World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
32
Citations
5203
World Ranking
9534
National Ranking
187

M. C. Deo publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where M. C. Deo sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 111 publications — 12th percentile

12% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

M. C. Deo D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where M. C. Deo sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 32 D-Index — 3rd percentile

3% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

M. C. Deo is a researcher affiliated with the Indian Institute of Technology Bombay in India. Their academic work spans multiple disciplines, focusing primarily on Earth and Planetary Sciences, Computer Science, and Environmental Science. This interdisciplinary approach reflects the diverse nature of their research contributions.

The scientist's publication record includes research in frequent venues such as the Journal of Coastal Research. One of their recent papers, titled Future Geomorphologic Changes under the Changing Climate, was published in 2020 in this journal.

Their main fields of study incorporate:

  • Earth and Planetary Sciences
  • Computer Science
  • Environmental Science

More specific subfields within these areas include:

  • Oceanography
  • Computer Vision and Pattern Recognition
  • Earth-Surface Processes
  • Atmospheric Science
  • Neurology

M. C. Deo's research topics cover a range of specialized themes, such as:

  • Coastal and Marine Dynamics
  • Ocean Waves and Remote Sensing
  • Tropical and Extratropical Cyclones Research
  • Advanced Neural Network Applications
  • Medical Image Segmentation Techniques
  • Brain Tumor Detection and Classification
  • Oceanographic and Atmospheric Processes

The scientist has collaborated with several co-authors, including:

  • Bharathan Radhamma Rajasree
  • Abel A. Reyes
  • Sidike Paheding
  • Michel Audette
  • P. S. Somaiya

The scope of M. C. Deo's research reflects an engagement with both environmental phenomena, such as geomorphologic changes related to climate, and technical aspects, including neural network applications and medical image analysis. The combination of Earth sciences and advanced computational techniques highlights a cross-disciplinary methodology integrating physical and computer sciences.

Best Publications

  • Solvers for the cardiac bidomain equations.

    E.J. Vigmond;R. Weber dos Santos;A.J. Prassl;M. Deo

  • Real time wave forecasting using neural networks

    M.C. Deo;C. Sridhar Naidu

  • Forecasting wind with neural networks

    Anurag More;M.C. Deo

  • River Stage Forecasting Using Artificial Neural Networks

    Konda Thirumalaiah;M. C. Deo

  • Neural networks for wave forecasting

    M.C. Deo;A. Jha;A.S. Chaphekar;K. Ravikant

  • Hydrological Forecasting Using Neural Networks

    Konda Thirumalaiah;Makarand C. Deo

  • Neural Networks for Estimation of Scour Downstream of a Ski-Jump Bucket

    H. Azmathullah;M. C. Deo;P. B. Deolalikar

  • On-line wave prediction

    J.D. Agrawal;M.C. Deo

  • Neural networks in ocean engineering

    P. Jain;M. C. Deo

  • Dominant Frequency Increase Rate Predicts Transition from Paroxysmal to Long-Term Persistent Atrial Fibrillation

    Raphael P. Martins;Kuljeet Kaur;Elliot Hwang;Rafael J. Ramirez

  • Neural-network approaches to electromagnetic-based modeling of passive components and their applications to high-frequency and high-speed nonlinear circuit optimization

    Xiaolei Ding;V.K. Devabhaktuni;B. Chattaraj;M.C.E. Yagoub

  • Alternative neural networks to estimate the scour below spillways

    H. Md. Azamathulla;M. C. Deo;P. B. Deolalikar

  • Real-time wave forecasting using genetic programming

    Surabhi Gaur;M.C. Deo

  • KCNJ2 mutation in short QT syndrome 3 results in atrial fibrillation and ventricular proarrhythmia

    Makarand Deo;Yanfei Ruan;Sandeep V. Pandit;Kushal Shah

  • Estimation of pile group scour using neural networks

    A.R. Kambekar;M.C. Deo

  • Towards predictive modelling of the electrophysiology of the heart

    Edward Vigmond;Fijoy Vadakkumpadan;Viatcheslav Gurev;Hermenegild Arevalo

  • Prediction of breaking waves with neural networks

    M.C. Deo;S.S. Jagdale

  • Suitability of different neural networks in daily flow forecasting

    Pankaj Singh;M. C. Deo

  • Prediction of Sea Surface Temperature by Combining Numerical and Neural Techniques

    Kalpesh Patil;M. C. Deo;M. Ravichandran

  • Estimation of scour below spillways using neural networks

    H.M.D. Azmathullah;M.C. Deo;P.B. Deolalikar

  • Real-time wave forecasts off the western Indian coast

    P. Jain;M.C. Deo

  • Filling up gaps in wave data with genetic programming

    Ketaki Ustoorikar;M.C. Deo

  • Real‐Time Flood Forecasting Using Neural Networks

    Konda Thirumalaiah;M. C. Deo

  • Tide Prediction Using Neural Networks

    M. C. Deo;Girish Chaudhari

Frequent Co-Authors

José Jalife
José Jalife University of Michigan–Ann Arbor
Subimal Ghosh
Subimal Ghosh Indian Institute of Technology Bombay
Gernot Plank
Gernot Plank Medical University of Graz
Vijay Devabhaktuni
Vijay Devabhaktuni Illinois State University
Qi-Jun Zhang
Qi-Jun Zhang Carleton University
Borja Ibanez
Borja Ibanez Spanish National Centre for Cardiovascular Research
Silvia G. Priori
Silvia G. Priori University of Pavia
M. Ravichandran
M. Ravichandran Ministry of Earth Sciences
Kang Tai
Kang Tai Nanyang Technological University
Wan-Huan Zhou
Wan-Huan Zhou University of Macau

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