World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
48
Citations
9416
World Ranking
6174
National Ranking
243

Sridhar Krishnan 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 Sridhar Krishnan 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: 347 publications — 81st percentile

81% of scientists in this discipline score the same or lower.

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

Sridhar Krishnan 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 Sridhar Krishnan 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: 48 D-Index — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Overview

Sridhar Krishnan is affiliated with Toronto Metropolitan University in Canada. Their research spans multiple fields, primarily Medicine and Computer Science, with significant contributions across various subfields and topics related to biomedical signal processing and neuroengineering.

Their research focuses on multiple main fields:

  • Medicine
  • Computer Science

They have published extensively in several subfields, including:

  • Cardiology and Cardiovascular Medicine
  • Signal Processing
  • Biomedical Engineering
  • Cognitive Neuroscience
  • Neurology

Their work covers diverse topics such as:

  • ECG Monitoring and Analysis
  • EEG and Brain-Computer Interfaces
  • Non-Invasive Vital Sign Monitoring
  • Speech and Audio Processing
  • Music and Audio Processing
  • Heart Rate Variability and Autonomic Control
  • Blind Source Separation Techniques

Sridhar Krishnan's recent papers include:

  • "Trends in Heart-Rate Variability Signal Analysis" (2021), published in Frontiers in Digital Health
  • "ECG signal feature extraction trends in methods and applications" (2023), published in BioMedical Engineering OnLine
  • "Trends in EEG signal feature extraction applications" (2023), published in Frontiers in Artificial Intelligence
  • "A Low-Cost Lower-Limb Brain-Machine Interface Triggered by Pedaling Motor Imagery for Post-Stroke Patients Rehabilitation" (2020), published in IEEE Transactions on Neural Systems and Rehabilitation Engineering
  • "Trends in human activity recognition with focus on machine learning and power requirements" (2021), published in Machine Learning with Applications

They frequently collaborate with several coauthors, including:

  • Alice Rueda
  • Venkat Bhat
  • Teodiano Bastos-Filho
  • Binh Nguyen
  • Michael Nigro

Key venues where their work has appeared multiple times are:

  • Zenodo (CERN European Organization for Nuclear Research)
  • Sensors
  • Frontiers in Digital Health
  • Machine Learning with Applications
  • Frontiers in Signal Processing

They have contributed to book publications with Springer Science+Business Media, including two editions of Advances in Signal Processing and Intelligent Recognition Systems published in 2020 and 2021.

Best Publications

  • Trends in audio signal feature extraction methods

    Garima Sharma;Kartikeyan Umapathy;Sridhar Krishnan

  • A comprehensive framework for predictive modeling of negative bias temperature instability

    S. Chakravarthi;A. Krishnan;V. Reddy;C.F. Machala

  • Impact of negative bias temperature instability on digital circuit reliability

    Vijay Reddy;Anand T. Krishnan;Andrew Marshall;John Rodriguez

  • Impact of negative bias temperature instability on digital circuit reliability

    V. Reddy;A.T. Krishnan;A. Marshall;J. Rodriguez

  • LibD3C: Ensemble classifiers with a clustering and dynamic selection strategy

    Chen Lin;Wenqiang Chen;Cheng Qiu;Yunfeng Wu

  • Smart metering and functionalities of smart meters in smart grid - a review

    Gouri R. Barai;Sridhar Krishnan;Bala Venkatesh

  • Phase Mapping of Cardiac Fibrillation

    Karthikeyan Umapathy;Krishnakumar Nair;Stephane Masse;Sridhar Krishnan

  • Real-Time Classification of Forearm Electromyographic Signals Corresponding to User-Selected Intentional Movements for Multifunction Prosthesis Control

    K. Momen;S. Krishnan;T. Chau

  • Discrimination of pathological voices using a time-frequency approach

    K. Umapathy;S. Krishnan;V. Parsa;D.G. Jamieson

  • Adaptive time-frequency analysis of knee joint vibroarthrographic signals for noninvasive screening of articular cartilage pathology

    S. Krishnan;R.M. Rangayyan;G.D. Bell;C.B. Frank

  • Trends in biomedical signal feature extraction

    Sridhar Krishnan;Yashodhan Rajiv Athavale

  • Statistical Analysis of Gait Rhythm in Patients With Parkinson's Disease

    Yunfeng Wu;Sridhar Krishnan

  • Time–Frequency Matrix Feature Extraction and Classification of Environmental Audio Signals

    B. Ghoraani;S. Krishnan

  • Gaussian Mixture Modeling of Keystroke Patterns for Biometric Applications

    D. Hosseinzadeh;S. Krishnan

  • Audio Signal Feature Extraction and Classification Using Local Discriminant Bases

    K. Umapathy;S. Krishnan;R.K. Rao

  • Wearable Hardware Design for the Internet of Medical Things (IoMT)

    Fayez Qureshi;Sridhar Krishnan

  • Trends in Heart-Rate Variability Signal Analysis

    Syem Ishaque;Naimul Mefraz Khan;Sridhar Krishnan

  • Trends in EEG signal feature extraction applications

    Unknown

  • Parametric representation and screening of knee joint vibroarthrographic signals

    R.M. Rangayyan;S. Krishnan;G.D. Bell;C.B. Frank

  • Wavelet-based sparse functional linear model with applications to EEGs seizure detection and epilepsy diagnosis

    Shengkun Xie;Sridhar Krishnan

  • Gaussian Mixture Modeling of Short-Time Fourier Transform Features for Audio Fingerprinting

    A. Ramalingam;S. Krishnan

  • Multigroup classification of audio signals using time-frequency parameters

    K. Umapathy;S. Krishnan;S. Jimaa

Frequent Co-Authors

Rangaraj M. Rangayyan
Rangaraj M. Rangayyan University of Calgary
David A. Jaffray
David A. Jaffray The University of Texas MD Anderson Cancer Center
Patrick M. Lenahan
Patrick M. Lenahan Pennsylvania State University
Paul Dorian
Paul Dorian University of Toronto
Anastasios N. Venetsanopoulos
Anastasios N. Venetsanopoulos Toronto Metropolitan University
Tien D. Bui
Tien D. Bui Concordia University
Alagan Anpalagan
Alagan Anpalagan Toronto Metropolitan University
Tom Chau
Tom Chau University of Toronto
Pietro Liò
Pietro Liò University of Cambridge
Martyn P. Nash
Martyn P. Nash University of Auckland

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 education opens up a variety of pathways in computer science and beyond. For those starting out, an associates degree offers a quick entry into the tech field and can lay the groundwork for higher studies or entry-level roles.

If you’re seeking advancement or a shift in focus, choosing one of the best online edd programs could pave the way to leadership or educational technology positions. Flexible learning options are also expanding—with many online schools now nationally accredited, ensuring recognized qualifications and enhanced mobility.

For those passionate about gaming and interactive media, a game design masters online can unlock careers in the fast-growing video game industry. Whichever direction you choose, online degrees offer valuable flexibility and opportunities to specialize in areas that match your career interests.

Best Scientists Citing Sridhar Krishnan

Trending Scientists

Recently Published Articles