What is he best known for?
The fields of study he is best known for:
- Statistics
- Hydrology
- Probability distribution
Richard M. Vogel spends much of his time researching Hydrology, Streamflow, Statistics, Water resources and Watershed.
The various areas that Richard M. Vogel examines in his Hydrology study include Ecohydrology and Regression.
His Streamflow research incorporates elements of Flood myth, Hydrology, Physical geography and Precipitation.
Statistics and Econometrics are frequently intertwined in his study.
His Water resources research is multidisciplinary, incorporating elements of Water quality, Climate change, Aquifer and Flood forecasting.
His studies deal with areas such as Base flow, Multivariate statistics and Surface runoff as well as Watershed.
His most cited work include:
- Trends in floods and low flows in the United States: impact of spatial correlation (755 citations)
- Climate elasticity of streamflow in the United States (395 citations)
- Flow‐Duration Curves. I: New Interpretation and Confidence Intervals (337 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Streamflow, Hydrology, Statistics, Water resources and Econometrics.
His Streamflow study also includes fields such as
- Climatology which connect with Precipitation,
- Reliability which is related to area like Autoregressive model.
Richard M. Vogel combines topics linked to Multivariate statistics with his work on Hydrology.
His studies link Flood myth with Statistics.
His work on Integrated water resources management as part of general Water resources research is frequently linked to Water storage, thereby connecting diverse disciplines of science.
His Econometrics research includes themes of Event, Statistical hypothesis testing, Linear regression and Generalized Pareto distribution.
He most often published in these fields:
- Streamflow (33.89%)
- Hydrology (34.31%)
- Statistics (25.94%)
What were the highlights of his more recent work (between 2012-2021)?
- Streamflow (33.89%)
- Hydrology (34.31%)
- Statistics (25.94%)
In recent papers he was focusing on the following fields of study:
Streamflow, Hydrology, Statistics, Econometrics and Water resources are his primary areas of study.
His work carried out in the field of Streamflow brings together such families of science as Probability distribution, Multivariate statistics, Linear regression and Statistical hypothesis testing.
Much of his study explores Hydrology relationship to Land cover.
His Econometrics study combines topics in areas such as Watershed, Natural hazard, Event, Water use and Reliability.
His study on Water resources also encompasses disciplines like
- Environmental resource management which intersects with area such as Climate change,
- Water resource management, which have a strong connection to Hydropower and Tributary.
His Hydrology research incorporates themes from Water balance and Surface runoff.
Between 2012 and 2021, his most popular works were:
- Hydrology: The interdisciplinary science of water (103 citations)
- Hydrology: The interdisciplinary science of water (103 citations)
- Reliability, return periods, and risk under nonstationarity (99 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Hydrology
- Agriculture
His scientific interests lie mostly in Hydrology, Econometrics, Water resources, Hydrology and Streamflow.
His research in Hydrology intersects with topics in Sustainability, Ecohydrology and Outflow.
His Econometrics research integrates issues from Event, Exponential distribution and Flood myth, Return period.
In general Water resources, his work in GIS and hydrology, Integrated water resources management and Socio-hydrology is often linked to Hydrosphere linking many areas of study.
As a part of the same scientific study, Richard M. Vogel usually deals with the Hydrology, concentrating on Surface runoff and frequently concerns with Evapotranspiration, Water balance, Water cycle and Surface water.
In his research, Magnitude is intimately related to Statistics, which falls under the overarching field of Streamflow.
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