World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
75
Citations
19014
World Ranking
1432
National Ranking
11

Ram Bilas Pachori 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 Ram Bilas Pachori 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 338 publications — 80th percentile

80% of scientists in this discipline score the same or lower.

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

Ram Bilas Pachori 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 Ram Bilas Pachori sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 75 D-Index — 90th percentile

90% of scientists in this discipline score the same or lower.

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

Overview

Ram Bilas Pachori is affiliated with the Indian Institute of Technology Indore in India. Their research spans multiple fields, principally Medicine, Computer Science, and Neuroscience. The subfields covered in their work include Cognitive Neuroscience, Signal Processing, Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, and Artificial Intelligence.

The scientist's publication record includes frequent contributions to various academic venues. Notable among these are Biomedical Signal Processing and Control, IEEE Sensors Letters, IEEE Transactions on Instrumentation and Measurement, IEEE Sensors Journal, and Digital Signal Processing.

Key topics addressed in their research encompass EEG and Brain-Computer Interfaces, Blind Source Separation Techniques, ECG Monitoring and Analysis, Non-Invasive Vital Sign Monitoring, AI in cancer detection, Machine Fault Diagnosis Techniques, and Retinal Imaging and Analysis.

Among their recent papers are the following:

  • Application of deep learning techniques for detection of COVID-19 cases using chest X-ray images: A comprehensive study (2020) in Biomedical Signal Processing and Control
  • A Sliding Window Common Spatial Pattern for Enhancing Motor Imagery Classification in EEG-BCI (2021) in IEEE Transactions on Instrumentation and Measurement
  • Automated emotion recognition based on higher order statistics and deep learning algorithm (2020) in Biomedical Signal Processing and Control
  • A deep learning based approach for automatic detection of COVID-19 cases using chest X-ray images (2021) in Biomedical Signal Processing and Control
  • Detection of apnea events from ECG segments using Fourier decomposition method (2020) in Biomedical Signal Processing and Control

Ram Bilas Pachori has collaborated frequently with a number of researchers. Prominent co-authors include Rajesh Kumar Tripathy, Kritiprasanna Das, M. Sabarimalai Manikandan, Pramod Gaur, and Sibghatullah I. Khan.

In addition to journal articles, Ram Bilas Pachori has contributed to book literature. One such publication is "Pattern Recognition and Data Analysis with Applications," published by Springer Science+Business Media in 2022.

Best Publications

  • Classification of Seizure and Nonseizure EEG Signals Using Empirical Mode Decomposition

    V. Bajaj;R. B. Pachori

  • Classification of epileptic seizures in EEG signals based on phase space representation of intrinsic mode functions

    Rajeev Sharma;Ram Bilas Pachori

  • A Multivariate Approach for Patient-Specific EEG Seizure Detection Using Empirical Wavelet Transform

    Abhijit Bhattacharyya;Ram Bilas Pachori

  • A new approach to characterize epileptic seizures using analytic time-frequency flexible wavelet transform and fractal dimension

    Manish Sharma;Ram Bilas Pachori;U. Rajendra Acharya

  • Application of deep learning techniques for detection of COVID-19 cases using chest X-ray images: A comprehensive study.

    Soumya Ranjan Nayak;Deepak Ranjan Nayak;Utkarsh Sinha;Vaibhav Arora

  • Application of Entropy Measures on Intrinsic Mode Functions for the Automated Identification of Focal Electroencephalogram Signals

    Rajeev Sharma;Ram Pachori;U. Acharya

  • Epileptic seizure classification in EEG signals using second-order difference plot of intrinsic mode functions

    Ram Bilas Pachori;Shivnarayan Patidar

  • Automated Diagnosis of Glaucoma Using Empirical Wavelet Transform and Correntropy Features Extracted From Fundus Images

    Shishir Maheshwari;Ram Bilas Pachori;U. Rajendra Acharya

  • Tunable-Q Wavelet Transform Based Multiscale Entropy Measure for Automated Classification of Epileptic EEG Signals

    Abhijit Bhattacharyya;Ram Pachori;Abhay Upadhyay;U. Acharya

  • Discrimination between ictal and seizure-free EEG signals using empirical mode decomposition

    Ram Bilas Pachori

  • Classification of ictal and seizure-free EEG signals using fractional linear prediction

    Varun Joshi;Ram Bilas Pachori;V. Antony Vijesh

  • Cross-Subject Emotion Recognition Using Flexible Analytic Wavelet Transform From EEG Signals

    Vipin Gupta;Mayur Dahyabhai Chopda;Ram Bilas Pachori

  • Analysis of normal and epileptic seizure EEG signals using empirical mode decomposition

    Ram Bilas Pachori;Varun Bajaj

  • Automatic classification of sleep stages based on the time-frequency image of EEG signals

    Varun Bajaj;Ram Bilas Pachori

  • Automated Diagnosis of Epilepsy Using Key-Point-Based Local Binary Pattern of EEG Signals

    Ashwani Kumar Tiwari;Ram Bilas Pachori;Vivek Kanhangad;Bijaya Ketan Panigrahi

  • A Sliding Window Common Spatial Pattern for Enhancing Motor Imagery Classification in EEG-BCI

    Pramod Gaur;Harsh Gupta;Anirban Chowdhury;Karl McCreadie

  • A Multi-class EEG-based BCI classification using Multivariate Empirical Mode Decomposition Based Filtering and Riemannian Geometry

    Pramod Gaur;Ram Bilas Pachori;Hui Wang;Girijesh Prasad

  • A novel approach for automated detection of focal EEG signals using empirical wavelet transform

    Abhijit Bhattacharyya;Manish Sharma;Ram Bilas Pachori;Pradip Sircar

  • Automatic sleep stages classification based on iterative filtering of electroencephalogram signals

    Rajeev Sharma;Ram Bilas Pachori;Abhay Upadhyay

  • An Integrated Index for the Identification of Focal Electroencephalogram Signals Using Discrete Wavelet Transform and Entropy Measures

    Rajeev Sharma;Ram Pachori;U. Acharya

  • Fast communication: EEG signal analysis using FB expansion and second-order linear TVAR process

    Ram Bilas Pachori;Pradip Sircar

Frequent Co-Authors

U. Rajendra Acharya
U. Rajendra Acharya University of Southern Queensland
Varun Bajaj
Varun Bajaj Maulana Azad National Institute of Technology
Girijesh Prasad
Girijesh Prasad University of Ulster
Hichem Snoussi
Hichem Snoussi University of Technology of Troyes
Louis Maillard
Louis Maillard University of Lorraine
Bijaya Ketan Panigrahi
Bijaya Ketan Panigrahi Indian Institute of Technology Delhi
Yudong Zhang
Yudong Zhang University of Leicester

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