World's Best Scientists 2026 revealed!
Roohallah Alizadehsani

Roohallah Alizadehsani

Award Badge
Rising Stars
2025

D-Index & Metrics

Rising Stars

D-Index
45
Citations
6899
World Ranking
456
National Ranking
30

Computer Science

D-Index
49
Citations
8204
World Ranking
5953
National Ranking
182

Roohallah Alizadehsani 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 Roohallah Alizadehsani 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: 162 publications — 32nd percentile

32% of scientists in this discipline score the same or lower.

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

Roohallah Alizadehsani 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 Roohallah Alizadehsani 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: 49 D-Index — 60th percentile

60% 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

  • 2025 - Research.com Rising Stars Award

Overview

Roohallah Alizadehsani is a researcher affiliated with Deakin University in Australia. Their work spans various aspects of medicine and computer science, with a substantial focus on artificial intelligence and its application in healthcare.

Their main fields of study include:

  • Medicine
  • Computer Science

Within these fields, their subfields of expertise comprise:

  • Artificial Intelligence
  • Radiology, Nuclear Medicine and Imaging
  • Computer Vision and Pattern Recognition
  • Cardiology and Cardiovascular Medicine
  • Cognitive Neuroscience

Roohallah Alizadehsani's primary research topics cover:

  • COVID-19 diagnosis using AI
  • Artificial Intelligence in Healthcare
  • Machine Learning in Healthcare
  • EEG and Brain-Computer Interfaces
  • Anomaly Detection Techniques and Applications
  • AI in cancer detection
  • Brain Tumor Detection and Classification

Several recent papers showcase the scope and focus of their research:

  • Epileptic Seizures Detection Using Deep Learning Techniques: A Review (2021), International Journal of Environmental Research and Public Health
  • Application of artificial intelligence in wearable devices: Opportunities and challenges (2021), Computer Methods and Programs in Biomedicine
  • Deep Learning for Neuroimaging-based Diagnosis and Rehabilitation of Autism Spectrum Disorder: A Review (2020), arXiv (Cornell University)
  • A review of Explainable Artificial Intelligence in healthcare (2024), Computers & Electrical Engineering
  • Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review (2021), Computers in Biology and Medicine

Frequent collaborators include:

  • U. Rajendra Acharya
  • Abbas Khosravi
  • Saeid Nahavandi
  • Afshin Shoeibi
  • Sadiq Hussain

The venues where Roohallah Alizadehsani publishes most frequently are:

  • arXiv (Cornell University)
  • IEEE Access
  • Computers in Biology and Medicine
  • Scientific Reports
  • Research Square (Research Square)

Best Publications

  • Computer aided decision making for heart disease detection using hybrid neural network-Genetic algorithm

    Zeinab Arabasadi;Roohallah Alizadehsani;Mohamad Roshanzamir;Hossein Moosaei

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

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

  • A data mining approach for diagnosis of coronary artery disease

    Roohallah Alizadehsani;Jafar Habibi;Mohammad Javad Hosseini;Hoda Mashayekhi

  • Application of artificial intelligence in wearable devices: Opportunities and challenges.

    Darius Nahavandi;Roohallah Alizadehsani;Abbas Khosravi;U Rajendra Acharya

  • Machine learning-based coronary artery disease diagnosis: A comprehensive review.

    Roohallah Alizadehsani;Moloud Abdar;Mohamad Roshanzamir;Abbas Khosravi

  • Deep learning for neuroimaging-based diagnosis and rehabilitation of Autism Spectrum Disorder: A review.

    Marjane Khodatars;Afshin Shoeibi;Afshin Shoeibi;Delaram Sadeghi;Navid Ghaasemi

  • An expert system for selecting wart treatment method

    Fahime Khozeimeh;Roohallah Alizadehsani;Mohamad Roshanzamir;Abbas Khosravi

  • Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review

    Afshin Shoeibi;Marjane Khodatars;Roohallah Alizadehsani;Navid Ghassemi

  • Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review.

    Afshin Shoeibi;Marjane Khodatars;Mahboobeh Jafari;Parisa Moridian

  • Automatic Diagnosis of Schizophrenia in EEG Signals Using CNN-LSTM Models

    Afshin Shoeibi;Delaram Sadeghi;Parisa Moridian;Navid Ghassemi

  • The internet of medical things and artificial intelligence: trends, challenges, and opportunities

    Unknown

  • Coronary artery disease detection using computational intelligence methods

    Roohallah Alizadehsani;Mohammad Hossein Zangooei;Mohammad Javad Hosseini;Jafar Habibi

  • An Overview on Artificial Intelligence Techniques for Diagnosis of Schizophrenia Based on Magnetic Resonance Imaging Modalities: Methods, Challenges, and Future Works.

    Delaram Sadeghi;Afshin Shoeibi;Navid Ghassemi;Parisa Moridian

  • Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images.

    Danial Sharifrazi;Roohallah Alizadehsani;Mohamad Roshanzamir;Javad Hassannataj Joloudari

  • A comprehensive comparison of handcrafted features and convolutional autoencoders for epileptic seizures detection in EEG signals

    Afshin Shoeibi;Navid Ghassemi;Roohallah Alizadehsani;Modjtaba Rouhani

  • Time series forecasting of new cases and new deaths rate for COVID-19 using deep learning methods.

    Nooshin Ayoobi;Danial Sharifrazi;Roohallah Alizadehsani;Afshin Shoeibi;Afshin Shoeibi

  • Detection of Epileptic Seizures on EEG Signals Using ANFIS Classifier, Autoencoders and Fuzzy Entropies.

    Afshin Shoeibi;Navid Ghassemi;Marjane Khodatars;Parisa Moridian

  • Non-invasive detection of coronary artery disease in high-risk patients based on the stenosis prediction of separate coronary arteries

    Roohallah Alizadehsani;Mohammad Javad Hosseini;Abbas Khosravi;Fahime Khozeimeh

  • Association between work-related features and coronary artery disease: A heterogeneous hybrid feature selection integrated with balancing approach

    Elham Nasarian;Moloud Abdar;Mohammad Amin Fahami;Roohallah Alizadehsani

  • Robust Adaptive Control Scheme for Teleoperation Systems With Delay and Uncertainties

    Parham M. Kebria;Abbas Khosravi;Saeid Nahavandi;Peng Shi

  • Combining a convolutional neural network with autoencoders to predict the survival chance of COVID-19 patients.

    Fahime Khozeimeh;Danial Sharifrazi;Navid Hoseini Izadi;Javad Hassannataj Joloudari

  • Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991–2020)

    Roohallah Alizadehsani;Mohamad Roshanzamir;Sadiq Hussain;Abbas Khosravi

  • Deep Learning for Neuroimaging-based Diagnosis and Rehabilitation of Autism Spectrum Disorder: A Review

    Marjane Khodatars;Afshin Shoeibi;Navid Ghassemi;Mahboobeh Jafari

Frequent Co-Authors

Saeid Nahavandi
Saeid Nahavandi Swinburne University of Technology
Abbas Khosravi
Abbas Khosravi Deakin University
U. Rajendra Acharya
U. Rajendra Acharya University of Southern Queensland
Juan Manuel Górriz
Juan Manuel Górriz University of Granada
Moloud Abdar
Moloud Abdar Deakin University
Amir Mosavi
Amir Mosavi Óbuda University
Sheikh Mohammed Shariful Islam
Sheikh Mohammed Shariful Islam Texas Tech University
Amir F. Atiya
Amir F. Atiya Cairo University
Colette M. McKay
Colette M. McKay Bionics Institute
Dipti Srinivasan
Dipti Srinivasan National University of Singapore

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