World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
11051
World Ranking
7823
National Ranking
87

Pabitra Mitra 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 Pabitra Mitra 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: 290 publications — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Pabitra Mitra 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 Pabitra Mitra 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

Pabitra Mitra is affiliated with the Indian Institute of Technology Kharagpur in India. Their research primarily spans the field of Computer Science, with a particular focus on several concentrated subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Information Systems, and Management Science and Operations Research.

The scientist's work encompasses a range of topics, highlighting Digital Media Forensic Detection, Biometric Identification and Security, Speech Recognition and Synthesis, Hydrological Forecasting Using AI, Speech and Audio Processing, Network Security and Intrusion Detection, and Internet Traffic Analysis and Secure E-voting.

Among recent publications, key papers demonstrate a focus on multi-object detection and tracking, smart grid analytics, and biometric recognition. These include:

  • Deep learning in multi-object detection and tracking: state of the art, 2021, Applied Intelligence
  • Granulated RCNN and Multi-Class Deep SORT for Multi-Object Detection and Tracking, 2021, IEEE Transactions on Emerging Topics in Computational Intelligence
  • Smart meter data analytics applications for secure, reliable and robust grid system: Survey and future directions, 2023, Energy
  • Prediction of the Indian summer monsoon using a stacked autoencoder and ensemble regression model, 2020, International Journal of Forecasting
  • Audio-Visual Biometric Recognition and Presentation Attack Detection: A Comprehensive Survey, 2021, IEEE Access

The scientist has coauthored frequently with peers such as Raghavendra Ramachandra, J. Maiti, Biswajoy Ghosh, Jyotirmoy Chatterjee, and Anima Pramanik, indicating ongoing collaborative research efforts across these domains.

Publication venues where Pabitra Mitra has contributed multiple works include arXiv (Cornell University), bioRxiv (Cold Spring Harbor Laboratory), Applied Intelligence, IEEE Access, and IEEE Transactions on AgriFood Electronics.

In addition to articles, Mitra has contributed to book publications through major scientific publishers, including Springer Nature and Springer Science+Business Media. Titles include "Ambient Intelligence in Health Care" (2022) and participation in the "International Conference on IoT, Intelligent Computing and Security" (2023).

Best Publications

  • Unsupervised feature selection using feature similarity

    P. Mitra;C.A. Murthy;S.K. Pal

  • Data mining in soft computing framework: a survey

    S. Mitra;S.K. Pal;P. Mitra

  • Web mining in soft computing framework: relevance, state of the art and future directions

    S.K. Pal;V. Talwar;P. Mitra

  • Segmentation of multispectral remote sensing images using active support vector machines

    Pabitra Mitra;B. Uma Shankar;Sankar K. Pal

  • Feature weighting in content based recommendation system using social network analysis

    Souvik Debnath;Niloy Ganguly;Pabitra Mitra

  • Pattern Recognition Algorithms for Data Mining: Scalability, Knowledge Discovery, and Soft Granular Computing

    Sankar K. Pal;Pabitra Mitra

  • Deep learning in multi-object detection and tracking: state of the art

    Sankar K. Pal;Anima Pramanik;Jhareswar Maiti;Pabitra Mitra

  • Case generation using rough sets with fuzzy representation

    S.K. Pal;Pabitra Mitra

  • Granular computing, rough entropy and object extraction

    Sankar K. Pal;B. Uma Shankar;Pabitra Mitra

  • Application of optimized machine learning techniques for prediction of occupational accidents

    Sobhan Sarkar;Sammangi Vinay;Rahul Raj;Jhareswar Maiti

  • YASS: Yet another suffix stripper

    Prasenjit Majumder;Mandar Mitra;Swapan K. Parui;Gobinda Kole

  • Density-based multiscale data condensation

    P. Mitra;C.A. Murthy;S.K. Pal

  • Multispectral image segmentation using the rough-set-initialized EM algorithm

    S.K. Pal;P. Mitra

  • Pattern Recognition Algorithms for Data Mining

    Sankar K. Pal;Pabitra Mitra

  • BASS Net: Band-Adaptive Spectral-Spatial Feature Learning Neural Network for Hyperspectral Image Classification

    Anirban Santara;Kaustubh Mani;Pranoot Hatwar;Ankit Singh

  • The big data system, components, tools, and technologies: a survey

    T. Ramalingeswara Rao;Pabitra Mitra;Ravindara Bhatt;Adrijit Goswami

  • A probabilistic active support vector learning algorithm

    P. Mitra;C.A. Murthy;S.K. Pal

  • Feature selection techniques for maximum entropy based biomedical named entity recognition

    Sujan Kumar Saha;Sudeshna Sarkar;Pabitra Mitra

  • Rough-fuzzy MLP: modular evolution, rule generation, and evaluation

    S.K. Pal;S. Mitra;P. Mitra

  • Granulated RCNN and Multi-Class Deep SORT for Multi-Object Detection and Tracking

    Anima Pramanik;Sankar K. Pal;J. Maiti;Pabitra Mitra

  • Ensemble of Deep Convolutional Neural Networks for Learning to Detect Retinal Vessels in Fundus Images.

    Debapriya Maji;Anirban Santara;Pabitra Mitra;Debdoot Sheet

Frequent Co-Authors

Sankar K. Pal
Sankar K. Pal Indian Statistical Institute
Soumya K. Ghosh
Soumya K. Ghosh Indian Institute of Technology Kharagpur
Sushmita Mitra
Sushmita Mitra Indian Statistical Institute
Aurobinda Routray
Aurobinda Routray Indian Institute of Technology Kharagpur
C. A. Murthy
C. A. Murthy Indian Statistical Institute
Chandan Chakraborty
Chandan Chakraborty Indian Institute of Technology Kharagpur
Sanghamitra Bandyopadhyay
Sanghamitra Bandyopadhyay Indian Statistical Institute
Niloy Ganguly
Niloy Ganguly Indian Institute of Technology Kharagpur
Adrijit Goswami
Adrijit Goswami Indian Institute of Technology Kharagpur
Abhijit Mukherjee
Abhijit Mukherjee Curtin University

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