World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
7126
World Ranking
10135
National Ranking
4272

Hamid R. Arabnia 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 Hamid R. Arabnia 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: 298 publications — 73rd percentile

73% of scientists in this discipline score the same or lower.

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

Hamid R. Arabnia 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 Hamid R. Arabnia 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

Hamid R. Arabnia is affiliated with the University of Georgia in the United States. Their main field of study is Computer Science, with a focus on various subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Marketing, and Information Systems.

Their research covers a range of topics, notably Customer Churn and Segmentation, Multimodal Machine Learning Applications, COVID-19 Diagnosis Using AI, Domain Adaptation and Few-Shot Learning, IoT and Edge/Fog Computing, Human Pose and Action Recognition, and Speech Recognition and Synthesis.

Frequent coauthors in their work include Khaled Rasheed, Mehdi Imani, Farid Ghareh Mohammadi, Farzan Shenavarmasouleh, and Thiab R. Taha.

Arabnia's publishing record shows repeated contributions to several venues, with a strong presence in arXiv (Cornell University), Preprints.org, International Journal of Communication Systems, Technologies, and the 2021 International Conference on Computational Science and Computational Intelligence (CSCI).

Recent papers authored or coauthored by Arabnia include:

  • A Brief Review of Domain Adaptation, 2021, Transactions on Computational Science and Computational Intelligence
  • A Review of Deep Transfer Learning and Recent Advancements, 2023, Technologies
  • Improving Cyberbullying Detection Using Twitter Users' Psychological Features and Machine Learning, 2020, Computers & Security
  • Automatic Image and Video Caption Generation With Deep Learning: A Concise Review and Algorithmic Overlap, 2020, IEEE Access
  • Comprehensive Analysis of Random Forest and XGBoost Performance with SMOTE, ADASYN, and GNUS Under Varying Imbalance Levels, 2025, Technologies

Arabnia has published multiple books with publishers such as Springer International Publishing and Springer Science+Business Media. Notable book titles include Principles of Data Science (2020), Advances in Artificial Intelligence and Applied Cognitive Computing (2021), Advances in Security, Networks, and Internet of Things (2021), Advances in Computer Vision and Computational Biology (2021), Advances in Parallel & Distributed Processing, and Applications (2021), Advances in Software Engineering, Education, and e-Learning (2021), and Parallel and Distributed Computing, Applications and Technologies (2022).

Best Publications

  • A Survey of Face Recognition Techniques

    Rabia Jafri;Hamid R. Arabnia

  • A Review of Deep Transfer Learning and Recent Advancements

    Unknown

  • A Brief Review of Domain Adaptation

    Abolfazl Farahani;Sahar Voghoei;Khaled Rasheed;Hamid R. Arabnia

  • A comprehensive investigation and comparison of Machine Learning Techniques in the domain of heart disease

    Seyedamin Pouriyeh;Sara Vahid;Giovanna Sannino;Giuseppe De Pietro

  • Internet of Things for Current COVID-19 and Future Pandemics: an Exploratory Study.

    Mohammad Nasajpour;Seyedamin Pouriyeh;Reza M. Parizi;Mohsen Dorodchi

  • Improving cyberbullying detection using Twitter users’ psychological features and machine learning

    Vimala Balakrishnan;Shahzaib Khan;Hamid R. Arabnia

  • Cyberbullying detection on twitter using Big Five and Dark Triad features

    Vimala Balakrishnan;Shahzaib Khan;Terence Fernandez;Hamid R. Arabnia

  • Apple classification based on surface bruises using image processing and neural networks

    M. A. Shahin;E. W. Tollner;R. W. McClendon;H. R. Arabnia

  • Computer vision-based object recognition for the visually impaired in an indoors environment: a survey

    Rabia Jafri;Syed Abid Ali;Hamid R. Arabnia;Shameem Fatima

  • Parallel Edge-Region-Based Segmentation Algorithm Targeted at Reconfigurable MultiRing Network

    M. Arif Wani;Hamid R. Arabnia

  • A Time-Area-Power Efficient Multiplier and Square Architecture Based on Ancient Indian Vedic Mathematics.

    Himanshu Thapliyal;Hamid R. Arabnia

  • Software Tools and Algorithms for Biological Systems

    Hamid R. Arabnia;Quoc-Nam Tran

  • 2K09 and thereafter : the coming era of integrative bioinformatics, systems biology and intelligent computing for functional genomics and personalized medicine research

    Jack Y. Yang;Jack Y. Yang;Jack Y. Yang;Andrzej Niemierko;Ruzena Bajcsy;Dong Xu

  • The REFINE multiprocessor—theoretical properties and algorithms

    Suchendra M. Bhandarkar;Hamid R. Arabnia

  • The Hough transform on a reconfigurable multi-ring network

    Suchendra M. Bhandarkar;Hamid R. Arabnia

  • Parallel stereocorrelation on a reconfigurable multi-ring network

    Hamid R. Arabnia;Suchendra M. Bhandarkar

  • A parallel algorithm for the arbitrary rotation of digitized images using process-and-data-decomposition approach

    Hamid R. Arabnia

  • Automatic Image and Video Caption Generation With Deep Learning: A Concise Review and Algorithmic Overlap

    Soheyla Amirian;Khaled Rasheed;Thiab R. Taha;Hamid R. Arabnia

  • Visual and Infrared Sensor Data-Based Obstacle Detection for the Visually Impaired Using the Google Project Tango Tablet Development Kit and the Unity Engine

    Rabia Jafri;Rodrigo Louzada Campos;Syed Abid Ali;Hamid R. Arabnia

  • Application of Big Data for National Security: A Practitioner’s Guide to Emerging Technologies

    Babak Akhgar;Gregory B. Saathoff;Hamid R. Arabnia;Richard Hill

  • Identification of genes and pathways involved in kidney renal clear cell carcinoma

    William Yang;Kenji Yoshigoe;Xiang Qin;Jun S Liu

  • Proceedings of the 2010 International Conference on Data Mining

    Robert Stahlbock;Sven F. Crone;Mahmoud Abou-Nasr;Hamid R. Arabnia

  • 2K09 and thereafter : the coming era of integrative bioinformatics, systems biology and intelligent computing for functional genomics and personalized medicine research

    Jack Y. Yang;Andrzej Niemierko;Ruzena Bajcsy;Dong Xu

Frequent Co-Authors

Himanshu Thapliyal
Himanshu Thapliyal University of Tennessee at Knoxville
Kuan-Ching Li
Kuan-Ching Li Providence University
Dong Xu
Dong Xu University of Missouri
A. Keith Dunker
A. Keith Dunker Indiana University
Jun S. Liu
Jun S. Liu Harvard University
Weida Tong
Weida Tong National Center for Toxicological Research
Xiang Qin
Xiang Qin Baylor College of Medicine
Yunlong Liu
Yunlong Liu Indiana University
Layne T. Watson
Layne T. Watson Virginia Tech
Jong Hyuk Park
Jong Hyuk Park Seoul National University of Science and Technology

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