World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
7110
World Ranking
10137
National Ranking
129

S. Vinitha Sree 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 S. Vinitha Sree 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: 56 publications — 1st percentile

1% of scientists in this discipline score the same or lower.

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

S. Vinitha Sree 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 S. Vinitha Sree 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

S. Vinitha Sree is affiliated with Nanyang Technological University in Singapore. Their research primarily focuses on Medicine, with specific attention to subfields such as Radiology, Nuclear Medicine and Imaging, Physiology, Epidemiology, Artificial Intelligence, and Rehabilitation.

The scientist has contributed to research in various topics including:

  • Infrared Thermography in Medicine
  • Optical Imaging and Spectroscopy Techniques
  • Thermoregulation and physiological responses
  • Acute Ischemic Stroke Management
  • Machine Learning in Healthcare
  • Stroke Rehabilitation and Recovery

S. Vinitha Sree has published in journals such as Computer Methods and Programs in Biomedicine and Bioengineering. The recent papers include:

  • "An introduction to the Cyrcadia Breast Monitor: A wearable breast health monitoring device", 2020, Computer Methods and Programs in Biomedicine
  • "Corrigendum to 'An Introduction to the Cyrcadia Breast Monitor: A Wearable Breast Health Monitoring Device'[Computer Methods and Programs in Biomedicine 197: 105758]", 2021, Computer Methods and Programs in Biomedicine
  • "Automated Risk Prediction of Post-Stroke Adverse Mental Outcomes Using Deep Learning Methods and Sequential Data", 2025, Bioengineering

The research aligns closely with the integration of technology and healthcare, particularly in the development of wearable monitoring devices and the application of deep learning for medical risk prediction.

Frequent collaborators include U. Rajendra Acharya, Rob Royea, Kevin J. Buckman, Matt Benardis, and J K Holmes, with multiple joint publications reflecting ongoing research partnerships.

Best Publications

  • Automated EEG analysis of epilepsy: A review

    U. Rajendra Acharya;S. Vinitha Sree;G. Swapna;Roshan Joy Martis

  • Automated diagnosis of epileptic EEG using entropies

    U. Rajendra Acharya;Filippo Molinari;S. Vinitha Sree;Subhagata Chattopadhyay

  • Thermography Based Breast Cancer Detection Using Texture Features and Support Vector Machine

    U. Rajendra Acharya;E. Y. Ng;Jen-Hong Tan;S. Vinitha Sree

  • Automated Diagnosis of Glaucoma Using Texture and Higher Order Spectra Features

    U Rajendra Acharya;Sumeet Dua;Xian Du;S Vinitha Sree

  • Application of non-linear and wavelet based features for the automated identification of epileptic EEG signals

    U. Rajendra Acharya;S. Vinitha Sree;Peng Chuan Alvin Ang;Ratna Yanti

  • Application of recurrence quantification analysis for the automated identification of epileptic EEG signals.

    U Rajendra Acharya;S Vinitha Sree;Subhagata Chattopadhyay;Wenwei Yu

  • Wavelet-Based Energy Features for Glaucomatous Image Classification

    Unknown

  • Automated diagnosis of Coronary Artery Disease affected patients using LDA, PCA, ICA and Discrete Wavelet Transform

    Donna Giri;U. Rajendra Acharya;Roshan Joy Martis;S. Vinitha Sree

  • Use of principal component analysis for automatic classification of epileptic EEG activities in wavelet framework

    U. Rajendra Acharya;S. Vinitha Sree;Ang Peng Chuan Alvin;Jasjit S. Suri

  • Automatic detection of epileptic EEG signals using higher order cumulant features.

    U Rajendra Acharya;S Vinitha Sree;Jasjit S Suri

  • An Integrated Index for the Identification of Diabetic Retinopathy Stages Using Texture Parameters

    U. Rajendra Acharya;E. Y. Ng;Jen-Hong Tan;S. Vinitha Sree

  • Automated diagnosis of normal and alcoholic EEG signals.

    U. Rajendra Acharya;S. Vinitha Sree;Subhagata Chattopadhyay;Jasjit S. Suri

  • Cost-Effective and Non-Invasive Automated Benign & Malignant Thyroid Lesion Classification in 3D Contrast-Enhanced Ultrasound Using Combination of Wavelets and Textures: A Class of ThyroScan™ Algorithms

    U. R. Acharya;O. Faust;S. V. Sree;Filippo Molinari

  • ThyroScreen system: High resolution ultrasound thyroid image characterization into benign and malignant classes using novel combination of texture and discrete wavelet transform

    U. Rajendra Acharya;Oliver Faust;S Vinitha Sree;Filippo Molinari

  • Non-invasive automated 3D thyroid lesion classification in ultrasound: A class of ThyroScan™ systems

    U. Rajendra Acharya;S. Vinitha Sree;M. Muthu Rama Krishnan;Filippo Molinari

  • Atherosclerotic risk stratification strategy for carotid arteries using texture-based features.

    U. Rajendra Acharya;S. Vinitha Sree;M. Muthu Rama Krishnan;Filippo Molinari

  • Symptomatic vs. Asymptomatic Plaque Classification in Carotid Ultrasound

    Rajendra U. Acharya;Oliver Faust;A. P. Alvin;S. Vinitha Sree

  • Sudden cardiac death (SCD) prediction based on nonlinear heart rate variability features and SCD index

    Hamido Fujita;U. Rajendra Acharya;Vidya K. Sudarshan;Dhanjoo N. Ghista

  • Data mining framework for fatty liver disease classification in ultrasound: a hybrid feature extraction paradigm.

    U. Rajendra Acharya;S. Vinitha Sree;Ricardo Ribeiro;Ganapathy Krishnamurthi

  • Atherosclerotic plaque tissue characterization in 2D ultrasound longitudinal carotid scans for automated classification: a paradigm for stroke risk assessment

    U. Rajendra Acharya;Muthu Rama Krishnan Mookiah;S. Vinitha Sree;David Afonso

  • Ultrasound-based tissue characterization and classification of fatty liver disease

    U. Rajendra Acharya;Oliver Faust;Filippo Molinari;S. Vinitha Sree

Frequent Co-Authors

U. Rajendra Acharya
U. Rajendra Acharya University of Southern Queensland
Jasjit S. Suri
Jasjit S. Suri University of Idaho
Filippo Molinari
Filippo Molinari Polytechnic University of Turin
Oliver Faust
Oliver Faust Sheffield Hallam University
Eddie Y. K. Ng
Eddie Y. K. Ng Nanyang Technological University
Andrew N. Nicolaides
Andrew N. Nicolaides Imperial College London
Teik-Cheng Lim
Teik-Cheng Lim Singapore University of Social Sciences
Jen Hong Tan
Jen Hong Tan Singapore General Hospital
Rangaraj M. Rangayyan
Rangaraj M. Rangayyan University of Calgary
Joel En Wei Koh
Joel En Wei Koh Ngee Ann Polytechnic

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online programs can open doors for students who want a flexible route into Computer Science and related fields. For those concerned about affordability, many most affordable online colleges offer respected degrees at lower costs, making higher education more accessible than ever.

Academic background is no longer the barrier it once was. There are several online colleges that accept low gpa, allowing more students to pursue quality education and enhance their credentials, regardless of past academic performance.

If you’re looking to fast-track your studies, check out computer science degree online options that offer accelerated programs designed to help you graduate sooner and enter the workforce quickly.

Computer science isn’t the only field with strong online pathways—fields such as environmental science are also growing. Interested in green careers? Discover some of the diverse jobs for environmental science majors and how you can prepare for these roles with a flexible online degree.

Best Scientists Citing S. Vinitha Sree

Trending Scientists

Recently Published Articles