What is he best known for?
The fields of study he is best known for:
- Paleontology
- Ecology
- Archaeology
Manuel Domínguez-Rodrigo spends much of his time researching Taphonomy, Archaeology, Paleontology, Carnivore and Olduvai Gorge.
His research in Taphonomy intersects with topics in Cave, Animal bone, Early Pleistocene, Zooarchaeology and Assemblage.
The Archaeology study combines topics in areas such as Ungulate and Fauna.
Manuel Domínguez-Rodrigo has included themes like Hammerstone, Human evolution, Hominidae and Limb bones in his Paleontology study.
His study explores the link between Carnivore and topics such as Evolutionary biology that cross with problems in Deep time and Biomineralization.
His biological study spans a wide range of topics, including Knapping and Alluvial plain.
His most cited work include:
- A new protocol to differentiate trampling marks from butchery cut marks (306 citations)
- 2.6-Million-year-old stone tools and associated bones from OGS-6 and OGS-7, Gona, Afar, Ethiopia. (305 citations)
- The use of tooth pits to identify carnivore taxa in tooth-marked archaeofaunas and their relevance to reconstruct hominid carcass processing behaviours (222 citations)
What are the main themes of his work throughout his whole career to date?
Manuel Domínguez-Rodrigo mostly deals with Archaeology, Olduvai Gorge, Taphonomy, Paleontology and Assemblage.
His study connects Fauna and Archaeology.
His Olduvai Gorge study combines topics from a wide range of disciplines, such as Phytolith, Early Pleistocene, Acheulean, Human evolution and Paleoecology.
Taphonomy is a subfield of Ecology that Manuel Domínguez-Rodrigo studies.
His study in Paleontology is interdisciplinary in nature, drawing from both Hammerstone and Animal bone.
His Assemblage research integrates issues from Faunal assemblage, Lithic technology and Wildebeest.
He most often published in these fields:
- Archaeology (44.17%)
- Olduvai Gorge (42.72%)
- Taphonomy (41.26%)
What were the highlights of his more recent work (between 2018-2021)?
- Olduvai Gorge (42.72%)
- Artificial intelligence (12.62%)
- Taphonomy (41.26%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Olduvai Gorge, Artificial intelligence, Taphonomy, Bone surface and Assemblage.
Archaeology covers Manuel Domínguez-Rodrigo research in Olduvai Gorge.
His research in the fields of Excavation, Megafauna and Pleistocene overlaps with other disciplines such as Large size.
His work carried out in the field of Taphonomy brings together such families of science as Lithic technology, Morphometrics, Hyaena, Lead and Morphometric analysis.
Manuel Domínguez-Rodrigo interconnects Paleontology and Morphology in the investigation of issues within Morphometric analysis.
His Assemblage research includes themes of Zoology, Carnivore, Context and Wildebeest.
Between 2018 and 2021, his most popular works were:
- Successful classification of experimental bone surface modifications (BSM) through machine learning algorithms: a solution to the controversial use of BSM in paleoanthropology? (23 citations)
- Successful classification of experimental bone surface modifications (BSM) through machine learning algorithms: a solution to the controversial use of BSM in paleoanthropology? (23 citations)
- Automated identification and deep classification of cut marks on bones and its paleoanthropological implications (13 citations)
In his most recent research, the most cited papers focused on:
- Paleontology
- Ecology
- Archaeology
Manuel Domínguez-Rodrigo mainly focuses on Bone surface, Machine learning, Artificial intelligence, Algorithm and Multivariate statistics.
His Machine learning research focuses on Equifinality and how it connects with Identification, Assemblage, Evolutionary biology, Interspecific competition and Taxon.
His Artificial intelligence study frequently intersects with other fields, such as Carnivore.
His Carnivore study combines topics from a wide range of disciplines, such as Taphonomy and Morphometric analysis.
His Algorithm research incorporates elements of Statistical hypothesis testing, Agency and Fracture.
His work deals with themes such as Interpretation and Raw data, which intersect with Multivariate statistics.
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