World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
72
Citations
28017
World Ranking
1643
National Ranking
13

Nikhil R. 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 Nikhil R. 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: 318 publications — 77th percentile

77% of scientists in this discipline score the same or lower.

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

Nikhil R. 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 Nikhil R. 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: 72 D-Index — 89th percentile

89% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2016 - Fellow, The World Academy of Sciences
  • 2005 - IEEE Fellow For contributions to neural networks and fuzzy logic in pattern recognition.
  • Fellow of the Indian National Academy of Engineering (INAE)
  • Fellow of the Indian National Academy of Engineering (INAE)
  • Fellow of the Indian National Academy of Engineering (INAE)
  • Fellow of the Indian National Academy of Engineering (INAE)
  • Fellow of the Indian National Academy of Engineering (INAE)

Overview

Nikhil R. Pal is affiliated with the Indian Statistical Institute in India and has contributed extensively to the fields of Computer Science and Engineering. Their work spans multiple subfields with a particular focus on Artificial Intelligence, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Computer Networks and Communications, and Computational Theory and Mathematics.

Their main research topics include Neural Networks and Applications, Face and Expression Recognition, Fuzzy Logic and Control Systems, Machine Learning and Extreme Learning Machines (ELM), Remote-Sensing Image Classification, Distributed Control Multi-Agent Systems, and Rough Sets and Fuzzy Logic.

Among their recent publications are the following papers:

  • "Feature Selection Using a Neural Network With Group Lasso Regularization and Controlled Redundancy," 2020, IEEE Transactions on Neural Networks and Learning Systems
  • "An Adaptive Neuro-Fuzzy System With Integrated Feature Selection and Rule Extraction for High-Dimensional Classification Problems," 2022, IEEE Transactions on Fuzzy Systems
  • "Unsupervised feature selection via adaptive autoencoder with redundancy control," 2022, Neural Networks
  • "Sensitivity analysis of Takagi-Sugeno fuzzy neural network," 2021, Information Sciences
  • "Fractional Approximation of Broad Learning System," 2022, IEEE Transactions on Cybernetics

Frequent collaborators in their research include Jian Wang, Kai Zhang, Chin-Teng Lin, Huaqing Zhang, and Qin Chang.

Key publication venues where Nikhil R. Pal's work appears prominently include arXiv (Cornell University), IEEE Transactions on Fuzzy Systems, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Emerging Topics in Computational Intelligence, and Information Sciences.

The scientist has also contributed to academic books published by Springer Nature, including "Recent Advances in Artificial Intelligence and Data Engineering" (2021) and "Educating Engineers for Future Industrial Revolutions" (2021).

Nikhil R. Pal has been recognized by several organizations and holds fellowships in prestigious academies such as The World Academy of Sciences (2016), as well as IEEE (2005) for contributions in neural networks and fuzzy logic in pattern recognition, and the Indian National Academy of Engineering.

Best Publications

  • A review on image segmentation techniques

    Nikhil R Pal;Sankar K Pal

  • On cluster validity for the fuzzy c-means model

    N.R. Pal;J.C. Bezdek

  • A possibilistic fuzzy c-means clustering algorithm

    N.R. Pal;K. Pal;J.M. Keller;J.C. Bezdek

  • Some new indexes of cluster validity

    J.C. Bezdek;N.R. Pal

  • A robust self-tuning scheme for PI- and PD-type fuzzy controllers

    R.K. Mudi;N.R. Pal

  • Fuzzy Kohonen clustering networks

    Eric Chen-Kuo Tsao;James C. Bezdek;Nikhil R. Pal

  • Generalized clustering networks and Kohonen's self-organizing scheme

    N.R. Pal;J.C. Bezdek;E.C.-K. Tsao

  • A mixed c-means clustering model

    N.R. Pal;K. Pal;J.C. Bezdek

  • Some new information measures for fuzzy sets

    Dinabandhu Bhandari;Nikhil R. Pal

  • Entropy: a new definition and its applications

    N.R. Pal;S.K. Pal

  • Object-background segmentation using new definitions of entropy

    N.R. Pal;S.K. Pal

  • Genetic programming for simultaneous feature selection and classifier design

    D.P. Muni;N.R. Pal;J. Das

  • Measuring fuzzy uncertainty

    N.R. Pal;J.C. Bezdek

  • Fuzzy Kohonen clustering networks

    J.C. Bezdek;E.C.-K. Tsao;N.R. Pal

  • On averaging operators for Atanassov's intuitionistic fuzzy sets

    G. Beliakov;H. Bustince;D. P. Goswami;U. K. Mukherjee

  • Cluster validation using graph theoretic concepts

    Nikhil R. Pal;J. Biswas

  • A self-tuning fuzzy PI controller

    Rajani K. Mudi;Nikhil R. Pal

  • On minimum cross-entropy thresholding

    Nikhil R. Pal

  • A novel approach to design classifiers using genetic programming

    D.P. Muni;N.R. Pal;J. Das

  • A neuro-fuzzy scheme for simultaneous feature selection and fuzzy rule-based classification

    D. Chakraborty;N.R. Pal

  • Fuzzy Models and Algorithms for Pattern Recognition and Image Processing (The Handbooks of Fuzzy Sets)

    James C. Bezdek;James Keller;Raghu Krisnapuram;Nikhil R. Pal

Frequent Co-Authors

James C. Bezdek
James C. Bezdek University of Melbourne
Chin-Teng Lin
Chin-Teng Lin University of Technology Sydney
Sankar K. Pal
Sankar K. Pal Indian Statistical Institute
James M. Keller
James M. Keller University of Missouri
Bhabatosh Chanda
Bhabatosh Chanda Indian Statistical Institute
Ashish Ghosh
Ashish Ghosh Indian Statistical Institute
Zehong Cao
Zehong Cao University of South Australia
Lakhmi C. Jain
Lakhmi C. Jain University of South Australia
Richard J. Hathaway
Richard J. Hathaway Georgia Southern University
Humberto Bustince
Humberto Bustince Universidad Publica De Navarra

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