World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
35
Citations
5887
World Ranking
11616
National Ranking
20

Overview

Behrouz Minaei-Bidgoli is affiliated with Iran University of Science and Technology in Iran. Their research primarily spans the field of Computer Science, with a significant focus on Artificial Intelligence, Information Systems, Computer Networks and Communications, Statistical and Nonlinear Physics, and Computer Vision and Pattern Recognition.

Their work covers various main topics, including:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Complex Network Analysis Techniques
  • Text and Document Classification Technologies
  • Advanced Graph Neural Networks
  • Advanced Text Analysis Techniques
  • Recommender Systems and Techniques

Behrouz Minaei-Bidgoli has published extensively, including articles in frequent venues such as:

  • arXiv (Cornell University)
  • Research Square (Research Square)
  • The Journal of Supercomputing
  • Signal and Data Processing
  • DOAJ (DOAJ: Directory of Open Access Journals)

Among recent papers associated with their research interests are:

  • "The impact of coronavirus pandemic (COVID-19) on education: The role of virtual and remote laboratories in education," 2021, Technology in Society
  • "DistBlockBuilding: A Distributed Blockchain-Based SDN-IoT Network for Smart Building Management," 2020, IEEE Access
  • "What is the impact of service quality on customers' satisfaction during COVID-19 outbreak? New findings from online reviews analysis," 2021, Telematics and Informatics
  • "Recommendation agents and information sharing through social media for coronavirus outbreak," 2021, Telematics and Informatics
  • "Application-specific clustering in wireless sensor networks using combined fuzzy firefly algorithm and random forest," 2022, Expert Systems with Applications

Coauthorship patterns indicate frequent collaborations with researchers including Rohollah Omidvar, Hamïd Parvïn, Payam Bahrani, Mitra Mirzarezaee, and Ahmad Keshavarz.

The scholar has also contributed to book publications, including a work titled "How to Design Optimization Algorithms by Applying Natural Behavioral Patterns," published in 2020 by BENTHAM SCIENCE PUBLISHERS eBooks.

Best Publications

  • Predicting student performance: an application of data mining methods with an educational Web-based system

    B. Minaei-Bidgoli;D. A. Kashy;G. Kortemeyer;W. F. Punch

  • Using genetic algorithms for data mining optimization in an educational web-based system

    Behrouz Minaei-Bidgoli;William F. Punch

  • Using data mining to detect health care fraud and abuse: a review of literature.

    Hossein Joudaki;Arash Rashidian;Behrouz Minaei-Bidgoli;Mahmood Mahmoodi

  • Adaptive clustering ensembles

    A. Topchy;B. Minaei-Bidgoli;A.K. Jain;W.F. Punch

  • Ensembles of partitions via data resampling

    B. Minaei-Bidgoli;A. Topchy;W.F. Punch

  • Multi objective association rule mining with genetic algorithm without specifying minimum support and minimum confidence

    Hamid Reza Qodmanan;Mahdi Nasiri;Behrouz Minaei-Bidgoli

  • Comparison of Classification Methods Based on the Type of Attributes and Sample Size

    Reza Entezari-Maleki;Arash Rezaei;Behrouz Minaei-Bidgoli

  • MKNN: Modified K-Nearest Neighbor

    Hamid Parvin;Hosein Alizadeh;Behrouz Minaei-Bidgoli

  • Optimizing multi-objective PSO based feature selection method using a feature elitism mechanism

    Maryam Amoozegar;Behrouz Minaei-Bidgoli

  • Mining numerical association rules via multi-objective genetic algorithms

    B. Minaei-Bidgoli;R. Barmaki;M. Nasiri

  • Effects of resampling method and adaptation on clustering ensemble efficacy

    Behrouz Minaei-Bidgoli;Hamid Parvin;Hamid Alinejad-Rokny;Hosein Alizadeh

  • Mining interesting contrast rules for a web-based educational system

    B. Minaei-Bidgoli;Pang-Ning Tan;W.F. Punch

  • The impact of coronavirus pandemic (COVID-19) on education: The role of virtual and remote laboratories in education.

    Rabab Ali Abumalloh;Shahla Asadi;Mehrbakhsh Nilashi;Mehrbakhsh Nilashi;Behrouz Minaei-Bidgoli

  • A comparison of resampling methods for clustering ensembles

    Behrouz Minaei-Bidgoli;Alexander P. Topchy;William F. Punch

  • DistBlockBuilding: A Distributed Blockchain-Based SDN-IoT Network for Smart Building Management

    Anichur Rahman;Mostofa Kamal Nasir;Ziaur Rahman;Amir Mosavi

  • What is the impact of service quality on customers’ satisfaction during COVID-19 outbreak? New findings from online reviews analysis

    Mehrbakhsh Nilashi;Mehrbakhsh Nilashi;Rabab Ali Abumalloh;Abdullah Alghamdi;Behrouz Minaei-Bidgoli

  • Cluster ensemble selection based on a new cluster stability measure

    Hosein Alizadeh;Behrouz Minaei-Bidgoli;Hamid Parvin

  • PREDICTING STUDENT PERFORMANCE: AN APPLICATION OF DATA MINING METHODS WITH THE EDUCATIONAL WEB-BASED SYSTEM LON-CAPA

    Behrouz Minaei-Bidgoli;Deborah A. Kashy;Gerd Kortemeyer;William F. Punch

  • negFIN: An efficient algorithm for fast mining frequent itemsets

    Nader Aryabarzan;Behrouz Minaei-Bidgoli;Mohammad Teshnehlab

  • A clustering ensemble framework based on selection of fuzzy weighted clusters in a locally adaptive clustering algorithm

    Hamid Parvin;Behrouz Minaei-Bidgoli

Frequent Co-Authors

William F. Punch
William F. Punch Michigan State University
Deborah A. Kashy
Deborah A. Kashy Michigan State University
Mahmood Fathy
Mahmood Fathy Iran University of Science and Technology
Arash Rashidian
Arash Rashidian World Health Organization
Mohammad Teshnehlab
Mohammad Teshnehlab K.N.Toosi University of Technology
Shahab S. Band
Shahab S. Band National Yunlin University of Science and Technology
Aldo Gangemi
Aldo Gangemi University of Bologna
Pang-Ning Tan
Pang-Ning Tan Michigan State University
Daoqiang Zhang
Daoqiang Zhang Nanjing University of Aeronautics and Astronautics
Anil K. Jain
Anil K. Jain Michigan State University

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