What is he best known for?
The fields of study he is best known for:
- Glacier
- Climate change
- Meteorology
Glacier, Remote sensing, Physical geography, Glacier morphology and Glacier terminus are his primary areas of study.
His Glacier research is multidisciplinary, incorporating elements of Remote sensing and Meteorology.
His Remote sensing research incorporates themes from Climate change and Global change.
His work deals with themes such as Photogrammetry, Point cloud and Topography, which intersect with Physical geography.
His Glacier morphology study integrates concerns from other disciplines, such as Glacier mass balance, Accumulation zone, Cirque glacier, Rock glacier and Glacier ice accumulation.
His Accumulation zone research focuses on Tidewater glacier cycle and how it relates to Hydrology.
His most cited work include:
- Structure from Motion Photogrammetry in Physical Geography (339 citations)
- Response of debris-covered glaciers in the Mount Everest region to recent warming, and implications for outburst flood hazards (283 citations)
- Early recognition of glacial lake hazards in the Himalaya using remote sensing datasets (192 citations)
What are the main themes of his work throughout his whole career to date?
Duncan J. Quincey mostly deals with Glacier, Physical geography, Debris, Geomorphology and Remote sensing.
His biological study deals with issues like Glacial period, which deal with fields such as Landform.
In Physical geography, Duncan J. Quincey works on issues like Digital elevation model, which are connected to Elevation.
His research investigates the link between Geomorphology and topics such as Ice stream that cross with problems in Antarctic sea ice.
In general Remote sensing, his work in Remote sensing is often linked to Structure from motion linking many areas of study.
His biological study spans a wide range of topics, including Glacier morphology, Rock glacier, Glacier ice accumulation and Tidewater glacier cycle.
He most often published in these fields:
- Glacier (62.20%)
- Physical geography (32.28%)
- Debris (25.98%)
What were the highlights of his more recent work (between 2019-2021)?
- Glacier (62.20%)
- Physical geography (32.28%)
- Debris (25.98%)
In recent papers he was focusing on the following fields of study:
Glacier, Physical geography, Debris, Climate change and High mountain are his primary areas of study.
When carried out as part of a general Glacier research project, his work on Glacier mass balance is frequently linked to work in Cliff, therefore connecting diverse disciplines of study.
Duncan J. Quincey has researched Glacier mass balance in several fields, including Geodetic datum and Transition zone.
His Physical geography study combines topics in areas such as Digital elevation model and Ice sheet.
Duncan J. Quincey interconnects Meltwater, Monsoon and Geomorphology in the investigation of issues within Debris.
As part of one scientific family, Duncan J. Quincey deals mainly with the area of Elevation, narrowing it down to issues related to the Image resolution, and often Satellite and Remote sensing.
Between 2019 and 2021, his most popular works were:
- Manifestations and mechanisms of the Karakoram glacier Anomaly (34 citations)
- Proglacial Lakes Control Glacier Geometry and Behavior During Recession (5 citations)
- Calving Seasonality Associated With Melt‐Undercutting and Lake Ice Cover (4 citations)
In his most recent research, the most cited papers focused on:
- Climate change
- Glacier
- Artificial intelligence
The scientist’s investigation covers issues in Glacier, Physical geography, Climate change, High mountain and Recession.
His study on Meltwater is often connected to Hydropower as part of broader study in Glacier.
His studies in Climate change integrate themes in fields like Outburst flood, Glacial lake and Greenland ice sheet, Ice sheet.
Among his High mountain studies, there is a synthesis of other scientific areas such as Ice stream, Anomaly, Surge, Future climate and Drainage.
His study on Recession is intertwined with other disciplines of science such as Last Glacial Maximum, Ice dynamics and Ice-sheet model.
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.
