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
Computer Science D-index 59 Citations 39,416 137 World Ranking 1640 National Ranking 44

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Mathematical optimization
  • Machine learning

Seyedali Mirjalili spends much of his time researching Mathematical optimization, Benchmark, Particle swarm optimization, Algorithm and Genetic algorithm. His works in Constrained optimization, Metaheuristic, Multi-objective optimization, Optimization problem and Gravitational search algorithm are all subjects of inquiry into Mathematical optimization. His study on Test functions for optimization is often connected to Test case and Trigonometric functions as part of broader study in Optimization problem.

His Benchmark research includes elements of Convergence and Data mining. The Particle swarm optimization study combines topics in areas such as Evolutionary algorithm, Evolution strategy and Heuristic. His research in Algorithm focuses on subjects like Population-based incremental learning, which are connected to Global optimization.

His most cited work include:

  • Grey Wolf Optimizer (3965 citations)
  • The Whale Optimization Algorithm (2442 citations)
  • Moth-flame optimization algorithm (1199 citations)

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

His scientific interests lie mostly in Mathematical optimization, Particle swarm optimization, Artificial intelligence, Algorithm and Metaheuristic. His research on Mathematical optimization often connects related areas such as Benchmark. His work deals with themes such as Genetic algorithm, Robustness and Heuristic, which intersect with Particle swarm optimization.

His Artificial intelligence research is multidisciplinary, incorporating elements of Machine learning and Pattern recognition. His Optimization problem, Search algorithm and Bat algorithm study in the realm of Algorithm interacts with subjects such as Binary number. Within one scientific family, Seyedali Mirjalili focuses on topics pertaining to Swarm intelligence under Metaheuristic, and may sometimes address concerns connected to Salp swarm algorithm.

He most often published in these fields:

  • Mathematical optimization (46.67%)
  • Particle swarm optimization (44.17%)
  • Artificial intelligence (28.33%)

What were the highlights of his more recent work (between 2018-2020)?

  • Artificial intelligence (28.33%)
  • Algorithm (31.67%)
  • Metaheuristic (23.33%)

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

Seyedali Mirjalili mostly deals with Artificial intelligence, Algorithm, Metaheuristic, Particle swarm optimization and Mathematical optimization. His studies in Artificial intelligence integrate themes in fields like Swarm intelligence, Machine learning and Optimisation algorithm. His research integrates issues of Swarm behaviour and Feature selection in his study of Algorithm.

His Metaheuristic research incorporates elements of Optimization algorithm and Genetic algorithm. As a part of the same scientific study, Seyedali Mirjalili usually deals with the Particle swarm optimization, concentrating on Curse of dimensionality and frequently concerns with Test functions for optimization, Generator, Euclidean distance and Bat algorithm. Many of his studies involve connections with topics such as Benchmark and Mathematical optimization.

Between 2018 and 2020, his most popular works were:

  • Harris hawks optimization: Algorithm and applications (565 citations)
  • Equilibrium optimizer: A novel optimization algorithm (152 citations)
  • Binary grasshopper optimisation algorithm approaches for feature selection problems (135 citations)

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

  • Artificial intelligence
  • Machine learning
  • Computer network

Seyedali Mirjalili focuses on Metaheuristic, Algorithm, Artificial intelligence, Benchmark and Genetic algorithm. His Metaheuristic study incorporates themes from Mutation operator, Particle swarm optimization and Feature selection. His Particle swarm optimization study improves the overall literature in Mathematical optimization.

His work in Artificial intelligence covers topics such as Machine learning which are related to areas like Optimization problem and Local optimum. His Benchmark research includes themes of Simulated annealing and Cuckoo search. His research in Genetic algorithm intersects with topics in Decision tree, Data stream mining, Data mining, Supervised learning and Crossover.

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

Grey Wolf Optimizer

Seyedali Mirjalili;Seyed Mohammad Mirjalili;Andrew Lewis.
Advances in Engineering Software (2014)

5688 Citations

The Whale Optimization Algorithm

Seyedali Mirjalili;Andrew Lewis.
Advances in Engineering Software (2016)

3325 Citations

Moth-flame optimization algorithm

Seyedali Mirjalili.
Knowledge Based Systems (2015)

1884 Citations

Salp Swarm Algorithm

Seyedali Mirjalili;Amir H. Gandomi;Seyedeh Zahra Mirjalili;Shahrzad Saremi.
Advances in Engineering Software (2017)

1602 Citations

The Ant Lion Optimizer

Seyedali Mirjalili.
Advances in Engineering Software (2015)

1538 Citations

SCA: A Sine Cosine Algorithm for solving optimization problems

Seyedali Mirjalili;Seyedali Mirjalili.
Knowledge Based Systems (2016)

1420 Citations

Dragonfly algorithm: a new meta-heuristic optimization technique for solving single-objective, discrete, and multi-objective problems

Seyedali Mirjalili.
Neural Computing and Applications (2016)

1181 Citations

Grasshopper Optimisation Algorithm

Shahrzad Saremi;Seyedali Mirjalili;Andrew Lewis.
Advances in Engineering Software (2017)

1117 Citations

Multi-Verse Optimizer: a nature-inspired algorithm for global optimization

Seyedali Mirjalili;Seyed Mohammad Mirjalili;Abdolreza Hatamlou.
Neural Computing and Applications (2016)

872 Citations

Harris hawks optimization: Algorithm and applications

Ali Asghar Heidari;Ali Asghar Heidari;Seyedali Mirjalili;Hossam Faris;Ibrahim Aljarah.
Future Generation Computer Systems (2019)

696 Citations

Best Scientists Citing Seyedali Mirjalili

Aboul Ella Hassanien

Aboul Ella Hassanien

Cairo University

Publications: 116

Mohamed Abd Elaziz

Mohamed Abd Elaziz

Zagazig University

Publications: 83

Ali Asghar Heidari

Ali Asghar Heidari

National University of Singapore

Publications: 70

Huiling Chen

Huiling Chen

Wenzhou University

Publications: 56

Ali Kaveh

Ali Kaveh

Iran University of Science and Technology

Publications: 52

Gai-Ge Wang

Gai-Ge Wang

Ocean University of China

Publications: 38

Oscar Castillo

Oscar Castillo

Instituto Tecnológico de Tijuana

Publications: 34

Jianzhou Wang

Jianzhou Wang

Dongbei University of Finance and Economics

Publications: 31

Rajesh Kumar

Rajesh Kumar

Malaviya National Institute of Technology Jaipur

Publications: 31

Sidhartha Panda

Sidhartha Panda

Veer Surendra Sai University of Technology

Publications: 30

Francisco Jurado

Francisco Jurado

University of Jaén

Publications: 29

Hany M. Hasanien

Hany M. Hasanien

Ain Shams University

Publications: 29

Hossam Faris

Hossam Faris

University of Jordan

Publications: 28

Almoataz Y. Abdelaziz

Almoataz Y. Abdelaziz

Ain Shams University

Publications: 26

Mohammed Azmi Al-Betar

Mohammed Azmi Al-Betar

Ajman University of Science and Technology

Publications: 25

Hossein Moayedi

Hossein Moayedi

Ton Duc Thang University

Publications: 25

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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