What is he best known for?
The fields of study he is best known for:
- Paleontology
- Ecology
- Archaeology
His scientific interests lie mostly in Radiocarbon dating, Physical geography, Glacial period, Carbon cycle and Oceanography.
His study in Radiocarbon dating is interdisciplinary in nature, drawing from both Younger Dryas and Ice core.
His Younger Dryas research is multidisciplinary, incorporating perspectives in Epigravettian and Multi proxy.
His research integrates issues of Storm, Atmosphere, Sediment, Terrigenous sediment and Series in his study of Physical geography.
His Glacial period research incorporates themes from Deep sea and Chronology.
John Southon has researched Carbon cycle in several fields, including Inceptisol, Soil science, Total organic carbon, Podzol and Dissolved organic carbon.
His most cited work include:
- IntCal13 and Marine13 radiocarbon age calibration curves 0-50,000 years cal BP (11727 citations)
- Marine04 marine radiocarbon age calibration, 0-26 cal kyr BP (997 citations)
- Abrupt onset of the Little Ice Age triggered by volcanism and sustained by sea‐ice/ocean feedbacks (469 citations)
What are the main themes of his work throughout his whole career to date?
John Southon focuses on Radiocarbon dating, Oceanography, Archaeology, Paleontology and Holocene.
His Radiocarbon dating research is mostly focused on the topic Accelerator mass spectrometry.
His Oceanography study combines topics in areas such as Glacial period and Sediment.
John Southon combines subjects such as Climate change, Paleoclimatology and Climatology, Northern Hemisphere with his study of Holocene.
The concepts of his Deglaciation study are interwoven with issues in Ocean current and Last Glacial Maximum.
As part of his studies on Physical geography, he often connects relevant subjects like Ice core.
He most often published in these fields:
- Radiocarbon dating (49.49%)
- Oceanography (28.57%)
- Archaeology (16.84%)
What were the highlights of his more recent work (between 2018-2021)?
- Radiocarbon dating (49.49%)
- Archaeology (16.84%)
- Pleistocene (11.22%)
In recent papers he was focusing on the following fields of study:
John Southon spends much of his time researching Radiocarbon dating, Archaeology, Pleistocene, Oceanography and Physical geography.
To a larger extent, he studies Paleontology with the aim of understanding Radiocarbon dating.
His work on Dendrochronology as part of general Archaeology research is frequently linked to Art, Bone decalcification, Acid strength and Bone collagen, thereby connecting diverse disciplines of science.
His Pleistocene study incorporates themes from Ecology, Equus, Herbivore, Holocene and Mesowear.
His research integrates issues of Carbon cycle and Isotopes of oxygen in his study of Oceanography.
His Physical geography research is multidisciplinary, relying on both Plateau, Northern Hemisphere, Ice core and Southern Hemisphere.
Between 2018 and 2021, his most popular works were:
- THE INTCAL20 NORTHERN HEMISPHERE RADIOCARBON AGE CALIBRATION CURVE (0–55 CAL kBP) (332 citations)
- Tracking Five Millennia of Horse Management with Extensive Ancient Genome Time Series (79 citations)
- SHCal20 Southern Hemisphere Calibration, 0–55,000 Years cal BP (66 citations)
In his most recent research, the most cited papers focused on:
- Ecology
- Paleontology
- Archaeology
Radiocarbon dating, Physical geography, Northern Hemisphere, Tephra and Paleontology are his primary areas of study.
His studies deal with areas such as Structural basin, Arctic and Holocene as well as Radiocarbon dating.
The various areas that John Southon examines in his Holocene study include Glacier, Ice caps and Ice core.
John Southon brings together Physical geography and Calibration curve to produce work in his papers.
His Tephra study combines topics from a wide range of disciplines, such as Wiggle matching, Pyroclastic rock and Magma.
His work on Chronology is typically connected to Dense-rock equivalent as part of general Paleontology study, connecting several disciplines of science.
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.
