World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
12364
World Ranking
7790
National Ranking
84

Mahesh Pal 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 Mahesh Pal 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: 113 publications — 12th percentile

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

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

Mahesh Pal 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 Mahesh Pal 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: 43 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Overview

Mahesh Pal is affiliated with the National Institute of Technology Kurukshetra in India. Their research spans multiple disciplines primarily within Engineering and Environmental Science.

The main fields of study for Mahesh Pal include:

  • Engineering
  • Environmental Science

Their subfields of study cover specialized areas such as:

  • Media Technology
  • Environmental Engineering
  • Water Science and Technology
  • Ecology
  • Civil and Structural Engineering

Mahesh Pal focuses on numerous research topics within these fields, including:

  • Remote-Sensing Image Classification
  • Remote Sensing in Agriculture
  • Advanced Image Fusion Techniques
  • Groundwater and Watershed Analysis
  • Water Quality and Pollution Assessment
  • Groundwater and Isotope Geochemistry
  • Hydrological Forecasting Using AI

Their recent papers demonstrate the application of machine learning and AI in environmental and remote sensing contexts. Notable recent publications are:

  • "Prediction of groundwater quality indices using machine learning algorithms", 2021, Water Practice & Technology
  • "Deep neural network-based predictive modeling of road accidents", 2020, Neural Computing and Applications
  • "Cloud detection using sentinel 2 imageries: a comparison of XGBoost, RF, SVM, and CNN algorithms", 2022, Geocarto International
  • "CNN-based fusion and classification of SAR and Optical data", 2020, International Journal of Remote Sensing
  • "Parametric study of convolutional neural network based remote sensing image classification", 2021, International Journal of Remote Sensing

Mahesh Pal frequently collaborates with other researchers. The most common coauthors are:

  • Hemant Raheja
  • Arun Goel
  • Mantosh Biswas
  • Achala Shakya
  • Amit Prabhakar

The distribution of Mahesh Pal's publications shows a consistent presence in specialized and interdisciplinary journals. Frequent publication venues include:

  • International Journal of Remote Sensing
  • arXiv (Cornell University)
  • Water Practice & Technology
  • ISH Journal of Hydraulic Engineering
  • Journal of Engineering Science and Technology Review

Best Publications

  • Random forest classifier for remote sensing classification

    M. Pal

  • An assessment of the effectiveness of decision tree methods for land cover classification

    Mahesh Pal;Paul M Mather

  • Support vector machines for classification in remote sensing

    M. Pal;P. M. Mather

  • Feature Selection for Classification of Hyperspectral Data by SVM

    Mahesh Pal;Giles M Foody

  • Assessment of the effectiveness of support vector machines for hyperspectral data

    Mahesh Pal;P. M. Mather

  • Kernel-based extreme learning machine for remote-sensing image classification

    Mahesh Pal;Aaron E. Maxwell;Timothy A. Warner

  • Support vector machines‐based modelling of seismic liquefaction potential

    Mahesh Pal

  • M5 model tree based modelling of reference evapotranspiration

    Mahesh Pal;Surinder Deswal

  • Comparison of supervised and unsupervised approaches for mudstone lithofacies classification: Case studies from the Bakken and Mahantango-Marcellus Shale, USA

    Shuvajit Bhattacharya;Timothy R. Carr;Mahesh Pal

  • Modelling pile capacity using Gaussian process regression

    Mahesh Pal;Surinder Deswal

  • Some issues in the classification of DAIS hyperspectral data

    Mahesh Pal;P. M. Mather

  • Ensemble of support vector machines for land cover classification

    M. Pal

  • Evaluation of SVM, RVM and SMLR for Accurate Image Classification With Limited Ground Data

    M. Pal;G. M. Foody

  • Support vector machine‐based feature selection for land cover classification: a case study with DAIS hyperspectral data

    M. Pal

  • Support Vector classifiers for Land Cover Classification

    Mahesh Pal;Paul M. Mather

  • Modeling Pile Capacity Using Support Vector Machines and Generalized Regression Neural Network

    Mahesh Pal;Surinder Deswal

  • Estimation of Mean Annual Flood in Indian Catchments Using Backpropagation Neural Network and M5 Model Tree

    Krishna Kumar Singh;Mahesh Pal;V. P. Singh

  • M5 model tree application in daily river flow forecasting in Sohu Stream, Turkey

    M. Taghi Sattari;Mahesh Pal;Halit Apaydin;Fazli Ozturk

  • Performance evaluation of artificial neural network approaches in forecasting reservoir inflow

    M. Taghi Sattari;Kadri Yurekli;Mahesh Pal

  • Ground water quality classification by decision tree method in Ardebil region, Iran

    S. Mehdi Saghebian;M. Taghi Sattari;Rasoul Mirabbasi;Mahesh Pal

  • Random forests for land cover classification

    M. Pal

Frequent Co-Authors

Giles M. Foody
Giles M. Foody University of Nottingham
David Arditi
David Arditi Illinois Institute of Technology
Duccio Rocchini
Duccio Rocchini University of Bologna
Sunil Tiwari
Sunil Tiwari University of Bristol

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