World's Best Scientists 2026 revealed!
Amir F. Atiya

Amir F. Atiya

D-Index & Metrics

Computer Science

D-Index
48
Citations
13427
World Ranking
6055
National Ranking
8

Amir F. Atiya 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 F. Atiya 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: 171 publications — 35th percentile

35% of scientists in this discipline score the same or lower.

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

Amir F. Atiya 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 F. Atiya 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: 48 D-Index — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Overview

Amir F. Atiya is affiliated with Cairo University in Egypt and has contributed extensively to the field of computer science, with a focus on artificial intelligence and related subfields. Their research spans multiple domains, including computer vision and pattern recognition, cognitive neuroscience, management science and operations research, and electrical and electronic engineering.

Atiya's recent scholarly output includes these publications:

  • Epileptic Seizures Detection Using Deep Learning Techniques: A Review, 2021, International Journal of Environmental Research and Public Health
  • A theoretical distribution analysis of synthetic minority oversampling technique (SMOTE) for imbalanced learning, 2023, Machine Learning
  • SpinalNet: Deep Neural Network With Gradual Input, 2022, IEEE Transactions on Artificial Intelligence
  • SpinalNet: Deep Neural Network with Gradual Input, 2020, arXiv (Cornell University)
  • Decision boundary clustering for efficient local SVM, 2021, Applied Soft Computing

Their frequent co-authors include:

  • Samir I. Shaheen
  • Abbas Khosravi
  • Saeid Nahavandi
  • Dina Elreedy
  • Sandra Rizkallah

Atiya has published multiple papers in key venues such as:

  • arXiv (Cornell University)
  • Applied Sciences
  • International Journal of Environmental Research and Public Health
  • Machine Learning
  • IEEE Transactions on Artificial Intelligence

The main field of study for Amir F. Atiya is computer science, particularly with a strong focus on artificial intelligence. Subfields of study further specifying the research interests include artificial intelligence with 18 publications, computer vision and pattern recognition with 4 publications, cognitive neuroscience with 3 publications, management science and operations research with 3 publications, and electrical and electronic engineering with 2 publications.

The core topics explored in their work encompass:

  • EEG and Brain-Computer Interfaces
  • Imbalanced Data Classification Techniques
  • Advanced Text Analysis Techniques
  • Electricity Theft Detection Techniques
  • Text and Document Classification Technologies
  • Advanced Bandit Algorithms Research
  • Consumer Market Behavior and Pricing

This profile provides an overview of Amir F. Atiya's research contributions reflecting a diverse interest in various areas of computer science and artificial intelligence, demonstrated through both collaboration and publication patterns.

Best Publications

  • Bankruptcy prediction for credit risk using neural networks: A survey and new results

    A.F. Atiya

  • An empirical comparison of machine learning models for time series forecasting

    Nesreen K. Ahmed;Amir F. Atiya;Neamat El Gayar;Hisham El-Shishiny

  • Lower Upper Bound Estimation Method for Construction of Neural Network-Based Prediction Intervals

    A Khosravi;S Nahavandi;D Creighton;A F Atiya

  • A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition

    Souhaib Ben Taieb;Gianluca Bontempi;Amir F. Atiya;Antti Sorjamaa

  • Comprehensive Review of Neural Network-Based Prediction Intervals and New Advances

    A. Khosravi;S. Nahavandi;D. Creighton;A. F. Atiya

  • A Comprehensive Analysis of Synthetic Minority Oversampling TEchnique (SMOTE) for Handling Class Imbalance

    Dina Elreedy;Amir F. Atiya

  • New results on recurrent network training: unifying the algorithms and accelerating convergence

    A.F. Atiya;A.G. Parlos

  • Introduction to financial forecasting

    Yaser S. Abu-Mostafa;Amir F. Atiya

  • How delays affect neural dynamics and learning

    P. Baldi;A.F. Atiya

  • A comparison between neural-network forecasting techniques-case study: river flow forecasting

    A.F. Atiya;S.M. El-Shoura;S.I. Shaheen;M.S. El-Sherif

  • ASTD: Arabic Sentiment Tweets Dataset

    Mahmoud Nabil;Mohamed Aly;Amir Atiya

  • Epileptic Seizures Detection Using Deep Learning Techniques: A Review.

    Afshin Shoeibi;Marjane Khodatars;Navid Ghassemi;Navid Ghassemi;Mahboobeh Jafari

  • Application of the recurrent multilayer perceptron in modeling complex process dynamics

    A.G. Parlos;K.T. Chong;A.F. Atiya

  • LABR: A Large Scale Arabic Book Reviews Dataset

    Mohamed Aly;Amir Atiya

  • Multi-step-ahead prediction using dynamic recurrent neural networks

    A. G. Parlos;O. T. Rais;A. F. Atiya

  • Combination of Long Term and Short Term Forecasts, with Application to Tourism Demand Forecasting

    Robert R. Andrawis;Amir F. Atiya;Hisham El-Shishiny

  • Forecast combinations of computational intelligence and linear models for the NN5 time series forecasting competition

    Robert R. Andrawis;Amir F. Atiya;Hisham El-Shishiny

  • A Bias and Variance Analysis for Multistep-Ahead Time Series Forecasting

    Souhaib Ben Taieb;Amir F. Atiya

  • Speed up grid-search for parameter selection of support vector machines

    Hatem A. Fayed;Amir F. Atiya

  • An accelerated learning algorithm for multilayer perceptron networks

    A.G. Parlos;B. Fernandez;A.F. Atiya;J. Muthusami

  • A Novel Template Reduction Approach for the $K$ -Nearest Neighbor Method

    H.A. Fayed;A.F. Atiya

  • LABR: A Large Scale Arabic Book Reviews Dataset

    Mahmoud Nabil;Mohamed Aly;Amir Atiya

Frequent Co-Authors

Malik Magdon-Ismail
Malik Magdon-Ismail Rensselaer Polytechnic Institute
U. Rajendra Acharya
U. Rajendra Acharya University of Southern Queensland
Kil To Chong
Kil To Chong Jeonbuk National University
Abbas Khosravi
Abbas Khosravi Deakin University
Saeid Nahavandi
Saeid Nahavandi Swinburne University of Technology
Carlo S. Regazzoni
Carlo S. Regazzoni University of Genoa
Roohallah Alizadehsani
Roohallah Alizadehsani Deakin University
Dipti Srinivasan
Dipti Srinivasan National University of Singapore
Moloud Abdar
Moloud Abdar Deakin University
Gianluca Bontempi
Gianluca Bontempi Université Libre de Bruxelles

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