World's Best Scientists 2026 revealed!
Venkatesan Rajinikanth

Venkatesan Rajinikanth

D-Index & Metrics

Computer Science

D-Index
46
Citations
7646
World Ranking
6905
National Ranking
70

Venkatesan Rajinikanth 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 Venkatesan Rajinikanth 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: 208 publications — 49th percentile

49% of scientists in this discipline score the same or lower.

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

Venkatesan Rajinikanth 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 Venkatesan Rajinikanth 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: 46 D-Index — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

Overview

Venkatesan Rajinikanth is affiliated with Saveetha University in India. Their research spans Medicine, Computer Science, and Engineering, with a significant focus on subfields such as Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Artificial Intelligence, Neurology, and Media Technology.

Their work covers a range of topics, including:

  • COVID-19 diagnosis using AI
  • AI in cancer detection
  • Brain Tumor Detection and Classification
  • Radiomics and Machine Learning in Medical Imaging
  • Advanced Neural Network Applications
  • Digital Imaging for Blood Diseases
  • Medical Image Segmentation Techniques

Among recent publications authored or co-authored by Venkatesan Rajinikanth are:

  • "Deep transfer learning-based automated detection of COVID-19 from lung CT scan slices," 2020, Applied Intelligence
  • "Customized VGG19 Architecture for Pneumonia Detection in Chest X-Rays," 2021, Pattern Recognition Letters
  • "Computer-Aided Gastrointestinal Diseases Analysis From Wireless Capsule Endoscopy: A Framework of Best Features Selection," 2020, IEEE Access
  • "A Customized VGG19 Network with Concatenation of Deep and Handcrafted Features for Brain Tumor Detection," 2020, Applied Sciences
  • "VGG19 Network Assisted Joint Segmentation and Classification of Lung Nodules in CT Images," 2021, Diagnostics

Frequent collaborators include:

  • Seifedine Kadry
  • Nilanjan Dey
  • Rubén González Crespo
  • N. Sri Madhava Raja
  • Suresh Chandra Satapathy

Their publications are commonly found in venues such as:

  • Procedia Computer Science
  • 2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT)
  • AIP conference proceedings
  • 2020 International Conference on System, Computation, Automation and Networking (ICSCAN)
  • arXiv (Cornell University)

Best Publications

  • Deep-learning framework to detect lung abnormality - A study with chest X-Ray and lung CT scan images

    Abhir Bhandary;G. Ananth Prabhu;V. Rajinikanth;K. Palani Thanaraj

  • Deep transfer learning-based automated detection of COVID-19 from lung CT scan slices

    Sakshi Ahuja;Bijaya Ketan Panigrahi;Nilanjan Dey;Venkatesan Rajinikanth

  • Automated Detection of Alzheimer’s Disease Using Brain MRI Images– A Study with Various Feature Extraction Techniques

    U. Rajendra Acharya;U. Rajendra Acharya;U. Rajendra Acharya;Steven Lawrence Fernandes;Joel En WeiKoh;Edward J. Ciaccio

  • Entropy based segmentation of tumor from brain MR images a study with teaching learning based optimization

    V. Rajinikanth;Suresh Chandra Satapathy;Steven Lawrence Fernandes;S. Nachiappan

  • Multi-level image thresholding using Otsu and chaotic bat algorithm

    Suresh Chandra Satapathy;N. Sri Madhava Raja;V. Rajinikanth;Amira S. Ashour

  • Automated detection of schizophrenia using nonlinear signal processing methods.

    V. Jahmunah;Shu Lih Oh;V. Rajinikanth;Edward J. Ciaccio

  • Customized VGG19 Architecture for Pneumonia Detection in Chest X-Rays

    Nilanjan Dey;Yu-Dong Zhang;V. Rajinikanth;R. Pugalenthi

  • Otsu based optimal multilevel image thresholding using firefly algorithm

    N. Sri Madhava Raja;V. Rajinikanth;K. Latha

  • Contrast enhanced medical MRI evaluation using Tsallis entropy and region growing segmentation

    N. Sri Madhava Raja;S. L. Fernandes;Nilanjan Dey;Suresh Chandra Satapathy

  • Social Group Optimization Supported Segmentation and Evaluation of Skin Melanoma Images

    Nilanjan Dey;Venkatesan Rajinikanth;Amira S. Ashour;João Manuel R. S. Tavares

  • RGB Histogram Based Color Image Segmentation Using Firefly Algorithm

    V. Rajinikanth;M.S. Couceiro

  • Computer-Aided Gastrointestinal Diseases Analysis From Wireless Capsule Endoscopy: A Framework of Best Features Selection

    Muhammad Attique Khan;Seifedine Nimer Kadry;Majed Alhaisoni;Yunyoung Nam

  • A customized VGG19 network with concatenation of deep and handcrafted features for brain tumor detection

    Venkatesan Rajinikanth;Alex Noel Joseph Raj;Krishnan Palani Thanaraj;Ganesh R. Naik

  • Segmentation of Ischemic Stroke Lesion in Brain MRI Based on Social Group Optimization and Fuzzy-Tsallis Entropy

    V. Rajinikanth;Suresh Chandra Satapathy

  • VGG19 Network Assisted Joint Segmentation and Classification of Lung Nodules in CT Images

    Muhammad Attique Khan;Venkatesan Rajinikanth;Suresh Chandra Satapathy;David Taniar

  • Harmony-Search and Otsu based System for Coronavirus Disease (COVID-19) Detection using Lung CT Scan Images.

    V. Rajinikanth;Nilanjan Dey;Alex Noel Joseph Raj;Aboul Ella Hassanien

  • Social Group Optimization-Assisted Kapur's Entropy and Morphological Segmentation for Automated Detection of COVID-19 Infection from Computed Tomography Images.

    Nilanjan Dey;V. Rajinikanth;Simon James Fong;Simon James Fong;M. Shamim Kaiser

  • A reliable framework for accurate brain image examination and treatment planning based on early diagnosis support for clinicians

    Steven Lawrence Fernandes;U. John Tanik;V. Rajinikanth;K. Arvind Karthik

  • Firefly Algorithm Assisted Segmentation of Tumor from Brain MRI using Tsallis Function and Markov Random Field

    V Rajinikanth;N Sri Madhava Raja;K Kamalanand

  • Segmentation and Analysis of Brain Tumor Using Tsallis Entropy and Regularised Level Set

    V. Rajinikanth;Steven Lawrence Fernandes;Bharath Bhushan;Harisha

Frequent Co-Authors

Nilanjan Dey
Nilanjan Dey Techno International New Town
Seifedine Kadry
Seifedine Kadry Lebanese American University
U. Rajendra Acharya
U. Rajendra Acharya University of Southern Queensland
Steven Lawrence Fernandes
Steven Lawrence Fernandes Karunya University
David Taniar
David Taniar Monash University
Amira S. Ashour
Amira S. Ashour Tanta University
João Manuel R. S. Tavares
João Manuel R. S. Tavares University of Porto
Yudong Zhang
Yudong Zhang University of Leicester
Yunyoung Nam
Yunyoung Nam Soonchunhyang University

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