World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
53
Citations
11387
World Ranking
2402
National Ranking
130

Computer Science

D-Index
56
Citations
12991
World Ranking
4063
National Ranking
245

Hani Hagras publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Hani Hagras sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 311 publications — 60th percentile

60% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Hani Hagras D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Hani Hagras sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 53 D-Index — 66th percentile

66% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Research.com Recognitions

  • 2013 - IEEE Fellow For contributions to fuzzy systems

Overview

Hani Hagras is affiliated with the University of Essex in the United Kingdom and has contributed to the field of Computer Science, particularly within Artificial Intelligence and related subfields.

Their research spans several subfields including:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Molecular Biology
  • Cognitive Neuroscience
  • Media Technology

Key research topics addressed in their work include:

  • Advanced Image and Video Retrieval Techniques
  • Image Retrieval and Classification Techniques
  • Fuzzy Logic and Control Systems
  • Explainable Artificial Intelligence (XAI)
  • Neural Networks and Applications
  • Remote-Sensing Image Classification
  • Genomics and Phylogenetic Studies

Hagras has published numerous papers in peer-reviewed journals, with selected recent papers as follows:

  • "A hybrid interval type-2 semi-supervised possibilistic fuzzy c-means clustering and particle swarm optimization for satellite image analysis" (2020), Information Sciences
  • "An explainable artificial intelligence approach for decoding the enhancer histone modifications code and identification of novel enhancers in Drosophila" (2021), Genome Biology
  • "Explainable artificial intelligence based analysis for interpreting infant fNIRS data in developmental cognitive neuroscience" (2021), Communications Biology
  • "Effective Brain Connectivity for fNIRS With Fuzzy Cognitive Maps in Neuroergonomics" (2020), IEEE Transactions on Cognitive and Developmental Systems
  • "Interval Type-2 Beta Fuzzy Near Sets Approach to Content-Based Image Retrieval" (2021), IEEE Transactions on Fuzzy Systems

The scholar frequently collaborates with several co-authors, among them:

  • Javier Andreu-Pérez
  • Mehrin Kiani
  • Chin-Teng Lin
  • Adel M. Alimi
  • Anthony Conway

Publication venues where Hagras's work is regularly featured include:

  • IEEE Transactions on Fuzzy Systems
  • IEEE Transactions on Artificial Intelligence
  • Discover Artificial Intelligence
  • SSRN Electronic Journal
  • Damietta Journal of Agricultural Sciences

The researcher has contributed chapters and books published by Springer Nature, such as:

  • "Recent Advances in Artificial Intelligence and Data Engineering" (2021)
  • "Educating Engineers for Future Industrial Revolutions" (2021)
  • "Intelligent Computing and Applications" (2020)

Among their recognitions is the IEEE Fellow award received in 2013, granted for contributions to fuzzy systems.

Best Publications

  • A hierarchical type-2 fuzzy logic control architecture for autonomous mobile robots

    H.A. Hagras

  • Type-2 FLCs: A New Generation of Fuzzy Controllers

    H. Hagras

  • A Historical Account of Types of Fuzzy Sets and Their Relationships

    Humberto Bustince;Edurne Barrenechea;Miguel Pagola;Javier Fernandez

  • Toward General Type-2 Fuzzy Logic Systems Based on zSlices

    Christian Wagner;Hani Hagras

  • Creating an ambient-intelligence environment using embedded agents

    H. Hagras;V. Callaghan;M. Colley;G. Clarke

  • A fuzzy embedded agent-based approach for realizing ambient intelligence in intelligent inhabited environments

    F. Doctor;H. Hagras;V. Callaghan

  • A Survey of Artificial Intelligence Techniques Employed for Adaptive Educational Systems within E-Learning Platforms

    Khalid Colchester;Hani Hagras;Daniyal M. Alghazzawi;Ghadah Aldabbagh

  • Toward Human-Understandable, Explainable AI

    Hani Hagras

  • An Intelligent Fuzzy Agent Approach for Realising Ambient Intelligence in Intelligent Inhabited Environments

    Faiyaz Doctor;Hani Hagras;Victor Callaghan

  • A Type-2 Fuzzy Ontology and Its Application to Personal Diabetic-Diet Recommendation

    Chang-Shing Lee;Mei-Hui Wang;H. Hagras

  • What Computing with Words Means to Me [Discussion Forum]

    J. Mendel;L. Zadeh;E. Trillas;R. Yager

  • Introduction to Type-2 Fuzzy Logic Control: Theory and Applications

    Unknown

  • Introduction to Type-2 Fuzzy Logic Control: Theory and Applications

    Jerry Mendel;Hani Hagras;Woei-Wan Tan;William W. Melek

  • A Compact Evolutionary Interval-Valued Fuzzy Rule-Based Classification System for the Modeling and Prediction of Real-World Financial Applications With Imbalanced Data

    Jose Antonio Sanz;Dario Bernardo;Francisco Herrera;Humberto Bustince

  • Interval Type-2 Fuzzy Logic Congestion Control for Video Streaming Across IP Networks

    E.A. Jammeh;M. Fleury;C. Wagner;H. Hagras

  • Interval Type-2 Fuzzy Sets are Generalization of Interval-Valued Fuzzy Sets: Toward a Wider View on Their Relationship

    Unknown

  • Towards the Wide Spread Use of Type-2 Fuzzy Logic Systems in Real World Applications

    H. Hagras;C. Wagner

  • An Incremental Adaptive Life Long Learning Approach for Type-2 Fuzzy Embedded Agents in Ambient Intelligent Environments

    H. Hagras;F. Doctor;V. Callaghan;A. Lopez

  • What Computing With Words Means to Me

    Jerry M Mendel;Lotfi A Zadeh;Enric Trillas;Ronald Yager

  • A hierarchical fuzzy-genetic multi-agent architecture for intelligent buildings online learning, adaptation and control

    Hani Hagras;Victor Callaghan;Martin Colley;Graham Clarke

  • Comments on “Interval Type-2 Fuzzy Sets are Generalization of Interval-Valued Fuzzy Sets: Towards a Wide View on Their Relationship”

    Humberto Bustince Sola;Javier Fernandez;Hani Hagras;Francisco Herrera

  • Evolving spiking neural network controllers for autonomous robots

    H. Hagras;A. Pounds-Cornish;M. Colley;V. Callaghan

Frequent Co-Authors

Vic Callaghan
Vic Callaghan University of Essex
Jerry M. Mendel
Jerry M. Mendel University of Southern California
Hao Ying
Hao Ying Wayne State University
Héctor Pomares
Héctor Pomares University of Granada
Wolfgang Minker
Wolfgang Minker University of Ulm
Ignacio Rojas
Ignacio Rojas University of Granada
Diane J. Cook
Diane J. Cook Washington State University
Francisco Herrera
Francisco Herrera University of Granada
Edward Tsang
Edward Tsang University of Essex
Humberto Bustince
Humberto Bustince Universidad Publica De Navarra

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