World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
59
Citations
20262
World Ranking
3354
National Ranking
22

Overview

Amir Masoud Rahmani is affiliated with the National Yunlin University of Science and Technology in Taiwan. Their research focuses primarily on computer science and engineering, with a significant body of work in subfields such as computer networks and communications, information systems, artificial intelligence, electrical and electronic engineering, and computer vision and pattern recognition.

The main topics covered in Rahmani's work include:

  • IoT and Edge/Fog Computing
  • Cloud Computing and Resource Management
  • Blockchain Technology Applications and Security
  • Energy Efficient Wireless Sensor Networks
  • Mobile Ad Hoc Networks
  • Vehicular Ad Hoc Networks (VANETs)
  • UAV Applications and Optimization

Rahmani has published extensively, with contributions to several frequent publication venues that include:

  • IEEE Access
  • International Journal of Communication Systems
  • Cluster Computing
  • Mathematics
  • Vehicular Communications

Among Rahmani's recent papers are:

  • "Machine Learning (ML) in Medicine: Review, Applications, and Challenges" published in 2021 in Mathematics
  • "A comprehensive survey and taxonomy of the SVM-based intrusion detection systems" published in 2021 in Journal of Network and Computer Applications
  • "Deep Learning-Based Intrusion Detection Systems: A Systematic Review" published in 2021 in IEEE Access
  • "Deep learning applications for IoT in health care: A systematic review" published in 2021 in Informatics in Medicine Unlocked
  • "The Role of the Internet of Things in Healthcare: Future Trends and Challenges" published in 2020 in Computer Methods and Programs in Biomedicine

The scientist frequently collaborates with several co-authors, most notably:

  • Mehdi Hosseinzadeh
  • Mohammad Sadegh Yousefpoor
  • Efat Yousefpoor
  • Jan Lánský

Rahmani's work covers over 500 publications in computer science and over 130 in engineering, reflecting an extensive research output in these fields. The combination of interdisciplinary topics such as IoT, blockchain applications, and AI alongside strong focuses on communication networks highlights their diverse methodological approaches and thematic interests.

Best Publications

  • Global, regional, and national burden of stroke and its risk factors, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

    Valery L Feigin;Benjamin A Stark;Catherine Owens Johnson;Gregory A Roth

  • Spatial, temporal, and demographic patterns in prevalence of smoking tobacco use and attributable disease burden in 204 countries and territories, 1990–2019: a systematic analysis from the Global Burden of Disease Study 2019

    Marissa B Reitsma;Parkes J Kendrick;Emad Ababneh;Cristiana Abbafati

  • Internet of Things applications: A systematic review

    Parvaneh Asghari;Amir Masoud Rahmani;Hamid Haj Seyyed Javadi

  • Load-balancing algorithms in cloud computing

    Einollah Jafarnejad Ghomi;Amir Masoud Rahmani;Nooruldeen Nasih Qader

  • Deep Learning-Based Intrusion Detection Systems: A Systematic Review

    Jan Lansky;Saqib Ali;Mokhtar Mohammadi;Mohammed Kamal Majeed

  • A comprehensive survey and taxonomy of the SVM-based intrusion detection systems

    Mokhtar Mohammadi;Tarik A. Rashid;Sarkhel H.Taher Karim;Sarkhel H.Taher Karim;Adil Hussain Mohammed Aldalwie

  • Machine Learning (ML) in Medicine: Review, Applications, and Challenges

    Amir Masoud Rahmani;Efat Yousefpoor;Mohammad Sadegh Yousefpoor;Zahid Mehmood

  • Dynamic VMs placement for energy efficiency by PSO in cloud computing

    Seyed Ebrahim Dashti;Amir Masoud Rahmani

  • Expert Cloud

    Nima Jafari Navimipour;Amir Masoud Rahmani;Ahmad Habibizad Navin;Mehdi Hosseinzadeh

  • Trust-based recommendation systems in Internet of Things: a systematic literature review

    Venus Mohammadi;Amir Masoud Rahmani;Aso Mohammed Darwesh;Amir Sahafi

  • Service composition approaches in IoT: A systematic review

    Parvaneh Asghari;Amir Masoud Rahmani;Hamid Haj Seyyed Javadi

  • Tracking development assistance for health and for COVID-19: a review of development assistance, government, out-of-pocket, and other private spending on health for 204 countries and territories, 1990-2050.

    Angela E Micah;Ian E Cogswell;Brandon Cunningham;Satoshi Ezoe

  • Reliability and high availability in cloud computing environments: a reference roadmap

    Mohammad Reza Mesbahi;Amir Masoud Rahmani;Mehdi Hosseinzadeh

  • The Role of the Internet of Things in Healthcare: Future Trends and Challenges.

    Zahra Nasiri Aghdam;Amir Masoud Rahmani;Mehdi Hosseinzadeh;Mehdi Hosseinzadeh

  • Deep learning applications for IoT in health care: A systematic review

    Hamidreza Bolhasani;Maryam Mohseni;Amir Masoud Rahmani

  • Artificial intelligence approaches and mechanisms for big data analytics: a systematic study.

    Amir Masoud Rahmani;Amir Masoud Rahmani;Elham Azhir;Saqib Ali;Mokhtar Mohammadi

  • Systematic survey of big data and data mining in internet of things

    Shabnam Shadroo;Amir Masoud Rahmani

  • HOCA: Healthcare Aware Optimized Congestion Avoidance and control protocol for wireless sensor networks

    Abbas Ali Rezaee;Mohammad Hossein Yaghmaee;Amir Masoud Rahmani;Amir Hossein Mohajerzadeh

  • A secure remote health monitoring model for early disease diagnosis in cloud-based IoT environment.

    Samira Akhbarifar;Hamid Haj Seyyed Javadi;Amir Masoud Rahmani;Mehdi Hosseinzadeh;Mehdi Hosseinzadeh

  • Formal verification approaches and standards in the cloud computing

    Alireza Souri;Nima Jafari Navimipour;Amir Masoud Rahmani

  • Resource discovery mechanisms in grid systems: A survey

    Nima Jafari Navimipour;Amir Masoud Rahmani;Ahmad Habibizad Navin;Mehdi Hosseinzadeh

  • Fog Computing Applications in Smart Cities: A Systematic Survey

    Ghazaleh Javadzadeh;Amir Masoud Rahmani

  • Load Balancing in Cloud Computing: A State of the Art Survey

    Mohammadreza Mesbahi;Amir Masoud Rahmani

  • A survey study on virtual machine migration and server consolidation techniques in DVFS-enabled cloud datacenter: Taxonomy and challenges

    Mirsaeid Hosseini Shirvani;Amir Masoud Rahmani;Amir Sahafi

Frequent Co-Authors

Mehdi Hosseinzadeh
Mehdi Hosseinzadeh Washington State University
Nima Jafari Navimipour
Nima Jafari Navimipour Kadir Has University
Sanjay Basu
Sanjay Basu Stanford University
Salman Rawaf
Salman Rawaf Imperial College London
Florian Fischer
Florian Fischer Charité - University Medicine Berlin
Mehdi Dehghan
Mehdi Dehghan Amirkabir University of Technology
Rakhi Dandona
Rakhi Dandona Public Health Foundation of India
Till Bärnighausen
Till Bärnighausen Heidelberg University
Zahid A Butt
Zahid A Butt University of Waterloo
Andre M. N. Renzaho
Andre M. N. Renzaho Western Sydney University

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