D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Environmental Sciences D-index 34 Citations 3,108 129 World Ranking 6365 National Ranking 95

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Artificial intelligence
  • Algorithm

His primary areas of study are Climatology, Precipitation, Water resources, Data assimilation and Remote sensing. His Climatology study integrates concerns from other disciplines, such as Climate extremes, Adaptation strategies and Discharge. He specializes in Precipitation, namely Rain gauge.

His Water resources research is multidisciplinary, relying on both Indian Ocean Dipole, Seasonality, Groundwater, Water content and Hydrogeology. His studies in Data assimilation integrate themes in fields like Kalman filter, Resampling and Multinomial distribution. The Greater horn study combines topics in areas such as PERSIANN, Meteorology and Empirical orthogonal functions.

His most cited work include:

  • Revealing the physics of movement: Comparing the similarity of movement characteristics of different types of moving objects (140 citations)
  • Changes in temperature and precipitation extremes over the Greater Horn of Africa region from 1961 to 2010 (121 citations)
  • Separation of large scale water storage patterns over Iran using GRACE, altimetry and hydrological data (101 citations)

What are the main themes of his work throughout his whole career to date?

Ehsan Forootan spends much of his time researching Climatology, Precipitation, Geodesy, Meteorology and Remote sensing. His study focuses on the intersection of Climatology and fields such as Water resources with connections in the field of Data assimilation and Hydrology. His Precipitation research incorporates themes from Drainage basin, Hydrology and Greater horn.

His work deals with themes such as Remote sensing and Seasonality, which intersect with Greater horn. His Geodesy research includes themes of Satellite and Orbit determination. Ehsan Forootan interconnects Gravitational field and Spherical harmonics in the investigation of issues within Meteorology.

He most often published in these fields:

  • Climatology (50.00%)
  • Precipitation (37.14%)
  • Geodesy (24.29%)

What were the highlights of his more recent work (between 2018-2021)?

  • Geodesy (24.29%)
  • Remote sensing (15.00%)
  • Meteorology (22.14%)

In recent papers he was focusing on the following fields of study:

Geodesy, Remote sensing, Meteorology, Geodetic datum and Orbit determination are his primary areas of study. His Remote sensing research is multidisciplinary, incorporating perspectives in Calibration, Image resolution, Data assimilation and Bayesian probability. Ehsan Forootan has researched Data assimilation in several fields, including Radiometer, Trajectory and Hydrological modelling.

As a part of the same scientific family, Ehsan Forootan mostly works in the field of Meteorology, focusing on Artificial neural network and, on occasion, Standard deviation, Algorithm and Stability. His work carried out in the field of Orbit determination brings together such families of science as Earth, Astrobiology and Thermosphere. His Water balance research integrates issues from Groundwater, Climatology, Water content and Water cycle.

Between 2018 and 2021, his most popular works were:

  • Understanding the global hydrological droughts of 2003?2016 and their relationships with teleconnections (41 citations)
  • Understanding the global hydrological droughts of 2003?2016 and their relationships with teleconnections (41 citations)
  • Assessing data assimilation frameworks for using multi-mission satellite products in a hydrological context (17 citations)

In his most recent research, the most cited papers focused on:

  • Statistics
  • Artificial intelligence
  • Algorithm

Ehsan Forootan mainly investigates Drainage basin, Scale, Data-driven, Meteorology and Climatology. His research in Drainage basin intersects with topics in Water cycle, Atmospheric sciences, Groundwater, Bayesian inference and Water content. His Scale study combines topics in areas such as Artificial neural network, Grid, Linear regression and Autoregressive model.

The various areas that Ehsan Forootan examines in his Data-driven study include Radiometer, Robustness, Hydrological modelling, Data assimilation and Trajectory. His study in Meteorology is interdisciplinary in nature, drawing from both Geopotential, Water mass, Gravitational field and Range. His studies deal with areas such as Evapotranspiration and Precipitation as well as Climatology.

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.

Best Publications

Revealing the physics of movement: Comparing the similarity of movement characteristics of different types of moving objects

Somayeh Dodge;Robert Weibel;Ehsan Forootan.
Computers, Environment and Urban Systems (2009)

237 Citations

Changes in temperature and precipitation extremes over the Greater Horn of Africa region from 1961 to 2010

Philip Aming'o Omondi;Joseph L. Awange;Ehsan Forootan;Laban Ayieko Ogallo.
International Journal of Climatology (2014)

236 Citations

Separation of large scale water storage patterns over Iran using GRACE, altimetry and hydrological data

E. Forootan;R. Rietbroek;J. Kusche;M. Sharifi.
Remote Sensing of Environment (2014)

158 Citations

Uncertainties in remotely sensed precipitation data over Africa

J.L. Awange;V.G. Ferreira;E. Forootan;E. Forootan;Khandu.
International Journal of Climatology (2016)

135 Citations

Separation of global time-variable gravity signals into maximally independent components

Ehsan Forootan;J. Kusche.
Journal of Geodesy (2012)

105 Citations

Water storage changes and climate variability within the Nile Basin between 2002 and 2011

Joseph Awange;Joseph Awange;E. Forootan;Michael Kuhn;J. Kusche.
Advances in Water Resources (2014)

102 Citations

Understanding the global hydrological droughts of 2003?2016 and their relationships with teleconnections

Ehsan Forootan;Ehsan Forootan;M. Khaki;M. Schumacher;V. Wulfmeyer.
Science of The Total Environment (2019)

96 Citations

Improving drought simulations within the Murray-Darling Basin by combined calibration/assimilation of GRACE data into the WaterGAP Global Hydrology Model

M. Schumacher;M. Schumacher;M. Schumacher;Ehsan Forootan;A.I.J.M. van Dijk;H. Müller Schmied.
Remote Sensing of Environment (2018)

88 Citations

Potential impacts of climate and environmental change on the stored water of Lake Victoria Basin and economic implications

Joseph Awange;R. Anyah;N. Agola;E. Forootan.
Water Resources Research (2013)

82 Citations

Characterization of Ethiopian mega hydrogeological regimes using GRACE, TRMM and GLDAS datasets

J. Awange;M. Gebremichael;Ehsan Forootan;G. Wakbulcho;G. Wakbulcho.
Advances in Water Resources (2014)

81 Citations

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