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 38 Citations 5,499 292 World Ranking 4680 National Ranking 7

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Oceanography
  • Ecology

His scientific interests lie mostly in Climatology, Data assimilation, Oceanography, Meteorology and Algorithm. His work in the fields of Climatology, such as Forcing, intersects with other areas such as Shutdown of thermohaline circulation. Ibrahim Hoteit has researched Data assimilation in several fields, including Conservation of mass, Work, Weather prediction and Sea-surface height.

His biological study spans a wide range of topics, including Ecosystem and Seasonality. As a member of one scientific family, Ibrahim Hoteit mostly works in the field of Meteorology, focusing on Temperature salinity diagrams and, on occasion, Barotropic fluid, Inflow, Bathythermograph, Boundary value problem and Argo. His Algorithm study combines topics in areas such as Filter, Covariance, Mathematical optimization, Ensemble Kalman filter and Kalman filter.

His most cited work include:

  • Remote sensing the phytoplankton seasonal succession of the Red Sea. (177 citations)
  • A simplified reduced order Kalman filtering and application to altimetric data assimilation in Tropical Pacific (121 citations)
  • Abrupt warming of the Red Sea (100 citations)

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

Ibrahim Hoteit focuses on Data assimilation, Kalman filter, Ensemble Kalman filter, Algorithm and Climatology. Data assimilation is a subfield of Meteorology that he explores. His Kalman filter research is multidisciplinary, relying on both Empirical orthogonal functions, Filter, Filter and Nonlinear system.

His research investigates the connection with Ensemble Kalman filter and areas like Applied mathematics which intersect with concerns in Polynomial chaos. The Algorithm study combines topics in areas such as Subspace topology, Posterior probability, Bayesian probability, Bayesian inference and Particle filter. His work investigates the relationship between Climatology and topics such as Oceanography that intersect with problems in Marine ecosystem.

He most often published in these fields:

  • Data assimilation (29.23%)
  • Kalman filter (20.92%)
  • Ensemble Kalman filter (19.20%)

What were the highlights of his more recent work (between 2019-2021)?

  • Climatology (16.33%)
  • Data assimilation (29.23%)
  • Algorithm (18.91%)

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

Ibrahim Hoteit mainly investigates Climatology, Data assimilation, Algorithm, Work and Mathematical optimization. When carried out as part of a general Climatology research project, his work on Sea surface temperature and Monsoon is frequently linked to work in Science and engineering, therefore connecting diverse disciplines of study. The concepts of his Data assimilation study are interwoven with issues in Kalman filter, Covariance matrix, Representation and Ensemble Kalman filter.

His Ensemble Kalman filter research is multidisciplinary, relying on both Smoothing, Particle filter and Resampling. His Algorithm research is multidisciplinary, incorporating perspectives in Subspace topology, Prior probability, Bayesian probability, Artificial intelligence and History matching. His study in the field of Hindcast is also linked to topics like Data series.

Between 2019 and 2021, his most popular works were:

  • Variability of monsoon low-level jet and associated rainfall over India (9 citations)
  • Impact of Atmospheric and Model Physics Perturbations on a High‐Resolution Ensemble Data Assimilation System of the Red Sea (6 citations)
  • Increasing heavy rainfall events in south India due to changing land use and land cover (6 citations)

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

  • Statistics
  • Oceanography
  • Ecology

His primary areas of study are Climatology, Work, Weather Research and Forecasting Model, Environmental resource management and Peninsula. His work on Atlantic multidecadal oscillation as part of general Climatology study is frequently connected to Term, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them. He has included themes like Land cover, Land use, Groundwater, Vegetation and Physical geography in his Weather Research and Forecasting Model study.

His Peninsula study combines topics from a wide range of disciplines, such as Cumulus parameterization, Convection, Winter rainfall, Convective parameterization and Oceanography. Ibrahim Hoteit performs multidisciplinary study in the fields of Oceanography and Coastal hazards via his papers. His Precipitation study is focused on Meteorology in general.

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

Remote sensing the phytoplankton seasonal succession of the Red Sea.

Dionysios E. Raitsos;Yaswant Pradhan;Robert J. W. Brewin;Georgiy L. Stenchikov.
PLOS ONE (2013)

266 Citations

A simplified reduced order Kalman filtering and application to altimetric data assimilation in Tropical Pacific

Ibrahim Hoteit;Dinh-Tuan Pham;Jacques Blum.
Journal of Marine Systems (2002)

180 Citations

Decadal trends in Red Sea maximum surface temperature.

Veronica Chaidez;Denis Dreano;Susana Agusti;Carlos M. Duarte.
Scientific Reports (2017)

148 Citations

Abrupt warming of the Red Sea

D. E. Raitsos;Ibrahim Hoteit;Perdana Prihartato;T. Chronis.
Geophysical Research Letters (2011)

135 Citations

A New Approximate Solution of the Optimal Nonlinear Filter for Data Assimilation in Meteorology and Oceanography

Ibrahim Hoteit;Dinh-Tuan Pham;George Triantafyllou;Gerasimos Korres.
Monthly Weather Review (2008)

134 Citations

Regional Ocean Data Assimilation

Christopher A. Edwards;Andrew M. Moore;Ibrahim Hoteit;Bruce D. Cornuelle.
Annual Review of Marine Science (2015)

128 Citations

Seasonal overturning circulation in the Red Sea: 1. Model validation and summer circulation

Fengchao Yao;Ibrahim Hoteit;Larry J. Pratt;Amy S. Bower.
Journal of Geophysical Research (2014)

120 Citations

Seasonal overturning circulation in the Red Sea: 2. Winter circulation

Fengchao Yao;Ibrahim Hoteit;Lawrence J. Pratt;Amy S. Bower.
Journal of Geophysical Research (2014)

112 Citations

Eddies in the Red Sea: A statistical and dynamical study

Peng Zhan;Aneesh C. Subramanian;Fengchao Yao;Ibrahim Hoteit.
Journal of Geophysical Research (2014)

111 Citations

Particle Kalman Filtering: A Nonlinear Bayesian Framework for Ensemble Kalman Filters*

Ibrahim Hoteit;Xiaodong Luo;Dinh-Tuan Pham.
Monthly Weather Review (2012)

105 Citations

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