What is he best known for?
The fields of study he is best known for:
- Sedimentary rock
- Paleontology
- Basalt
Fernando Flecha de Alkmim spends much of his time researching Geochemistry, Paleontology, Archean, Craton and Rhyacian.
His research integrates issues of Magmatism and Plutonism in his study of Geochemistry.
His study on Paleontology is mostly dedicated to connecting different topics, such as Geomorphology.
His research in Archean focuses on subjects like Crust, which are connected to Tectonics.
His Craton study combines topics in areas such as Geochronology and Zircon.
He studied Gondwana and Rift that intersect with Orogeny, Suture and Orosirian.
His most cited work include:
- Transamazonian orogeny in the Southern São Francisco craton region, Minas Gerais, Brazil : evidence for paleoproterozoic collision and collapse in the Quadrilátero Ferrı́fero. (335 citations)
- Kinematic evolution of the Araçuaí-West Congo orogen in Brazil and Africa: Nutcracker tectonics during the Neoproterozoic assembly of Gondwana (222 citations)
- Proterozoic first-order sedimentary sequences of the São Francisco craton, eastern Brazil. (146 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Geochemistry, Craton, Paleontology, Geomorphology and Zircon.
His study in Geochemistry is interdisciplinary in nature, drawing from both Rhyacian, Magmatism and Back-arc basin.
The Craton study combines topics in areas such as Basement, Banded iron formation and Gondwana.
In his study, Fold is inextricably linked to Salient, which falls within the broad field of Paleontology.
The concepts of his Geomorphology study are interwoven with issues in Tectonics, Shear zone and Mineralogy.
His work investigates the relationship between Zircon and topics such as Anatexis that intersect with problems in Crustal recycling.
He most often published in these fields:
- Geochemistry (46.88%)
- Craton (31.25%)
- Paleontology (27.08%)
What were the highlights of his more recent work (between 2017-2021)?
- Geochemistry (46.88%)
- Zircon (22.92%)
- Metamorphism (12.50%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Geochemistry, Zircon, Metamorphism, Structural basin and Gondwana.
His work carried out in the field of Geochemistry brings together such families of science as Denudation, Rhyacian, Rift and Foreland basin.
His research ties Craton and Zircon together.
His Craton research is multidisciplinary, incorporating perspectives in Sedimentary depositional environment, Sedimentary rock and Back-arc basin.
His Metamorphism study combines topics from a wide range of disciplines, such as Orosirian, Metamorphic rock and Monazite.
The various areas that he examines in his Structural basin study include Salient and Fold.
Between 2017 and 2021, his most popular works were:
- From the plutonic root to the volcanic roof of a continental magmatic arc: a review of the Neoproterozoic Araçuaí orogen, southeastern Brazil (18 citations)
- Metamorphism and exhumation of basement gneiss domes in the Quadrilátero Ferrífero: Two stage dome-and-keel evolution? (16 citations)
- Metamorphic imprints on units of the southern Araçuaí belt, SE Brazil: The history of superimposed Transamazonian and Brasiliano orogenesis (14 citations)
In his most recent research, the most cited papers focused on:
- Sedimentary rock
- Plate tectonics
- Basalt
The scientist’s investigation covers issues in Geochemistry, Gondwana, Metamorphism, Zircon and Rhyacian.
His study in the field of Archean is also linked to topics like Population.
His studies deal with areas such as Schist, Protolith, Migmatite, Gneiss and Titanite as well as Archean.
He incorporates a variety of subjects into his writings, including Population, Monazite, Supercontinent, Orosirian and Granulite.
His Rhyolite research includes elements of Craton, Igneous rock and Back-arc basin.
His Shear zone study combines topics in areas such as Greenschist, Metamorphic rock, Syncline, Rift and Plutonism.
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.
