What is he best known for?
The fields of study Tetsuro Matsuzawa is best known for:
Many of his studies involve connections with topics such as Cognition and Perception and Neuroscience.
Tetsuro Matsuzawa undertakes interdisciplinary study in the fields of Cognition and Neuroscience through his research.
Linguistics is intertwined with Communication and Cognitive psychology in his study.
His study deals with a combination of Communication and Linguistics.
His study deals with a combination of Cognitive psychology and Artificial intelligence.
As part of his studies on Artificial intelligence, Tetsuro Matsuzawa frequently links adjacent subjects like Numeral system.
He incorporates Ecology and Evolutionary biology in his studies.
Tetsuro Matsuzawa performs multidisciplinary study in Evolutionary biology and Ecology in his work.
His studies link Zoology with Troglodytes.
His most cited work include:
- Use of numbers by a chimpanzee (453 citations)
- Cultural innovation and transmission of tool use in wild chimpanzees: evidence from field experiments (403 citations)
- Primate Origins of Human Cognition and Behavior (387 citations)
What are the main themes of his work throughout his whole career to date
As part of his studies on Ecology, Tetsuro Matsuzawa often connects relevant areas like Troglodytes.
Troglodytes is closely attributed to Ecology in his research.
His Animal ecology research extends to the thematically linked field of Zoology.
He regularly ties together related areas like Zoology in his Animal ecology studies.
His multidisciplinary approach integrates Neuroscience and Cognition in his work.
Tetsuro Matsuzawa conducts interdisciplinary study in the fields of Cognition and Neuroscience through his works.
He undertakes interdisciplinary study in the fields of Cognitive psychology and Artificial intelligence through his research.
In his work, Tetsuro Matsuzawa performs multidisciplinary research in Artificial intelligence and Cognitive psychology.
In his works, Tetsuro Matsuzawa performs multidisciplinary study on Developmental psychology and Social psychology.
Tetsuro Matsuzawa most often published in these fields:
- Ecology (43.26%)
- Zoology (33.02%)
- Troglodytes (31.63%)
What were the highlights of his more recent work (between 2018-2022)?
- Zoology (52.94%)
- Ecology (47.06%)
- Animal ecology (41.18%)
In recent works Tetsuro Matsuzawa was focusing on the following fields of study:
His study on Zoology is mostly dedicated to connecting different topics, such as Animal ecology and Troglodytes.
Tetsuro Matsuzawa connects relevant research areas such as Animal ecology, Troglodytes and Habitat in the domain of Ecology.
Tetsuro Matsuzawa undertakes interdisciplinary study in the fields of Habitat and Ecology through his research.
His Social psychology research overlaps with Developmental psychology and Anthropology.
Tetsuro Matsuzawa undertakes interdisciplinary study in the fields of Developmental psychology and Social psychology through his works.
In his research, he undertakes multidisciplinary study on Anthropology and Zoology.
His study ties his expertise on Demography together with the subject of Population.
Tetsuro Matsuzawa integrates Demography with Life expectancy in his study.
His study brings together the fields of Population and Life expectancy.
Between 2018 and 2022, his most popular works were:
- Chimpanzee face recognition from videos in the wild using deep learning (112 citations)
- The gesture ‘Touch’: Does meaning-making develop in chimpanzees’ use of a very flexible gesture? (25 citations)
- Longevity and mortality of captive chimpanzees in Japan from 1921 to 2018 (20 citations)
In his most recent research, the most cited works focused on:
- Life expectancy
- Linguistics
- Demography
Tetsuro Matsuzawa is involved in relevant fields of research such as Pipeline (software) and Parsing in the field of Programming language.
His Pipeline (software) study frequently links to adjacent areas such as Programming language.
In most of his Artificial intelligence studies, his work intersects topics such as Parsing.
His Zoology study frequently links to related topics such as Animal ecology.
His Pattern recognition (psychology) study frequently draws parallels with other fields, such as Facial recognition system.
His Facial recognition system study frequently intersects with other fields, such as Pattern recognition (psychology).
With his scientific publications, his incorporates both Computer vision and Convolutional neural network.
In his research, he undertakes multidisciplinary study on Convolutional neural network and Machine learning.
His work often combines Machine learning and Computer vision studies.
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