D-Index & Metrics Best Publications

D-Index & Metrics

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
Engineering and Technology D-index 37 Citations 5,861 251 World Ranking 3079 National Ranking 103

Overview

What is he best known for?

The fields of study he is best known for:

  • Thermodynamics
  • Artificial intelligence
  • Mathematical optimization

Process engineering, Global optimization, Mathematical optimization, Fossil fuel and Mechanical engineering are his primary areas of study. His study in Process engineering is interdisciplinary in nature, drawing from both Organic Rankine cycle, Desalination, Hybrid system, Solar energy and Geothermal energy. The Global optimization study combines topics in areas such as Basis, Relaxation, Semi-infinite, Differential equation and Upper and lower bounds.

The study incorporates disciplines such as Discretization and Heliostat in addition to Mathematical optimization. His work carried out in the field of Fossil fuel brings together such families of science as Electricity generation, Combustion, Methane and Renewable energy. The concepts of his Mechanical engineering study are interwoven with issues in Nuclear engineering, Multi variable and Coal combustion products.

His most cited work include:

  • Heliostat field optimization: A new computationally efficient model and biomimetic layout (192 citations)
  • McCormick-Based Relaxations of Algorithms (136 citations)
  • A review of recent developments in carbon capture utilizing oxy‐fuel combustion in conventional and ion transport membrane systems (125 citations)

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

Alexander Mitsos mainly focuses on Process engineering, Mathematical optimization, Optimization problem, Global optimization and Waste management. His Process engineering research is multidisciplinary, incorporating elements of Desalination, Process design, Process and Optimal design. His biological study focuses on Low-temperature thermal desalination.

His Solver study in the realm of Mathematical optimization interacts with subjects such as Function. Function is intertwined with Regular polygon and Relaxation in his study. His Artificial neural network research integrates issues from Organic Rankine cycle and Model predictive control.

He most often published in these fields:

  • Process engineering (23.15%)
  • Mathematical optimization (20.60%)
  • Optimization problem (11.81%)

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

  • Artificial neural network (10.19%)
  • Process engineering (23.15%)
  • Mathematical optimization (20.60%)

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

Alexander Mitsos focuses on Artificial neural network, Process engineering, Mathematical optimization, Model predictive control and Solver. Alexander Mitsos has researched Artificial neural network in several fields, including Algorithm, Organic Rankine cycle, Process optimization and Sensitivity. Alexander Mitsos combines subjects such as Work, Process design, Process, Chlorine production and Renewable energy with his study of Process engineering.

His Nonlinear system research extends to Mathematical optimization, which is thematically connected. His research in Model predictive control focuses on subjects like Control theory, which are connected to Distillation. The various areas that Alexander Mitsos examines in his Solver study include Process modeling, Global optimization, Degree Rankine, Optimal design and Optimization problem.

Between 2019 and 2021, his most popular works were:

  • The integration of scheduling and control: Top-down vs. bottom-up (13 citations)
  • The integration of scheduling and control: Top-down vs. bottom-up (13 citations)
  • A wave propagation approach for reduced dynamic modeling of distillation columns: Optimization and control (12 citations)

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

  • Artificial intelligence
  • Thermodynamics
  • Mathematical analysis

His primary areas of study are Process engineering, Production, Artificial neural network, Process and Mathematical optimization. In his works, Alexander Mitsos conducts interdisciplinary research on Process engineering and Flexibility. His biological study spans a wide range of topics, including Integrated design, Energy storage, Renewable fuels, Renewable energy and Environmental economics.

His studies examine the connections between Renewable fuels and genetics, as well as such issues in Process design, with regards to Multi-objective optimization, Degree Rankine, Organic Rankine cycle and Electricity generation. His Solver and Optimization problem investigations are all subjects of Mathematical optimization research. His Optimization problem research includes themes of Setpoint, Global optimization and Applied mathematics.

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

Heliostat field optimization: A new computationally efficient model and biomimetic layout

Corey J. Noone;Manuel Torrilhon;Alexander Mitsos.
Solar Energy (2012)

282 Citations

McCormick-Based Relaxations of Algorithms

Alexander Mitsos;Benoit Chachuat;Paul I. Barton.
Siam Journal on Optimization (2009)

186 Citations

A review of recent developments in carbon capture utilizing oxy‐fuel combustion in conventional and ion transport membrane systems

M. A. Habib;H. M. Badr;S. F. Ahmed;R. Ben-Mansour.
International Journal of Energy Research (2011)

137 Citations

Concentrated solar power on demand

Alexander H. Slocum;Daniel S. Codd;Jacopo Buongiorno;Charles Forsberg.
Solar Energy (2011)

136 Citations

Identifying drug effects via pathway alterations using an integer linear programming optimization formulation on phosphoproteomic data.

Alexander Mitsos;Ioannis N. Melas;Paraskeuas Siminelakis;Aikaterini D. Chairakaki.
PLOS Computational Biology (2009)

133 Citations

Global solution of bilevel programs with a nonconvex inner program

Alexander Mitsos;Panayiotis Lemonidis;Paul I. Barton.
Journal of Global Optimization (2008)

124 Citations

Cleaner production of cleaner fuels: wind-to-wheel – environmental assessment of CO2-based oxymethylene ether as a drop-in fuel

Sarah Deutz;Dominik Bongartz;Benedikt Heuser;Arne Kätelhön.
Energy and Environmental Science (2018)

117 Citations

A Review of Hybrid Solar–Fossil Fuel Power Generation Systems and Performance Metrics

Elysia J. Sheu;Alexander Mitsos;Ahmad A. Eter;Esmail M. A. Mokheimer.
Journal of Solar Energy Engineering-transactions of The Asme (2012)

113 Citations

Optimal design and operation of a natural gas tri-reforming reactor for DME synthesis

Wonjun Cho;Taekyong Song;Alexander Mitsos;J. Thomas McKinnon.
Catalysis Today (2009)

108 Citations

Modeling and optimization of a binary geothermal power plant

Hadi Ghasemi;Marco Paci;Alessio Tizzanini;Alexander Mitsos.
Energy (2013)

106 Citations

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