What is he best known for?
The fields of study he is best known for:
- Ecology
- Ecosystem
- Wetland
Matthew R. Hipsey mostly deals with Ecology, Hydrology, Water quality, Socio-hydrology and Nutrient.
His work on Lake ecosystem as part of general Ecology study is frequently linked to Set, bridging the gap between disciplines.
Hydrology connects with themes related to Human systems engineering in his study.
His work carried out in the field of Water quality brings together such families of science as Sediment, Turbidity, Mussel and Mesoscale meteorology.
Socio-hydrology is a subfield of Water resources that he tackles.
His Nutrient research incorporates elements of Trophic level, Range, Ecosystem and Abundance.
His most cited work include:
- “Panta Rhei—Everything Flows”: Change in hydrology and society—The IAHS Scientific Decade 2013–2022 (414 citations)
- Challenges and opportunities for integrating lake ecosystem modelling approaches (174 citations)
- Fate and transport of pathogens in lakes and reservoirs. (168 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Hydrology, Water quality, Ecology, Nutrient and Aquatic ecosystem.
He frequently studies issues relating to Estuary and Hydrology.
His biological study spans a wide range of topics, including Environmental engineering, Surface water, Water level, Groundwater and Water resources.
While the research belongs to areas of Ecology, he spends his time largely on the problem of Hydrology, intersecting his research to questions surrounding Salinity.
His work on Phytoplankton as part of his general Nutrient study is frequently connected to Saturation, thereby bridging the divide between different branches of science.
The Aquatic ecosystem study which covers Environmental resource management that intersects with Adaptation.
He most often published in these fields:
- Hydrology (42.60%)
- Water quality (22.49%)
- Ecology (18.93%)
What were the highlights of his more recent work (between 2019-2021)?
- Hydrology (42.60%)
- Estuary (11.24%)
- Aquatic ecosystem (14.20%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Hydrology, Estuary, Aquatic ecosystem, Surface water and Water quality.
The various areas that Matthew R. Hipsey examines in his Hydrology study include Seagrass and Dissolved organic carbon.
His research in Estuary intersects with topics in Salinity, Wet season, Ecosystem, Greenhouse gas and Eutrophication.
The Ecosystem study combines topics in areas such as Macrophyte, Climate change and Precipitation.
His research integrates issues of Storm, Primary production, Ecosystem respiration and Constructed wetland in his study of Aquatic ecosystem.
His Surface water research includes themes of Deposition, Streamflow, Surface runoff, Consolidation and Free surface.
Between 2019 and 2021, his most popular works were:
- A system of metrics for the assessment and improvement of aquatic ecosystem models (15 citations)
- Land-use intensity alters both the source and fate of CO2 within eight sub-tropical estuaries (4 citations)
- Drying microclimates threaten persistence of natural and translocated populations of threatened frogs (3 citations)
In his most recent research, the most cited papers focused on:
- Ecology
- Ecosystem
- Wetland
Matthew R. Hipsey mainly investigates Ecosystem, Environmental resource management, Hydrology, Aquatic ecosystem and Dissolved organic carbon.
Matthew R. Hipsey combines subjects such as Estuary and Hydrology with his study of Ecosystem.
His studies deal with areas such as Wet season, Climate change, Precipitation, Disturbance and Nutrient as well as Estuary.
His Hydrology research integrates issues from Macrophyte, Salinity, Seagrass, Blue carbon and Biomass.
In most of his Aquatic ecosystem studies, his work intersects topics such as Ecological modelling.
His Dissolved organic carbon research is multidisciplinary, incorporating perspectives in Atmospheric sciences, δ13C, Turbidity and Eutrophication.
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.
