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Sanghamitra Bandyopadhyay

Sanghamitra Bandyopadhyay

D-Index & Metrics

Computer Science

D-Index
63
Citations
19904
World Ranking
2711
National Ranking
22

Sanghamitra Bandyopadhyay 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 Sanghamitra Bandyopadhyay 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: 391 publications — 86th percentile

86% of scientists in this discipline score the same or lower.

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

Sanghamitra Bandyopadhyay 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 Sanghamitra Bandyopadhyay 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: 63 D-Index — 81st percentile

81% of scientists in this discipline score the same or lower.

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

Overview

Sanghamitra Bandyopadhyay is affiliated with the Indian Statistical Institute in India. Their research spans multiple fields with a strong focus on computer science and biochemistry, genetics, and molecular biology.

The scientist's main fields of study include:

  • Computer Science
  • Biochemistry, Genetics and Molecular Biology

The subfields of study covered by their work are:

  • Molecular Biology
  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Computer Vision and Pattern Recognition
  • Cancer Research

Key research topics explored by Sanghamitra Bandyopadhyay involve:

  • Single-cell and spatial transcriptomics
  • Gene expression and cancer classification
  • Advanced Graph Neural Networks
  • Extracellular vesicles in disease
  • Bioinformatics and Genomic Networks
  • Machine Learning in Bioinformatics
  • Advanced Multi-Objective Optimization Algorithms

Recent publications by the scientist include:

  • Stable feature selection using copula based mutual information, 2020, Pattern Recognition
  • Decomposition in decision and objective space for multi-modal multi-objective optimization, 2021, Swarm and Evolutionary Computation
  • Novel weighted ensemble classifier for smartphone based indoor localization, 2020, Expert Systems with Applications
  • Supervised feature selection using integration of densest subgraph finding with floating forward-backward search, 2021, Information Sciences
  • sc-REnF: An entropy guided robust feature selection for single-cell RNA-seq data, 2021, Briefings in Bioinformatics

Frequent co-authors collaborating with Sanghamitra Bandyopadhyay are:

  • Snehalika Lall
  • Sumanta Ray
  • Monidipa Das
  • Abhik Ghosh
  • Sucheta Dawn

The scientist often publishes in the following venues:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • PLoS Computational Biology
  • Applied Intelligence
  • Pattern Recognition
  • Swarm and Evolutionary Computation

Best Publications

  • Genetic algorithm-based clustering technique

    Ujjwal Maulik;Sanghamitra Bandyopadhyay

  • Performance evaluation of some clustering algorithms and validity indices

    U. Maulik;S. Bandyopadhyay

  • A Simulated Annealing-Based Multiobjective Optimization Algorithm: AMOSA

    S. Bandyopadhyay;S. Saha;U. Maulik;K. Deb

  • Validity index for crisp and fuzzy clusters

    Malay Kumar Pakhira;Sanghamitra Bandyopadhyay;Ujjwal Maulik

  • Multi-Objective Particle Swarm Optimization with time variant inertia and acceleration coefficients

    Praveen Kumar Tripathi;Sanghamitra Bandyopadhyay;Sankar Kumar Pal

  • Genetic clustering for automatic evolution of clusters and application to image classification

    Sanghamitra Bandyopadhyay;Ujjwal Maulik

  • An evolutionary technique based on K-means algorithm for optimal clustering in R N

    Sanghamitra Bandyopadhyay;Ujjwal Maulik

  • A Survey of Multiobjective Evolutionary Algorithms for Data Mining: Part I

    Anirban Mukhopadhyay;Ujjwal Maulik;Sanghamitra Bandyopadhyay;Carlos Artemio Coello Coello

  • Nonparametric genetic clustering: comparison of validity indices

    S. Bandyopadhyay;U. Maulik

  • Multiobjective Genetic Clustering for Pixel Classification in Remote Sensing Imagery

    S. Bandyopadhyay;U. Maulik;A. Mukhopadhyay

  • Fuzzy partitioning using a real-coded variable-length genetic algorithm for pixel classification

    U. Maulik;S. Bandyopadhyay

  • A study of some fuzzy cluster validity indices, genetic clustering and application to pixel classification

    Malay K. Pakhira;Sanghamitra Bandyopadhyay;Ujjwal Maulik

  • TargetMiner: microRNA target prediction with systematic identification of tissue-specific negative examples

    Sanghamitra Bandyopadhyay;Ramkrishna Mitra

  • Multiobjective GAs, quantitative indices, and pattern classification

    S. Bandyopadhyay;S.K. Pal;B. Aruna

  • Development of the human cancer microRNA network

    Sanghamitra Bandyopadhyay;Ramkrishna Mitra;Ujjwal Maulik;Michael Q Zhang;Michael Q Zhang

  • An improved algorithm for clustering gene expression data

    Sanghamitra Bandyopadhyay;Anirban Mukhopadhyay;Ujjwal Maulik

  • Clustering distributed data streams in peer-to-peer environments

    Sanghamitra Bandyopadhyay;Chris Giannella;Ujjwal Maulik;Hillol Kargupta

  • GAPS: A clustering method using a new point symmetry-based distance measure

    Sanghamitra Bandyopadhyay;Sriparna Saha

  • A Point Symmetry-Based Clustering Technique for Automatic Evolution of Clusters

    S. Bandyopadhyay;S. Saha

  • Survey of Multiobjective Evolutionary Algorithms for Data Mining: Part II

    Unknown

  • Classification and learning using genetic algorithms : applications in bioinformatics and web intelligence

    Sanghamitra Bandyopadhyay;Sankar K Pal

  • Unsupervised Classification: Similarity Measures, Classical and Metaheuristic Approaches, and Applications

    Sanghamitra Bandyopadhyay;Sriparna Saha

Frequent Co-Authors

Ujjwal Maulik
Ujjwal Maulik Jadavpur University
Sankar K. Pal
Sankar K. Pal Indian Statistical Institute
Michael Q. Zhang
Michael Q. Zhang The University of Texas at Dallas
Abhik Ghosh
Abhik Ghosh University of Tromsø - The Arctic University of Norway
C. A. Murthy
C. A. Murthy Indian Statistical Institute
Hillol Kargupta
Hillol Kargupta University of Maryland, Baltimore County
Asif Ekbal
Asif Ekbal Indian Institute of Technology Patna
Pabitra Mitra
Pabitra Mitra Indian Institute of Technology Kharagpur
Zhongming Zhao
Zhongming Zhao The University of Texas Health Science Center at Houston
Benedikt Brors
Benedikt Brors German Cancer Research Center

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