscience study. His research in Visual cortex intersects with topics in Multistable perception, Monocular rivalry, Electrophysiology, Premovement neuronal activity and Photic Stimulation.

His Functional magnetic resonance imaging research is multidisciplinary, incorporating perspectives in Neurophysiology, Resting state fMRI, Functional imaging, Microstimulation and Brain mapping. His Local field potential research integrates issues from Receptive field, EEG-fMRI, Electroencephalography and Neuron. He has included themes like Artificial intelligence and Pattern recognition in his Stimulus study.

His most cited work include:

  • Neurophysiological investigation of the basis of the fMRI signal (5046 citations)
  • What we can do and what we cannot do with fMRI (2322 citations)
  • Interpreting the BOLD signal. (1209 citations)

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

Nikos K. Logothetis mainly investigates Neuroscience, Macaque, Visual cortex, Artificial intelligence and Functional magnetic resonance imaging. His work is connected to Local field potential, Stimulus, Electrophysiology, Sensory system and Visual perception, as a part of Neuroscience. Nikos K. Logothetis regularly links together related areas like Perception in his Stimulus studies.

Nikos K. Logothetis has researched Perception in several fields, including Cognitive psychology and Communication. He combines topics linked to Prefrontal cortex with his work on Macaque. His Artificial intelligence research includes elements of Machine learning, Computer vision and Pattern recognition.

He most often published in these fields:

  • Neuroscience (67.12%)
  • Macaque (20.82%)
  • Visual cortex (20.74%)

What were the highlights of his more recent work (between 2014-2021)?

  • Neuroscience (67.12%)
  • Macaque (20.82%)
  • Hippocampal formation (5.31%)

In recent papers he was focusing on the following fields of study:

Nikos K. Logothetis spends much of his time researching Neuroscience, Macaque, Hippocampal formation, Visual cortex and Locus coeruleus. His study involves Prefrontal cortex, Local field potential, Hippocampus, Functional magnetic resonance imaging and Memory consolidation, a branch of Neuroscience. His Functional magnetic resonance imaging study combines topics from a wide range of disciplines, such as Stimulus, Electrophysiology, Artificial intelligence and Pattern recognition.

His studies deal with areas such as Insular cortex, Functional networks, Anatomy, Neuroimaging and Microstimulation as well as Macaque. His Visual cortex research incorporates elements of Visual perception, Receptive field and Sensory system. His Sensory system research is multidisciplinary, relying on both Nerve net and Cortex.

Between 2014 and 2021, his most popular works were:

  • Can sliding-window correlations reveal dynamic functional connectivity in resting-state fMRI? (325 citations)
  • Validation of High-Resolution Tractography Against In Vivo Tracing in the Macaque Visual Cortex (81 citations)
  • fMRI at High Spatial Resolution: Implications for BOLD-Models (69 citations)

In his most recent research, the most cited papers focused on:

  • Neuroscience
  • Artificial intelligence
  • Quantum mechanics

Nikos K. Logothetis focuses on Neuroscience, Visual cortex, Functional magnetic resonance imaging, Sensory system and Prefrontal cortex. His is doing research in Hippocampus, Macaque, Local field potential, Stimulus and Locus coeruleus, both of which are found in Neuroscience. Nikos K. Logothetis combines subjects such as Receptive field and Electrophysiology with his study of Visual cortex.

The Functional magnetic resonance imaging study combines topics in areas such as Flexibility, Cerebral blood flow, Artificial intelligence and Pattern recognition. His Sensory system study integrates concerns from other disciplines, such as Temporal lobe, Nerve net and Cortex. His work carried out in the field of Prefrontal cortex brings together such families of science as Consciousness, Cognitive psychology, Perception and Eye movement.

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.

Top Publications

Interpreting the BOLD signal.

Nikos K. Logothetis;Brian A. Wandell.
Annual Review of Physiology (2004)

1757 Citations

Shape representation in the inferior temporal cortex of monkeys

Nikos K. Logothetis;Jon Pauls;Tomaso Poggio.
Current Biology (1995)

1121 Citations

Decorrelated neuronal firing in cortical microcircuits.

Alexander S. Ecker;Philipp Berens;Georgios A. Keliris;Matthias Bethge.
Science (2010)

619 Citations

Modelling and analysis of local field potentials for studying the function of cortical circuits

Gaute T. Einevoll;Christoph Kayser;Nikos K. Logothetis;Stefano Panzeri.
Nature Reviews Neuroscience (2013)

569 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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