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
Engineering and Technology D-index 35 Citations 4,842 169 World Ranking 5360 National Ranking 71

Overview

What is he best known for?

The fields of study he is best known for:

  • Ecology
  • Mathematical optimization
  • Artificial intelligence

Abbas Afshar focuses on Mathematical optimization, Algorithm, Operations research, Genetic algorithm and Fuzzy logic. His Mathematical optimization research includes elements of Nonlinear programming and Hydropower. His studies in Algorithm integrate themes in fields like Multi-objective optimization and Benchmark.

The concepts of his Operations research study are interwoven with issues in Pareto principle, Management science and Reliability engineering. His Genetic algorithm research is multidisciplinary, incorporating elements of Evolutionary algorithm and Linear programming. His study explores the link between Search algorithm and topics such as Meta-optimization that cross with problems in Heuristic.

His most cited work include:

  • Honey-Bees Mating Optimization (HBMO) Algorithm: A New Heuristic Approach for Water Resources Optimization (282 citations)
  • HONEY-BEE MATING OPTIMIZATION (HBMO) ALGORITHM FOR OPTIMAL RESERVOIR OPERATION (237 citations)
  • Multi-reservoir Operation Rules: Multi-swarm PSO-based Optimization Approach (110 citations)

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

His primary areas of investigation include Mathematical optimization, Ant colony optimization algorithms, Operations research, Optimization problem and Algorithm. His Genetic algorithm, Metaheuristic, Multi-objective optimization, Search algorithm and Simulated annealing investigations are all subjects of Mathematical optimization research. His Ant colony optimization algorithms study combines topics from a wide range of disciplines, such as Reservoir operation and Benchmark.

The study incorporates disciplines such as Management science, Process and Fuzzy logic in addition to Operations research. His Optimization problem study focuses on Continuous optimization in particular. His research ties Discretization and Algorithm together.

He most often published in these fields:

  • Mathematical optimization (37.79%)
  • Ant colony optimization algorithms (15.21%)
  • Operations research (12.90%)

What were the highlights of his more recent work (between 2017-2021)?

  • Mathematical optimization (37.79%)
  • Water resources (7.37%)
  • Cutaneous leishmaniasis (3.69%)

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

His scientific interests lie mostly in Mathematical optimization, Water resources, Cutaneous leishmaniasis, Natural resource economics and Environmental health. His Mathematical optimization study frequently draws connections between adjacent fields such as Quality. His work in Water resources addresses issues such as Environmental economics, which are connected to fields such as Theory of planned behavior, Process and Main river.

His Cutaneous leishmaniasis study incorporates themes from Veterinary medicine, Epidemiology and Incidence. His biological study spans a wide range of topics, including Anthroponotic cutaneous leishmaniasis, Disease and Infestation. In his research on the topic of Ant colony optimization algorithms, Genetic algorithm is strongly related with Benchmark.

Between 2017 and 2021, his most popular works were:

  • Associated-risk determinants for anthroponotic cutaneous leishmaniasis treated with meglumine antimoniate: A cohort study in Iran. (16 citations)
  • Agent-Based Socio-Hydrological Modeling for Restoration of Urmia Lake: Application of Theory of Planned Behavior (12 citations)
  • Agent-Based Socio-Hydrological Modeling for Restoration of Urmia Lake: Application of Theory of Planned Behavior (12 citations)

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

  • Ecology
  • Artificial intelligence
  • Mathematical optimization

His main research concerns Mathematical optimization, Water resources, Multi pollutant, Simulated annealing and Main river. Mathematical optimization is closely attributed to Benchmark in his study. His Water resources research is multidisciplinary, incorporating perspectives in Shrinkage, Association rule learning, Decision-making and Environmental planning.

Abbas Afshar has researched Main river in several fields, including Theory of planned behavior, Environmental economics and Process.

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

Honey-Bees Mating Optimization (HBMO) Algorithm: A New Heuristic Approach for Water Resources Optimization

Omid Bozorg Haddad;Abbas Afshar;Miguel A. Mariño.
Water Resources Management (2006)

426 Citations

HONEY-BEE MATING OPTIMIZATION (HBMO) ALGORITHM FOR OPTIMAL RESERVOIR OPERATION

A. Afshar;O. Bozorg Haddad;M.A. Mariño;B.J. Adams.
Journal of The Franklin Institute-engineering and Applied Mathematics (2007)

375 Citations

Fuzzy TOPSIS Multi-Criteria Decision Analysis Applied to Karun Reservoirs System

Amin Afshar;Miguel A. Mariño;Motahareh Saadatpour;Abbas Afshar.
Water Resources Management (2011)

186 Citations

Multi-reservoir Operation Rules: Multi-swarm PSO-based Optimization Approach

Leila Ostadrahimi;Miguel A. Mariño;Abbas Afshar.
Water Resources Management (2012)

163 Citations

MULTI-OBJECTIVE OPTIMIZATION OF TIME-COST-QUALITY USING MULTI-COLONY ANT ALGORITHM

A Afshar;A Kaveh;O R Shoghli.
(2007)

133 Citations

Integrating system dynamics and fuzzy logic modelling for construction risk management

Farnad Nasirzadeh;Abbas Afshar;Mostafa Khanzadi;Susan Howick.
Construction Management and Economics (2008)

128 Citations

Multi-Colony Ant Algorithm for Continuous Multi-Reservoir Operation Optimization Problem

M. R. Jalali;A. Afshar;M. A. Mariño.
Water Resources Management (2007)

128 Citations

Fuzzy-based MOGA approach to stochastic time-cost trade-off problem

Ehsan Eshtehardian;Abbas Afshar;Reza Abbasnia.
Automation in Construction (2009)

120 Citations

Multireservoir optimisation in discrete and continuous domains

Omid Bozorg Haddad;Abbas Afshar;Miguel A. Mariño.
Proceedings of the Institution of Civil Engineers - Water Management (2011)

107 Citations

Particle Swarm Optimization for Automatic Calibration of Large Scale Water Quality Model (CE-QUAL-W2): Application to Karkheh Reservoir, Iran

Abbas Afshar;Hamideh Kazemi;Motahareh Saadatpour.
Water Resources Management (2011)

101 Citations

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