What is he best known for?
The fields of study he is best known for:
- Ecology
- Ecosystem
- Hydrology
His main research concerns Hydrology, Environmental chemistry, Ecology, Soil water and Ecosystem.
His Hydrology study combines topics from a wide range of disciplines, such as Nitrate, Precipitation and Acid rain.
His study focuses on the intersection of Acid rain and fields such as Acid deposition with connections in the field of Environmental protection.
His Environmental chemistry research is multidisciplinary, incorporating elements of Podzol and Sediment.
The study incorporates disciplines such as Biogeochemical cycle, Nitrogen cycle and Biogeochemistry in addition to Ecosystem.
His Dissolved organic carbon research includes themes of Acid neutralizing capacity and Perch.
His most cited work include:
- Mercury as a Global Pollutant: Sources, Pathways, and Effects (962 citations)
- Long-Term Effects of Acid Rain: Response and Recovery of a Forest Ecosystem (952 citations)
- Acidic Deposition in the Northeastern United States: Sources and Inputs, Ecosystem Effects, and Management Strategies (825 citations)
What are the main themes of his work throughout his whole career to date?
Charles T. Driscoll mainly focuses on Hydrology, Environmental chemistry, Ecosystem, Ecology and Soil water.
The Hydrology study combines topics in areas such as Acid neutralizing capacity and Acid rain.
His Environmental chemistry research is multidisciplinary, incorporating perspectives in Methylmercury, Nitrate and Mineralogy.
His Ecosystem study deals with Biogeochemical cycle intersecting with Biogeochemistry.
To a larger extent, Charles T. Driscoll studies Soil science with the aim of understanding Soil water.
His Watershed research includes elements of Drainage basin and Wetland.
He most often published in these fields:
- Hydrology (36.92%)
- Environmental chemistry (31.46%)
- Ecosystem (20.53%)
What were the highlights of his more recent work (between 2017-2021)?
- Environmental chemistry (31.46%)
- Ecosystem (20.53%)
- Methylmercury (6.13%)
In recent papers he was focusing on the following fields of study:
Charles T. Driscoll mainly investigates Environmental chemistry, Ecosystem, Methylmercury, Atmospheric sciences and Watershed.
His biological study spans a wide range of topics, including Soil water, Food web and Nitrogen deposition.
His research in Ecosystem intersects with topics in Experimental forest, Nitrate, Growing season and Acid neutralizing capacity.
Charles T. Driscoll has included themes like Deposition and STREAMS in his Acid neutralizing capacity study.
Hydrology covers Charles T. Driscoll research in Watershed.
His Hydrology research incorporates themes from Biomass, Leaching and Biogeochemical cycle.
Between 2017 and 2021, his most popular works were:
- Air pollution success stories in the United States: The value of long-term observations (50 citations)
- Decreased atmospheric nitrogen deposition in eastern North America: Predicted responses of forest ecosystems. (46 citations)
- Nitrogen oligotrophication in northern hardwood forests (37 citations)
In his most recent research, the most cited papers focused on:
- Ecology
- Ecosystem
- Agriculture
Ecosystem, Aquatic ecosystem, Environmental chemistry, Atmospheric sciences and Hydrology are his primary areas of study.
His studies in Ecosystem integrate themes in fields like Experimental forest, Tree species and Growing season.
His Experimental forest research incorporates elements of Biogeochemical cycle and Biogeochemistry.
His Environmental chemistry study incorporates themes from CMAQ, Food web and Sediment.
His research on Atmospheric sciences also deals with topics like
- Soil organic matter that connect with fields like Water content, Carbon dioxide, Transpiration, Nitrogen cycle and Stomatal conductance,
- Deposition together with Nitrate, STREAMS, Acid neutralizing capacity, Climate change and Spatial variability.
His work on Watershed as part of general Hydrology study is frequently linked to Green roof, therefore connecting diverse 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.
