World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
78
Citations
25986
World Ranking
1202
National Ranking
639

Samee U. Khan 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 Samee U. Khan 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: 249 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: 559 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: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 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: 447 publications — 90th percentile

90% of scientists in this discipline score the same or lower.

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

Samee U. Khan 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 Samee U. Khan sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 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: 78 D-Index — 92nd percentile

92% of scientists in this discipline score the same or lower.

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

Overview

Samee U. Khan is affiliated with Mississippi State University in the United States. Their research spans multiple fields, primarily focusing on Computer Science and Engineering. Within these broad disciplines, their work extensively covers subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, Computer Networks and Communications, and Signal Processing.

The scientist's recent publications highlight a focus on energy management, forecasting models, and video analysis. Notable papers include:

  • Towards intelligent building energy management: AI-based framework for power consumption and generation forecasting (2022, Energy and Buildings)
  • DB-Net: A novel dilated CNN based multi-step forecasting model for power consumption in integrated local energy systems (2021, International Journal of Electrical Power & Energy Systems)
  • Deep multi-scale pyramidal features network for supervised video summarization (2023, Expert Systems with Applications)
  • Fog Based Architecture and Load Balancing Methodology for Health Monitoring Systems (2021, IEEE Access)
  • Improve Accuracy of Speech Emotion Recognition with Attention Head Fusion (2020, 2020 10th Annual Computing and Communication Workshop and Conference (CCWC))

Samee U. Khan frequently collaborates with several coauthors, including:

  • Sung Wook Baik
  • Noman Khan
  • Mi Young Lee
  • Ijaz Ul Haq
  • Altaf Hussain

The scientist has published regularly in a range of venues, with the most frequent being:

  • arXiv (Cornell University)
  • IEEE Access
  • Engineering Applications of Artificial Intelligence
  • Mathematics
  • IEEE Internet of Things Journal

Research topics addressed in their work reflect a focus on the intersection of intelligent systems and energy management, as well as video and activity analysis. Key topics include:

  • Energy Load and Power Forecasting
  • Video Surveillance and Tracking Methods
  • Human Pose and Action Recognition
  • Solar Radiation and Photovoltaics
  • Smart Grid Energy Management
  • IoT and Edge/Fog Computing
  • Context-Aware Activity Recognition Systems

Samee U. Khan's body of work contributes to the development of AI-based frameworks for power consumption forecasting, novel convolutional neural network architectures for energy system predictions, and methodologies for video summarization and health system monitoring. Their research bridges computational intelligence and practical applications in energy and surveillance domains.

Best Publications

  • The rise of big data on cloud computing

    Ibrahim Abaker Targio Hashem;Ibrar Yaqoob;Nor Badrul Anuar;Salimah Mokhtar

  • GreenCloud: a packet-level simulator of energy-aware cloud computing data centers

    Dzmitry Kliazovich;Pascal Bouvry;Samee Ullah Khan

  • Security in cloud computing

    Mazhar Ali;Samee U. Khan;Athanasios V. Vasilakos

  • A Survey of Mobile Cloud Computing Application Models

    Atta Ur Rehman Khan;Mazliza Othman;Sajjad Ahmad Madani;Samee Ullah Khan

  • Spatial sensitivity analysis of multi-criteria weights in GIS-based land suitability evaluation

    Unknown

  • A literature review on the state-of-the-art in patent analysis

    Assad Abbas;Limin Zhang;Samee U. Khan

  • Towards secure mobile cloud computing: A survey

    Abdul Nasir Khan;M. L. Mat Kiah;Samee U. Khan;Sajjad A. Madani

  • GreenCloud: A Packet-Level Simulator of Energy-Aware Cloud Computing Data Centers

    Dzmitry Kliazovich;Pascal Bouvry;Yury Audzevich;Samee Ullah Khan

  • A survey and taxonomy on energy efficient resource allocation techniques for cloud computing systems

    Abdul Hameed;Alireza Khoshkbarforoushha;Rajiv Ranjan;Prem Prakash Jayaraman

  • A Review on the State-of-the-Art Privacy-Preserving Approaches in the e-Health Clouds

    Assad Abbas;Samee Ullah Khan

  • A Survey of Mobile Device Virtualization: Taxonomy and State of the Art

    Junaid Shuja;Abdullah Gani;Kashif Bilal;Atta Ur Rehman Khan

  • Potentials, trends, and prospects in edge technologies: Fog, cloudlet, mobile edge, and micro data centers

    Kashif Bilal;Kashif Bilal;Osman Khalid;Aiman Erbad;Samee U. Khan

  • DENS: Data Center Energy-Efficient Network-Aware Scheduling

    Dzmitry Kliazovich;Pascal Bouvry;Samee Ullah Khan

  • IFCIoT: Integrated Fog Cloud IoT: A novel architectural paradigm for the future Internet of Things.

    Arslan Munir;Prasanna Kansakar;Samee U. Khan

  • An Energy-Efficient Task Scheduling Algorithm in DVFS-enabled Cloud Environment

    Zhuo Tang;Ling Qi;Zhenzhen Cheng;Kenli Li

  • An overview of energy efficiency techniques in cluster computing systems

    Giorgio Luigi Valentini;Walter Lassonde;Samee Ullah Khan;Nasro Min-Allah

  • Big Data Privacy in the Internet of Things Era

    Charith Perera;Rajiv Ranjan;Lizhe Wang;Samee U. Khan

  • Review of performance metrics for green data centers: a taxonomy study

    Lizhe Wang;Samee U. Khan

  • A Cooperative Game Theoretical Technique for Joint Optimization of Energy Consumption and Response Time in Computational Grids

    S.U. Khan;I. Ahmad

  • SeDaSC: Secure Data Sharing in Clouds

    Mazhar Ali;Revathi Dhamotharan;Eraj Khan;Samee U. Khan

  • Energy-aware parallel task scheduling in a cluster

    Lizhe Wang;Lizhe Wang;Samee U. Khan;Dan Chen;Joanna KołOdziej

  • A taxonomy and survey on Green Data Center Networks

    Kashif Bilal;Saif Ur Rehman Malik;Osman Khalid;Abdul Hameed

Frequent Co-Authors

Albert Y. Zomaya
Albert Y. Zomaya University of Sydney
Joanna Kolodziej
Joanna Kolodziej NASK National Research Institute
Pascal Bouvry
Pascal Bouvry University of Luxembourg
Kashif Bilal
Kashif Bilal COMSATS University Islamabad
Lizhe Wang
Lizhe Wang China University of Geosciences
Sajjad Ahmad Madani
Sajjad Ahmad Madani COMSATS University Islamabad
Cheng-Zhong Xu
Cheng-Zhong Xu University of Macau
Ishfaq Ahmad
Ishfaq Ahmad The University of Texas at Arlington
Dan Chen
Dan Chen Wuhan University
Keqin Li
Keqin Li State University of New York at New Paltz

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