World's Best Scientists 2026 revealed!
Mohammad H. Mahoor

Mohammad H. Mahoor

D-Index & Metrics

Computer Science

D-Index
38
Citations
8603
World Ranking
10037
National Ranking
4229

Mohammad H. Mahoor 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 Mohammad H. Mahoor 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: 158 publications — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Mohammad H. Mahoor 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 Mohammad H. Mahoor 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: 38 D-Index — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Overview

Mohammad H. Mahoor is affiliated with the University of Denver in the United States and specializes in the field of Computer Science with a focus on several subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Cognitive Neuroscience, Electrical and Electronic Engineering, and Biomedical Engineering.

The scientist's research contributions cover a range of topics such as:

  • Face recognition and analysis
  • Dementia and Cognitive Impairment Research
  • Emotion and Mood Recognition
  • Face and Expression Recognition
  • Indoor and Outdoor Localization Technologies
  • Autism Spectrum Disorder Research
  • Social Robot Interaction and Human-Robot Interaction (HRI)

Recent publications by Mohammad H. Mahoor include the following papers:

  • "Ad-Corre: Adaptive Correlation-Based Loss for Facial Expression Recognition in the Wild," 2022, IEEE Access
  • "Artificial Emotional Intelligence in Socially Assistive Robots for Older Adults: A Pilot Study," 2022, IEEE Transactions on Affective Computing
  • "Deep learning methods for fingerprint-based indoor positioning: a review," 2020, Journal of Location Based Services
  • "Deep Learning in Gait Parameter Prediction for OA and TKA Patients Wearing IMU Sensors," 2020, Sensors
  • "LFP-Net: A deep learning framework to recognize human behavioral activities using brain STN-LFP signals," 2020, Journal of Neuroscience Methods

Frequent co-authors collaborating with Mohammad H. Mahoor include:

  • Ali Pourramezan Fard
  • Hiroko H. Dodge
  • Muath Alsuhaibani
  • Jian Sun
  • Timothy D. Sweeny

The scientist has published extensively in multiple venues, with repeated contributions to these key journals and platforms:

  • arXiv (Cornell University) with 16 publications
  • IEEE Access with 3 publications
  • IEEE Transactions on Affective Computing with 3 publications
  • Sensors with 2 publications
  • Frontiers in Robotics and AI with 2 publications

Best Publications

  • AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild

    Ali Mollahosseini;Behzad Hasani;Mohammad H. Mahoor

  • Going deeper in facial expression recognition using deep neural networks

    Ali Mollahosseini;David Chan;Mohammad H. Mahoor

  • DISFA: A Spontaneous Facial Action Intensity Database

    S. M. Mavadati;M. H. Mahoor;K. Bartlett;P. Trinh

  • AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild

    Ali Mollahosseini;Behzad Hasani;Mohammad H. Mahoor

  • Facial Expression Recognition Using Enhanced Deep 3D Convolutional Neural Networks

    Behzad Hasani;Mohammad H. Mahoor

  • Nonverbal social withdrawal in depression: Evidence from manual and automatic analyses

    Jeffrey M. Girard;Jeffrey F. Cohn;Jeffrey F. Cohn;Mohammad H. Mahoor;S. Mohammad Mavadati

  • Social risk and depression: Evidence from manual and automatic facial expression analysis

    Jeffrey M. Girard;Jeffrey F. Cohn;Mohammad H. Mahoor;Seyedmohammad Mavadati

  • Fast image blending using watersheds and graph cuts

    Nuno Gracias;Mohammad Mahoor;Shahriar Negahdaripour;Arthur Gleason

  • Ad-Corre: Adaptive Correlation-Based Loss for Facial Expression Recognition in the Wild

    Unknown

  • Human activity recognition using multi-features and multiple kernel learning

    Salah Althloothi;Mohammad H. Mahoor;Xiao Zhang;Richard M. Voyles

  • Automated Measurement of Facial Expression in Infant–Mother Interaction: A Pilot Study

    Daniel S. Messinger;Mohammad H. Mahoor;Sy Miin Chow;Jeffrey F. Cohn

  • A framework for automated measurement of the intensity of non-posed Facial Action Units

    Mohammad H Mahoor;Steven Cadavid;Daniel S Messinger;Jeffrey F Cohn

  • Classification and numbering of teeth in dental bitewing images

    Mohammad H. Mahoor;Mohamed Abdel-Mottaleb

  • PCA-based dictionary building for accurate facial expression recognition via sparse representation

    Mohammad Reza Mohammadi;Emad Fatemizadeh;Mohammad H. Mahoor

  • The eyes have it: making positive expressions more positive and negative expressions more negative.

    Daniel S. Messinger;Whitney I. Mattson;Mohammad H. Mahoor;Jeffrey F. Cohn

  • Facial action unit recognition with sparse representation

    Mohammad H. Mahoor;Mu Zhou;Kevin L. Veon;S. Mohammad Mavadati

  • Face recognition based on 3D ridge images obtained from range data

    Mohammad H. Mahoor;Mohamed Abdel-Mottaleb

  • Development of a body joint angle measurement system using IMU sensors

    Saba Bakhshi;Mohammad H. Mahoor;Bradley S. Davidson

  • Microscopic medical image classification framework via deep learning and shearlet transform.

    Hadi Rezaeilouyeh;Ali Mollahosseini;Mohammad H. Mahoor

  • Facial Expression Recognition from World Wild Web

    Ali Mollahosseini;Behzad Hassani;Michelle J. Salvador;Hojjat Abdollahi

  • Spatio-Temporal Facial Expression Recognition Using Convolutional Neural Networks and Conditional Random Fields

    Behzad Hasani;Mohammad H. Mahoor

  • Extended DISFA Dataset: Investigating Posed and Spontaneous Facial Expressions

    Mohammad Mavadati;Peyten Sanger;Mohammad H. Mahoor

  • A pilot study on using an intelligent life-like robot as a companion for elderly individuals with dementia and depression

    Hojjat Abdollahi;Ali Mollahosseini;Josh T. Lane;Mohammad H. Mahoor

Frequent Co-Authors

Mohamed Abdel-Mottaleb
Mohamed Abdel-Mottaleb University of Miami
Jeffrey F. Cohn
Jeffrey F. Cohn University of Pittsburgh
Daniel S. Messinger
Daniel S. Messinger University of Miami
Ronald A. Cole
Ronald A. Cole Boulder Language Technologies (United States)
Qiang Ji
Qiang Ji Rensselaer Polytechnic Institute
Nader Pouratian
Nader Pouratian University of California, Los Angeles
Zachary Warren
Zachary Warren Vanderbilt University Medical Center
John D. Haltigan
John D. Haltigan University of Toronto
Lorraine E. Bahrick
Lorraine E. Bahrick Florida International University
Howard Jay Chizeck
Howard Jay Chizeck University of Washington

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