World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
5808
World Ranking
12983
National Ranking
147

K. I. Ramachandran 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 K. I. Ramachandran 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: 129 publications — 18th percentile

18% of scientists in this discipline score the same or lower.

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

K. I. Ramachandran 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 K. I. Ramachandran 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: 32 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Overview

K. I. Ramachandran is affiliated with Amrita Vishwa Vidyapeetham University in India and has contributed extensively to the fields of Engineering and Computer Science, with a particular focus on several subfields including Control and Systems Engineering, Mechanical Engineering, Electrical and Electronic Engineering, Artificial Intelligence, and Signal Processing.

The scientist's research encompasses several key topics, notably:

  • Machine Fault Diagnosis Techniques
  • EEG and Brain-Computer Interfaces
  • Advanced machining processes and optimization
  • Gear and Bearing Dynamics Analysis
  • Remote Sensing in Agriculture
  • Remote-Sensing Image Classification
  • Fault Detection and Control Systems

K. I. Ramachandran has published multiple papers in well-known scholarly venues. Frequent publication venues include:

  • International Journal of Prognostics and Health Management
  • SSRN Electronic Journal
  • International Journal of Electronics and Telecommunications
  • Data in Brief
  • Iranian Polymer Journal

Representative recent papers include:

  • "Feature level fusion of vibration and acoustic emission signals in tool condition monitoring using machine learning classifiers" (2020), published in International Journal of Prognostics and Health Management
  • "Comparison of Vibration, Sound and Motor Current Signature Analysis for Detection of Gear Box Faults" (2020), published in International Journal of Prognostics and Health Management
  • "Detection of Obstructive Sleep Apnea from ECG Signal Using SVM Based Grid Search" (2021), published in International Journal of Electronics and Telecommunications
  • "Feature Mapping Techniques for Improving the Performance of Fault Diagnosis of Synchronous Generator" (2020), published in International Journal of Prognostics and Health Management
  • "Experimental, analytical and finite element studies on nano(MWCNT) and hybrid (MWCNT/glass fiber) filler reinforced polypropylene composites" (2020), published in Iranian Polymer Journal

The scientist collaborates frequently with the following coauthors:

  • C. Santhosh Kumar
  • S. Adarsh
  • C B Rajesh
  • Sudhanshu S. Jha
  • Rama Rao Nidamanuri

K. I. Ramachandran's work is positioned at the intersection of engineering and computer science, integrating approaches from artificial intelligence and signal processing to address complex problems in fault diagnosis, control systems, and remote sensing. Their research output reflects a multidisciplinary approach to subjects ranging from mechanical and electrical engineering systems to biomedical signal analysis.

Best Publications

  • Insight into Wavelets: From Theory to Practice

    K P Soman;K. I. Ramachandran

  • Feature selection using Decision Tree and classification through Proximal Support Vector Machine for fault diagnostics of roller bearing

    V. Sugumaran;V. Muralidharan;K.I. Ramachandran

  • Incipient gear box fault diagnosis using discrete wavelet transform (DWT) for feature extraction and classification using artificial neural network (ANN)

    N. Saravanan;K. I. Ramachandran

  • Multi component fault diagnosis of rotational mechanical system based on decision tree and support vector machine

    M. Saimurugan;K. I. Ramachandran;V. Sugumaran;N. R. Sakthivel

  • Fault diagnosis of spur bevel gear box using artificial neural network (ANN), and proximal support vector machine (PSVM)

    N. Saravanan;V.N.S. Kumar Siddabattuni;K. I. Ramachandran

  • Automatic rule learning using decision tree for fuzzy classifier in fault diagnosis of roller bearing

    V. Sugumaran;K.I. Ramachandran

  • A comparative study on classification of features by SVM and PSVM extracted using Morlet wavelet for fault diagnosis of spur bevel gear box

    N. Saravanan;V. N. S. Kumar Siddabattuni;K. I. Ramachandran

  • Vibration-based fault diagnosis of spur bevel gear box using fuzzy technique

    N. Saravanan;S. Cholairajan;K. I. Ramachandran

  • Effect of number of features on classification of roller bearing faults using SVM and PSVM

    V. Sugumaran;K. I. Ramachandran

  • A novel heart sound activity detection framework for automated heart sound analysis

    V. Nivitha Varghees;K.I. Ramachandran

  • Fault diagnostics of roller bearing using kernel based neighborhood score multi-class support vector machine

    V. Sugumaran;G. R. Sabareesh;K. I. Ramachandran

  • Machine learning approach for automated visual inspection of machine components

    S. Ravikumar;K. I. Ramachandran;V. Sugumaran

  • Effective Heart Sound Segmentation and Murmur Classification Using Empirical Wavelet Transform and Instantaneous Phase for Electronic Stethoscope

    V. Nivitha Varghees;K. I. Ramachandran

  • Fault Diagnosis of Automobile Gearbox Based on Machine Learning Techniques

    T. Praveenkumar;M. Saimurugan;P. Krishnakumar;K.I. Ramachandran

  • Evaluation of expert system for condition monitoring of a single point cutting tool using principle component analysis and decision tree algorithm

    M. Elangovan;S. Babu Devasenapati;N. R. Sakthivel;K. I. Ramachandran

  • Fault diagnosis of spur bevel gear box using discrete wavelet features and Decision Tree classification

    N. Saravanan;K. I. Ramachandran

  • Performance comparison of Infrared and Ultrasonic sensors for obstacles of different materials in vehicle/ robot navigation applications

    S Adarsh;S Mohamed Kaleemuddin;Dinesh Bose;K I Ramachandran

  • Studies on Bayes classifier for condition monitoring of single point carbide tipped tool based on statistical and histogram features

    M. Elangovan;K. I. Ramachandran;V. Sugumaran

  • Fault diagnosis of roller bearing using fuzzy classifier and histogram features with focus on automatic rule learning

    V. Sugumaran;K.I. Ramachandran

  • Effect of SVM kernel functions on classification of vibration signals of a single point cutting tool

    M. Elangovan;V. Sugumaran;K. I. Ramachandran;S. Ravikumar

Frequent Co-Authors

Ashish Sharma
Ashish Sharma University of New South Wales
Ajith Abraham
Ajith Abraham Sai University
K. P. Soman
K. P. Soman Amrita Vishwa Vidyapeetham University

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