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 54 Citations 13,882 184 World Ranking 1155 National Ranking 500

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Statistics
  • Structural engineering

His primary areas of investigation include Mathematical optimization, Genetic programming, Benchmark, Algorithm and Optimization problem. His Mathematical optimization research is multidisciplinary, incorporating perspectives in Krill and Robustness. The Genetic programming study combines topics in areas such as Parametric statistics, Artificial neural network, Gene expression programming, Structural engineering and Nonlinear system.

The various areas that Amir H. Alavi examines in his Benchmark study include Constraint, Global optimization and Constrained optimization. The concepts of his Optimization problem study are interwoven with issues in Differential evolution and Metaheuristic. The Derivative-free optimization research Amir H. Alavi does as part of his general Metaheuristic study is frequently linked to other disciplines of science, such as Search-based software engineering, therefore creating a link between diverse domains of science.

His most cited work include:

  • Krill herd: A new bio-inspired optimization algorithm (1015 citations)
  • Cuckoo search algorithm: a metaheuristic approach to solve structural optimization problems (1014 citations)
  • Mixed variable structural optimization using Firefly Algorithm (515 citations)

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

Amir H. Alavi spends much of his time researching Structural engineering, Genetic programming, Mathematical optimization, Artificial intelligence and Artificial neural network. Amir H. Alavi has researched Structural engineering in several fields, including Compressive strength, Gene expression programming and Sensitivity. His Genetic programming study combines topics from a wide range of disciplines, such as Algorithm, Geotechnical engineering, Parametric statistics and Soft computing.

His Mathematical optimization research integrates issues from Krill and Benchmark. His Artificial intelligence study incorporates themes from Machine learning and Pattern recognition. His Optimization problem course of study focuses on Metaheuristic and Engineering optimization.

He most often published in these fields:

  • Structural engineering (24.42%)
  • Genetic programming (21.66%)
  • Mathematical optimization (17.97%)

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

  • Artificial intelligence (18.89%)
  • Energy harvesting (8.76%)
  • Deep learning (4.61%)

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

His main research concerns Artificial intelligence, Energy harvesting, Deep learning, Structural engineering and Structural health monitoring. His studies in Artificial intelligence integrate themes in fields like Swarm intelligence, Machine learning and Pattern recognition. His Swarm intelligence study incorporates themes from Optimization problem, Metaheuristic algorithms and Selection.

His Genetic programming research extends to Structural engineering, which is thematically connected. His studies deal with areas such as Continuous optimization and Engineering optimization as well as Metaheuristic. Continuous optimization is the subject of his research, which falls under Mathematical optimization.

Between 2018 and 2021, his most popular works were:

  • A comprehensive review of krill herd algorithm: variants, hybrids and applications (59 citations)
  • Behavior of crossover operators in NSGA-III for large-scale optimization problems (57 citations)
  • New machine learning-based prediction models for fracture energy of asphalt mixtures (27 citations)

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

  • Artificial intelligence
  • Statistics
  • Machine learning

His scientific interests lie mostly in Artificial intelligence, Swarm intelligence, Mathematical optimization, Machine learning and Metaheuristic. His Hybrid machine and Noise study, which is part of a larger body of work in Artificial intelligence, is frequently linked to Sensing data and Obstacle, bridging the gap between disciplines. The Mathematical optimization study combines topics in areas such as Sorting and Benchmark.

His Machine learning study combines topics from a wide range of disciplines, such as Robust optimization and Outbreak. His Metaheuristic study combines topics in areas such as Krill herd algorithm and Engineering optimization. His research integrates issues of Selection and Crossover in his study of Optimization problem.

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

Krill herd: A new bio-inspired optimization algorithm

Amir Hossein Gandomi;Amir Hossein Alavi.
Communications in Nonlinear Science and Numerical Simulation (2012)

1443 Citations

Cuckoo search algorithm: a metaheuristic approach to solve structural optimization problems

Amir Hossein Gandomi;Xin-She Yang;Amir Hossein Alavi.
Engineering With Computers (2013)

1209 Citations

Mixed variable structural optimization using Firefly Algorithm

Amir Hossein Gandomi;Xin-She Yang;Amir Hossein Alavi.
Computers & Structures (2011)

700 Citations

Firefly algorithm with chaos

Amir H. Gandomi;Xin-She Yang;Siamak Talatahari;Amir Hossein Alavi.
Communications in Nonlinear Science and Numerical Simulation (2013)

622 Citations

Machine learning in geosciences and remote sensing

David J. Lary;Amir H. Alavi;Amir H. Gandomi;Annette L. Walker.
Geoscience frontiers (2016)

482 Citations

Bat algorithm for constrained optimization tasks

Amir Hossein Gandomi;Xin-She Yang;Amir Hossein Alavi;Siamak Talatahari.
Neural Computing and Applications (2013)

432 Citations

An effective krill herd algorithm with migration operator in biogeography-based optimization

Gai-Ge Wang;Amir H. Gandomi;Amir H. Alavi.
Applied Mathematical Modelling (2014)

236 Citations

A robust data mining approach for formulation of geotechnical engineering systems

Amir Hossein Alavi;Amir Hossein Gandomi.
Engineering Computations (2011)

223 Citations

Multi-stage genetic programming: A new strategy to nonlinear system modeling

Amir Hossein Gandomi;Amir Hossein Alavi.
Information Sciences (2011)

219 Citations

Stud krill herd algorithm

Gai-Ge Wang;Amir H. Gandomi;Amir H. Alavi.
Neurocomputing (2014)

213 Citations

Best Scientists Citing Amir H. Alavi

Amir H. Gandomi

Amir H. Gandomi

University of Technology Sydney

Publications: 110

Xin-She Yang

Xin-She Yang

Middlesex University

Publications: 98

Gai-Ge Wang

Gai-Ge Wang

Ocean University of China

Publications: 62

Ali Asghar Heidari

Ali Asghar Heidari

National University of Singapore

Publications: 42

Akhil Garg

Akhil Garg

Huazhong University of Science and Technology

Publications: 34

Huiling Chen

Huiling Chen

Wenzhou University

Publications: 34

Siamak Talatahari

Siamak Talatahari

University of Tabriz

Publications: 33

Seyedali Mirjalili

Seyedali Mirjalili

Torrens University Australia

Publications: 31

Ali Kaveh

Ali Kaveh

Iran University of Science and Technology

Publications: 31

Suash Deb

Suash Deb

Biju Patnaik University of Technology

Publications: 28

Aboul Ella Hassanien

Aboul Ella Hassanien

Cairo University

Publications: 26

Mohamed Abd Elaziz

Mohamed Abd Elaziz

Zagazig University

Publications: 26

Milan Tuba

Milan Tuba

Singidunum University

Publications: 23

Erik Cuevas

Erik Cuevas

University of Guadalajara

Publications: 23

Liang Gao

Liang Gao

Huazhong University of Science and Technology

Publications: 21

Mohammed Azmi Al-Betar

Mohammed Azmi Al-Betar

Ajman University of Science and Technology

Publications: 20

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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