World's Best Scientists 2026 revealed!
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Computer Science
UK
2023

D-Index & Metrics

Computer Science

D-Index
77
Citations
23445
World Ranking
1275
National Ranking
74

Amir Hussain 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 Amir Hussain 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: 516 publications — 94th percentile

94% of scientists in this discipline score the same or lower.

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

Amir Hussain 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 Amir Hussain 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: 77 D-Index — 91st percentile

91% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2023 - Research.com Computer Science in United Kingdom Leader Award

Overview

Amir Hussain is affiliated with Edinburgh Napier University in the United Kingdom. Their research primarily focuses on computer science, with a significant emphasis on artificial intelligence and related subfields. The volume of their work includes publishing in areas such as artificial intelligence, computer vision and pattern recognition, signal processing, aerospace engineering, and cognitive neuroscience.

Their scholarly contributions cover main topics such as speech and audio processing, advanced neural network applications, topic modeling, sentiment analysis and opinion mining, advanced text analysis techniques, video surveillance and tracking methods, and advanced synthetic aperture radar imaging techniques.

Amir Hussain has co-authored numerous papers with frequent collaborators including Enrique Herrera-Viedma, Kia Dashtipour, Mandar Gogate, Giancarlo Fortino, and Sam Kwong.

They have published work in several prominent venues:

  • IEEE Transactions on Systems Man and Cybernetics Systems (42 publications)
  • arXiv (Cornell University) (38 publications)
  • Cognitive Computation (25 publications)
  • Neurocomputing (21 publications)
  • Expert Systems (18 publications)

Examples of recent papers authored or co-authored by Amir Hussain include:

  • "Artificial Intelligence-Enabled Analysis of Public Attitudes on Facebook and Twitter Toward COVID-19 Vaccines in the United Kingdom and the United States: Observational Study" (2021) published in Journal of Medical Internet Research
  • "Interpreting Black-Box Models: A Review on Explainable Artificial Intelligence" (2023) published in Cognitive Computation
  • "Multimodal sentiment analysis: A systematic review of history, datasets, multimodal fusion methods, applications, challenges and future directions" (2022) published in Information Fusion
  • "Deep learning in mining biological data" (2021) published in Nottingham Trent University's Institutional Repository
  • "Big data and IoT-based applications in smart environments: A systematic review" (2020) published in Computer Science Review

Amir Hussain has contributed to book publications. These include works published by Springer International Publishing and Cambridge University Press. Specifically, the titles published in 2024 by Springer are both named "Artificial Intelligence, Data Science and Applications." Additionally, there is a title named "Scripture People" published in 2023 by Cambridge University Press.

Best Publications

  • A review of affective computing

    Soujanya Poria;Erik Cambria;Rajiv Bajpai;Amir Hussain

  • Applications of Deep Learning and Reinforcement Learning to Biological Data

    Mufti Mahmud;Mohammed Shamim Kaiser;Amir Hussain;Stefano Vassanelli

  • Convolutional MKL Based Multimodal Emotion Recognition and Sentiment Analysis

    Soujanya Poria;Iti Chaturvedi;Erik Cambria;Amir Hussain

  • Fusing audio, visual and textual clues for sentiment analysis from multimodal content

    Soujanya Poria;Erik Cambria;Newton Howard;Guang-Bin Huang

  • Group sparse regularization for deep neural networks

    Simone Scardapane;Danilo Comminiello;Amir Hussain;Aurelio Uncini

  • Agent-based computing from multi-agent systems to agent-based models: a visual survey

    Muaz Niazi;Amir Hussain

  • Unsupervised Machine Learning for Networking: Techniques, Applications and Research Challenges

    Muhammad Usama;Junaid Qadir;Aunn Raza;Hunain Arif

  • Deep Learning in Mining Biological Data

    Mufti Mahmud;M. Shamim Kaiser;T. Martin McGinnity;Amir Hussain

  • SenticNet: A Publicly Available Semantic Resource for Opinion Mining

    Erik Cambria;Robert Speer;Catherine Havasi;Amir Hussain

  • The hourglass of emotions

    Erik Cambria;Andrew Livingstone;Amir Hussain

  • Big data and IoT-based applications in smart environments: A systematic review

    Yosra Hajjaji;Wadii Boulila;Imed Riadh Farah;Imed Romdhani

  • TSDL: A Two-Stage Deep Learning Model for Efficient Network Intrusion Detection

    Farrukh Aslam Khan;Abdu Gumaei;Abdelouahid Derhab;Amir Hussain

  • Multilingual Sentiment Analysis: State of the Art and Independent Comparison of Techniques.

    Kia Dashtipour;Soujanya Poria;Amir Hussain;Erik Cambria

  • A novel multi-modal machine learning based approach for automatic classification of EEG recordings in dementia.

    Cosimo Ieracitano;Nadia Mammone;Amir Hussain;Francesco Carlo Morabito

  • Comparing Oversampling Techniques to Handle the Class Imbalance Problem: A Customer Churn Prediction Case Study

    Adnan Amin;Sajid Anwar;Awais Adnan;Muhammad Nawaz

  • Sentic LSTM: a Hybrid Network for Targeted Aspect-Based Sentiment Analysis

    Yukun Ma;Haiyun Peng;Tahir Khan;Erik Cambria

  • SenticNet 2: A Semantic and Affective Resource for Opinion Mining and Sentiment Analysis

    Erik Cambria;Catherine Havasi;Amir Hussain

  • Sentic Computing: Techniques, Tools, and Applications

    Erik Cambria;Amir Hussain

  • Enhanced SenticNet with Affective Labels for Concept-Based Opinion Mining

    S. Poria;A. Gelbukh;A. Hussain;N. Howard

  • Customer churn prediction in the telecommunication sector using a rough set approach

    Adnan Amin;Sajid Anwar;Awais Adnan;Muhammad Nawaz

  • Artificial Intelligence-Enabled Analysis of Public Attitudes on Facebook and Twitter Toward COVID-19 Vaccines in the United Kingdom and the United States: Observational Study.

    Amir Hussain;Ahsen Tahir;Zain Hussain;Zakariya Sheikh

  • Towards an intelligent framework for multimodal affective data analysis

    Soujanya Poria;Erik Cambria;Amir Hussain;Guang-Bin Huang

Frequent Co-Authors

Erik Cambria
Erik Cambria Nanyang Technological University
Soujanya Poria
Soujanya Poria Nanyang Technological University
Kaizhu Huang
Kaizhu Huang Duke Kunshan University
Mufti Mahmud
Mufti Mahmud Nottingham Trent University
Bin Luo
Bin Luo Anhui University
Alexander Gelbukh
Alexander Gelbukh Instituto Politécnico Nacional
Francesco Carlo Morabito
Francesco Carlo Morabito University of Reggio Calabria
Huiyu Zhou
Huiyu Zhou University of Leicester
Francesco Piazza
Francesco Piazza Marche Polytechnic University
John J. Soraghan
John J. Soraghan University of Strathclyde

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