World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
51
Citations
9840
World Ranking
5367
National Ranking
323

Mohammad Shojafar publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Mohammad Shojafar sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 250 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 560 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 248 publications — 62nd percentile

62% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Mohammad Shojafar D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Mohammad Shojafar sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 51 D-Index — 63rd percentile

63% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Mohammad Shojafar is affiliated with the University of Surrey in the United Kingdom. Their research spans multiple fields, predominantly within computer science and engineering. The main areas of study include computer networks and communications, artificial intelligence, electrical and electronic engineering, information systems, and signal processing.

The scientist's work focuses on several core topics such as network security and intrusion detection, IoT and edge/fog computing, advanced malware detection techniques, software-defined networks and 5G, privacy-preserving technologies in data, cloud computing and resource management, and advanced authentication protocols security.

Recent publications by Mohammad Shojafar include:

  • "Convergence of blockchain and artificial intelligence in IoT network for the sustainable smart city" (2020) published in Sustainable Cities and Society
  • "Fed-IIoT: A Robust Federated Malware Detection Architecture in Industrial IoT" (2020) appearing in IEEE Transactions on Industrial Informatics
  • "Intelligent Reflecting Surface Assisted Mobile Edge Computing for Internet of Things" (2020) featured in IEEE Wireless Communications Letters
  • "AFED-EF: An Energy-Efficient VM Allocation Algorithm for IoT Applications in a Cloud Data Center" (2021) published in IEEE Transactions on Green Communications and Networking
  • Another publication from 2020 in Surrey Open Research repository (University of Surrey)

Mohammad Shojafar has published in several venues repeatedly, including:

  • IEEE Transactions on Industrial Informatics
  • IEEE Transactions on Intelligent Transportation Systems
  • arXiv (Cornell University)
  • IEEE Transactions on Network and Service Management
  • Neural Computing and Applications

The scientist frequently collaborates with a group of co-authors, notably Rahim Tafazolli, Rahim Taheri, Mamoun Alazab, Saru Kumari, and Zahra Pooranian.

Shojafar has also contributed to academic book literature, with a publication under Springer Nature titled Machine Intelligence and Big Data Analytics for Cybersecurity Applications released in 2020.

Best Publications

  • Convergence of blockchain and artificial intelligence in IoT network for the sustainable smart city

    Saurabh Singh;Pradip Kumar Sharma;Byungun Yoon;Mohammad Shojafar

  • Fog of Everything: Energy-Efficient Networked Computing Architectures, Research Challenges, and a Case Study

    Enzo Baccarelli;Paola G. Vinueza Naranjo;Michele Scarpiniti;Mohammad Shojafar

  • Energy-Efficient Adaptive Resource Management for Real-Time Vehicular Cloud Services

    Mohammad Shojafar;Nicola Cordeschi;Enzo Baccarelli

  • Survey of main challenges (security and privacy) in wireless body area networks for healthcare applications

    Samaher Al-Janabi;Ibrahim Al-Shourbaji;Mohammad Shojafar;Shahaboddin Shamshirband

  • P-SEP: a prolong stable election routing algorithm for energy-limited heterogeneous fog-supported wireless sensor networks

    Paola G. Naranjo;Mohammad Shojafar;Habib Mostafaei;Zahra Pooranian

  • Computational Intelligence Approaches for Energy Load Forecasting in Smart Energy Management Grids: State of the Art, Future Challenges, and Research Directions

    Seyedeh Narjes Fallah;Ravinesh Chand Deo;Mohammad Shojafar;Mauro Conti

  • FOCAN: A Fog-supported smart city network architecture for management of applications in the Internet of Everything environments

    Paola Gabriela Vinueza Naranjo;Zahra Pooranian;Mohammad Shojafar;Mohammad Shojafar;Mauro Conti

  • Energy-efficient dynamic traffic offloading and reconfiguration of networked data centers for big data stream mobile computing: review, challenges, and a case study

    Enzo Baccarelli;Nicola Cordeschi;Alessandro Mei;Massimo Panella

  • Similarity-based Android Malware Detection Using Hamming Distance of Static Binary Features

    Rahim Taheri;Meysam Ghahramani;Reza Javidan;Mohammad Shojafar;Mohammad Shojafar

  • Resource Allocation and Task Scheduling in Fog Computing and Internet of Everything Environments: A Taxonomy, Review, and Future Directions

    Unknown

  • Deadline-aware and energy-efficient IoT task scheduling in fog computing systems: A semi-greedy approach

    Unknown

  • FUGE: A joint meta-heuristic approach to cloud job scheduling algorithm using fuzzy theory and a genetic method

    Mohammad Shojafar;Saeed Javanmardi;Saeid Abolfazli;Nicola Cordeschi

  • Fed-IIoT: A Robust Federated Malware Detection Architecture in Industrial IoT

    Rahim Taheri;Mohammad Shojafar;Mamoun Alazab;Rahim Tafazolli

  • Joint Energy Efficient and QoS-Aware Path Allocation and VNF Placement for Service Function Chaining

    Mohammad M. Tajiki;Stefano Salsano;Luca Chiaraviglio;Mohammad Shojafar

  • LACO: Lightweight Three-Factor Authentication, Access Control and Ownership Transfer Scheme for E-Health Systems in IoT

    Seyed Farhad Aghili;Hamid Mala;Mohammad Shojafar;Pedro Peris-Lopez

  • AFED-EF: An Energy-Efficient VM Allocation Algorithm for IoT Applications in a Cloud Data Center

    Zhou Zhou;Mohammad Shojafar;Mamoun Alazab;Jemal Abawajy

  • Intelligent Reflecting Surface Assisted Mobile Edge Computing for Internet of Things

    Zheng Chu;Pei Xiao;Mohammad Shojafar;De Mi

  • A job scheduling algorithm for delay and performance optimization in fog computing

    Bushra Jamil;Mohammad Shojafar;Israr Ahmed;Atta Ullah

  • FR trust: a fuzzy reputation-based model for trust management in semantic P2P grids

    Saeed Javanmardi;Mohammad Shojafar;Shahdad Shariatmadari;Sima S. Ahrabi

  • Hybrid Job Scheduling Algorithm for Cloud Computing Environment

    Saeed Javanmardi;Mohammad Shojafar;Danilo Amendola;Nicola Cordeschi

  • A comprehensive survey on cyber deception techniques to improve honeypot performance

    Unknown

  • Distributed and adaptive resource management in Cloud-assisted Cognitive Radio Vehicular Networks with hard reliability guarantees

    Nicola Cordeschi;Danilo Amendola;Mohammad Shojafar;Enzo Baccarelli

  • Mobile Cloud Computing: Challenges and Future Research Directions

    Samaher Al-Janabi;Ibrahim Al-Shourbaji;Mohammad Shojafar;Mohammed Abdelhag

  • Computational intelligence approaches for energy load forecasting in smart energy management grids: state of the art, future challenges, and research directionsand Research Directions

    Seyedeh Narjes Fallah;Ravinesh Chand Deo;Mohammad Shojafar;Mauro Conti

Frequent Co-Authors

Enzo Baccarelli
Enzo Baccarelli Sapienza University of Rome
Mauro Conti
Mauro Conti University of Padua
Ajith Abraham
Ajith Abraham Sai University
Stefano Salsano
Stefano Salsano University of Rome Tor Vergata
Mukesh Singhal
Mukesh Singhal University of California, Merced
Jemal H. Abawajy
Jemal H. Abawajy Deakin University
Luca Chiaraviglio
Luca Chiaraviglio University of Rome Tor Vergata
Shahab S. Band
Shahab S. Band National Yunlin University of Science and Technology
Mohammad Reza Meybodi
Mohammad Reza Meybodi Amirkabir University of Technology
Rajkumar Buyya
Rajkumar Buyya University of Melbourne

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