World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
4661
World Ranking
12680
National Ranking
382

Manoranjan Paul 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 Manoranjan Paul 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: 283 publications — 70th percentile

70% of scientists in this discipline score the same or lower.

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

Manoranjan Paul 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 Manoranjan Paul 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: 33 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

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

Overview

Manoranjan Paul is affiliated with Charles Sturt University in Australia. Their academic work spans primarily the field of Computer Science, with a focus on several specialized subfields and topics.

The main areas of study include:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Radiology, Nuclear Medicine and Imaging
  • Signal Processing
  • Computational Mechanics

Manoranjan Paul's research covers diverse main topics such as:

  • Advanced Vision and Imaging
  • Video Coding and Compression Technologies
  • COVID-19 diagnosis using AI
  • 3D Shape Modeling and Analysis
  • Computer Graphics and Visualization Techniques
  • Radiomics and Machine Learning in Medical Imaging
  • Quantum Computing Algorithms and Architecture

Their recent notable papers include:

  • COVID-19 Detection Through Transfer Learning Using Multimodal Imaging Data (2020), published in IEEE Access
  • COVID-19 Control by Computer Vision Approaches: A Survey (2020), published in Repository for Publications and Research Data (ETH Zurich)
  • Applications of LiDAR in Agriculture and Future Research Directions (2023), published in Journal of Imaging
  • Vision-Based Robust Lane Detection and Tracking in Challenging Conditions (2023), published in IEEE Access
  • Soil Moisture, Organic Carbon, and Nitrogen Content Prediction with Hyperspectral Data Using Regression Models (2022), published in Sensors

Manoranjan Paul has frequently published in venues such as:

  • arXiv (Cornell University)
  • IEEE Access
  • Sensors
  • Scientific Reports
  • Remote Sensing

Frequent co-authors include:

  • Manzur Murshed
  • Anwaar Ulhaq
  • Tanmoy Debnath
  • Subrata Chakraborty
  • Michael J. Horry

Regarding scholarly contributions in book form, Manoranjan Paul has published works with Springer Science+Business Media, including two editions of Image and Video Technology (2020 and 2023). Additionally, a forthcoming book titled Graphene in Wearable Sensors for Health Monitoring is scheduled for publication by Springer Nature in 2025.

Best Publications

  • COVID-19 Detection through Transfer Learning Using Multimodal Imaging Data

    Michael J. Horry;Subrata Chakraborty;Manoranjan Paul;Anwaar Ulhaq

  • Human detection in surveillance videos and its applications - a review

    Manoranjan Paul;Shah M E Haque;Subrata Chakraborty

  • Just Noticeable Difference for Images With Decomposition Model for Separating Edge and Textured Regions

    Anmin Liu;Weisi Lin;M Paul;Chenwei Deng

  • Deep Learning Models for Retinal Blood Vessels Segmentation: A Review

    Toufique Ahmed Soomro;Ahmed J. Afifi;Lihong Zheng;Shafiullah Soomro

  • Epileptic seizure detection by analyzing EEG signals using different transformation techniques

    Mohammad Zavid Parvez;Manoranjan Paul

  • Impact of ICA-Based Image Enhancement Technique on Retinal Blood Vessels Segmentation

    Toufique Ahmed Soomro;Tariq Mahmood Khan;Mohammad A. U. Khan;Junbin Gao

  • Epileptic Seizure Prediction by Exploiting Spatiotemporal Relationship of EEG Signals Using Phase Correlation

    Mohammad Zavid Parvez;Manoranjan Paul

  • Strided fully convolutional neural network for boosting the sensitivity of retinal blood vessels segmentation

    Toufique Ahmed Soomro;Ahmed J. Afifi;Junbin Gao;Olaf Hellwich

  • Computer Vision For COVID-19 Control: A Survey

    Anwaar Ulhaq;Asim Khan;Douglas P. S. Gomes;Manoranjan Paul

  • Improved Gaussian mixtures for robust object detection by adaptive multi-background generation

    M. Haque;M. Murshed;M. Paul

  • Direct Intermode Selection for H.264 Video Coding Using Phase Correlation

    M Paul;Weisi Lin;Chiew Tong Lau;Bu-sung Lee

  • Strided U-Net Model: Retinal Vessels Segmentation using Dice Loss

    Toufique A. Soomro;Olaf Hellwich;Ahmed J. Afifi;Manoranjan Paul

  • Explore and Model Better I-Frames for Video Coding

    M. Paul;Weisi Lin;Chiew-Tong Lau;Bu-Sung Lee

  • Seizure Prediction Using Undulated Global and Local Features

    Mohammad Zavid Parvez;Manoranjan Paul

  • A Long-Term Reference Frame for Hierarchical B-Picture-Based Video Coding

    Manoranjan Paul;Weisi Lin;Chiew-Tong Lau;Bu Sung Lee

  • On Stable Dynamic Background Generation Technique Using Gaussian Mixture Models for Robust Object Detection

    M. Haque;M. Murshed;M. Paul

  • COVID-19 Control by Computer Vision Approaches: A Survey

    Anwaar Ulhaq;Jannis Born;Asim Khan;Douglas Pinto Sampaio Gomes

  • An Efficient Mode Selection Prior to the Actual Encoding for H.264/AVC Encoder

    M. Paul;M.R. Frater;J.F. Arnold

  • Computerised approaches for the detection of diabetic retinopathy using retinal fundus images: a survey

    Toufique Ahmed Soomro;Junbin Gao;Tariq Khan;Ahmad Fadzil Hani

  • A novel augmented reality (AR) scheme for knee replacement surgery by considering cutting error accuracy.

    Suraj Pokhrel;Abeer Alsadoon;P. W. C. Prasad;Manoranjan Paul

  • Boosting Sensitivity of a Retinal Vessel Segmentation Algorithm with Convolutional Neural Network

    Toufique A. Soomro;Ahmed J. Afifi;Junbin Gao;Olaf Hellwich

Frequent Co-Authors

Junbin Gao
Junbin Gao University of Sydney
Weisi Lin
Weisi Lin Nanyang Technological University
Bu-Sung Lee
Bu-Sung Lee Nanyang Technological University
David Taubman
David Taubman University of New South Wales
Biswajeet Pradhan
Biswajeet Pradhan University of Technology Sydney
Ferdous Sohel
Ferdous Sohel Murdoch University
Guojun Lu
Guojun Lu Federation University Australia
Wei Xiang
Wei Xiang La Trobe University
Shuqun Zhang
Shuqun Zhang University of Missouri
Asim Bhaumik
Asim Bhaumik Indian Association for the Cultivation of Science

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