World's Best Scientists 2026 revealed!
Laith Mohammad Abualigah

Laith Mohammad Abualigah

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Rising Stars
2025
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Computer Science
Jordan
2026

D-Index & Metrics

Rising Stars

D-Index
76
Citations
28969
World Ranking
44
National Ranking
1

Computer Science

D-Index
90
Citations
40826
World Ranking
600
National Ranking
1

Research.com Recognitions

  • 2026 - Research.com Computer Science in Jordan Leader Award
  • 2025 - Research.com Computer Science in Jordan Leader Award
  • 2025 - Research.com Rising Stars Award
  • 2022 - Research.com Computer Science in Jordan Leader Award

Overview

Laith Mohammad Abualigah is affiliated with Al al-Bayt University in Jordan. Their research activity spans across computer science and engineering, with a strong focus on artificial intelligence and computational methods.

Their publications include significant contributions to metaheuristic optimization algorithms. Notable recent papers are:

  • The Arithmetic Optimization Algorithm, 2021, Computer Methods in Applied Mechanics and Engineering
  • Aquila Optimizer: A novel meta-heuristic optimization algorithm, 2021, Computers & Industrial Engineering
  • Reptile Search Algorithm (RSA): A nature-inspired meta-heuristic optimizer, 2021, Expert Systems with Applications
  • K-means clustering algorithms: A comprehensive review, variants analysis, and advances in the era of big data, 2022, Information Sciences

Their work is frequently published in venues such as:

  • Neural Computing and Applications
  • Multimedia Tools and Applications
  • Scientific Reports
  • Mathematics
  • IEEE Access

Co-authorship collaboration is notable with researchers including:

  • Mohamed Abd Elaziz
  • Raed Abu Zitar
  • Absalom E. Ezugwu
  • Heming Jia
  • Amir H. Gandomi

The main fields of study in their research include:

  • Computer Science
  • Engineering

Subfields of focus comprise:

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Electrical and Electronic Engineering
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition

Key topics covered in their scientific output are:

  • Metaheuristic Optimization Algorithms Research
  • Advanced Multi-Objective Optimization Algorithms
  • Evolutionary Algorithms and Applications
  • IoT and Edge/Fog Computing
  • Cloud Computing and Resource Management
  • COVID-19 diagnosis using AI
  • Network Security and Intrusion Detection

Laith Mohammad Abualigah is also an author of book publications, including titles published by Springer Vienna and Springer Nature:

  • Deep Learning Approaches for Spoken and Natural Language Processing, 2021
  • Classification Applications with Deep Learning and Machine Learning Technologies, 2022

Best Publications

  • The Arithmetic Optimization Algorithm

    Laith Abualigah;Ali Diabat;Ali Diabat;Seyedali Mirjalili;Mohamed Abd Elaziz;Mohamed Abd Elaziz

  • Aquila Optimizer: A novel meta-heuristic optimization algorithm

    Laith Mohammad Abualigah;Dalia Yousri;Mohamed Abd El-Aziz;Ahmed A. Ewees

  • K-means clustering algorithms: A comprehensive review, variants analysis, and advances in the era of big data

    Unknown

  • Reptile Search Algorithm (RSA): A nature-inspired meta-heuristic optimizer

    Laith Abualigah;Laith Abualigah;Mohamed Abd Elaziz;Putra Sumari;Zong Woo Geem

  • Dwarf Mongoose Optimization Algorithm

    Unknown

  • Prairie Dog Optimization Algorithm

    Unknown

  • A comprehensive review

    Asaju Laaro Bolaji;Mohammed Azmi Al-Betar;Mohammed A. Awadallah;Ahamad Tajudin Khader

  • Feature Selection and Enhanced Krill Herd Algorithm for Text Document Clustering

    Laith Mohammad Qasim Abualigah

  • Gazelle optimization algorithm: a novel nature-inspired metaheuristic optimizer

    Unknown

  • A new feature selection method to improve the document clustering using particle swarm optimization algorithm

    Laith Mohammad Abualigah;Ahamad Tajudin Khader;Essam Said Hanandeh

  • Salp swarm algorithm: a comprehensive survey

    Laith Mohammad Abualigah;Mohammad Shehab;Mohammad Alshinwan;Hamzeh Alabool

  • Unsupervised text feature selection technique based on hybrid particle swarm optimization algorithm with genetic operators for the text clustering

    Laith Mohammad Abualigah;Ahamad Tajudin Khader

  • Puma optimizer (PO): a novel metaheuristic optimization algorithm and its application in machine learning

    Unknown

  • Hybrid clustering analysis using improved krill herd algorithm

    Laith Mohammad Abualigah;Ahamad Tajudin Khader;Essam Said Hanandeh

  • A novel hybrid antlion optimization algorithm for multi-objective task scheduling problems in cloud computing environments

    Laith Mohammad Abualigah;Ali Diabat;Ali Diabat

  • Advances in Sine Cosine Algorithm: A comprehensive survey

    Laith Mohammad Abualigah;Ali Diabat;Ali Diabat

  • Emerging Trends in Blockchain Technology and Applications: A Review and Outlook

    Unknown

  • Moth–flame optimization algorithm: variants and applications

    Mohammad Shehab;Laith Mohammad Abualigah;Husam Al Hamad;Hamzeh Alabool

  • Applications, Deployments, and Integration of Internet of Drones (IoD): A Review

    Laith Abualigah;Ali Diabat;Putra Sumari;Amir H. Gandomi

  • Multi-verse optimizer algorithm: a comprehensive survey of its results, variants, and applications

    Laith Mohammad Abualigah

  • Ant Lion Optimizer: A Comprehensive Survey of Its Variants and Applications

    Laith Abualigah;Mohammad Shehab;Mohammad Alshinwan;Seyedali Mirjalili

  • A combination of objective functions and hybrid Krill herd algorithm for text document clustering analysis

    Laith Mohammad Abualigah;Ahamad Tajudin Khader;Essam Said Hanandeh

  • A comprehensive survey of the Grasshopper optimization algorithm: results, variants, and applications

    Laith Mohammad Abualigah;Ali Diabat;Ali Diabat

  • A novel hybridization strategy for krill herd algorithm applied to clustering techniques

    Laith Mohammad Abualigah;Ahamad Tajudin Khader;Essam Said Hanandeh;Amir H. Gandomi

  • APPLYING GENETIC ALGORITHMS TO INFORMATION RETRIEVAL USING VECTOR SPACE MODEL

    Laith Mohammad Qasim Abualigah;Essam S. Hanandeh

  • Text feature selection with a robust weight scheme and dynamic dimension reduction to text document clustering

    Laith Mohammad Abualigah;Ahamad Tajudin Khader;Mohammed Azmi Al-Betar;Osama Ahmad Alomari

Frequent Co-Authors

Mohamed Abd Elaziz
Mohamed Abd Elaziz Ajman University of Science and Technology
Ahamad Tajudin Khader
Ahamad Tajudin Khader Universiti Sains Malaysia
Mohammed Azmi Al-Betar
Mohammed Azmi Al-Betar Ajman University of Science and Technology
Ahmed A. Ewees
Ahmed A. Ewees Damietta University
Amir H. Gandomi
Amir H. Gandomi University of Technology Sydney
Mohammed A. A. Al-qaness
Mohammed A. A. Al-qaness Zhejiang Normal University
Dalia Yousri
Dalia Yousri Khalifa University
Diego Oliva
Diego Oliva University of Guadalajara
Essam H. Houssein
Essam H. Houssein Minia University
Songfeng Lu
Songfeng Lu Huazhong University of Science and Technology

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