What is he best known for?
The fields of study he is best known for:
- Basalt
- Volcano
- Igneous rock
Chris M. Hall mainly investigates Geochemistry, Paleontology, Paleomagnetism, Illite and Metamorphic rock.
The study incorporates disciplines such as Shear zone and Earth science in addition to Geochemistry.
His Paleomagnetism research is multidisciplinary, incorporating perspectives in Radiometric dating and Gondwana.
While the research belongs to areas of Illite, Chris M. Hall spends his time largely on the problem of Diagenesis, intersecting his research to questions surrounding Clay minerals and Sedimentary rock.
His study looks at the relationship between Clay minerals and fields such as Absolute dating, as well as how they intersect with chemical problems.
His Mineralogy research includes elements of Mass spectrometry and Resolution.
His most cited work include:
- Applications of Multiple Collector-ICPMS to Cosmochemistry, Geochemistry, and Paleoceanography (209 citations)
- The dating of shallow faults in the Earth's crust (164 citations)
- Dust production and deposition in Asia and the north Pacific Ocean over the past 12 Myr (160 citations)
What are the main themes of his work throughout his whole career to date?
Geochemistry, Groundwater, Noble gas, Mineralogy and Aquifer are his primary areas of study.
The concepts of his Geochemistry study are interwoven with issues in Structural basin and Oil shale.
His work carried out in the field of Groundwater brings together such families of science as Sedimentary rock and Paleothermometer.
He studies Illite which is a part of Mineralogy.
His research integrates issues of Metamorphism and Authigenic, Diagenesis in his study of Illite.
Chris M. Hall focuses mostly in the field of Aquifer, narrowing it down to matters related to Geomorphology and, in some cases, Metamorphic rock.
He most often published in these fields:
- Geochemistry (57.34%)
- Groundwater (16.08%)
- Noble gas (16.08%)
What were the highlights of his more recent work (between 2014-2020)?
- Geochemistry (57.34%)
- Groundwater (16.08%)
- Oil shale (8.39%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Geochemistry, Groundwater, Oil shale, Noble gas and Aquifer.
His Geochemistry research incorporates elements of Geothermal gradient and Geomorphology.
Chris M. Hall studied Groundwater and Meltwater that intersect with Ice caps, Ice field, Oceanography and Water level.
The various areas that he examines in his Oil shale study include Structural basin, Eagle and Group.
His Aquifer research is multidisciplinary, incorporating elements of Infiltration and Bedrock.
As a part of the same scientific family, Chris M. Hall mostly works in the field of Hydrology, focusing on Sedimentary rock and, on occasion, Water well.
Between 2014 and 2020, his most popular works were:
- Methane Sources and Migration Mechanisms in Shallow Groundwaters in Parker and Hood Counties, Texas-A Heavy Noble Gas Analysis. (33 citations)
- Characterizing the Noble Gas Isotopic Composition of the Barnett Shale and Strawn Group and Constraining the Source of Stray Gas in the Trinity Aquifer, North-Central Texas (28 citations)
- Fluid circulation and reservoir conditions of the Los Humeros Geothermal Field (LHGF), Mexico, as revealed by a noble gas survey (22 citations)
In his most recent research, the most cited papers focused on:
- Basalt
- Volcano
- Igneous rock
His primary areas of study are Geochemistry, Groundwater, Noble gas, Aquifer and Groundwater recharge.
His research on Geochemistry often connects related topics like Geothermal gradient.
His Geothermal gradient research integrates issues from Rhyolite and Mineralogy.
Illite is closely connected to Isotope analysis in his research, which is encompassed under the umbrella topic of Rhyolite.
His research on Groundwater concerns the broader Hydrology.
His study explores the link between Hydrology and topics such as Sedimentary rock that cross with problems in Infiltration, Rainwater harvesting and Water well.
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.
