World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
5980
World Ranking
8939
National Ranking
98

Palash Sarkar 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 Palash Sarkar 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: 341 publications — 80th percentile

80% of scientists in this discipline score the same or lower.

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

Palash Sarkar 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 Palash Sarkar 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: 41 D-Index — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Overview

Palash Sarkar is affiliated with the Indian Statistical Institute in India. Their primary field of study is Computer Science, with a significant focus on subfields such as Artificial Intelligence, Economics and Econometrics, Computational Theory and Mathematics, Information Systems, and Computer Vision and Pattern Recognition.

Their research covers a variety of main topics including:

  • Coding theory and cryptography
  • Cryptographic Implementations and Security
  • Cryptography and Residue Arithmetic
  • Cryptography and Data Security
  • Chaos-based Image/Signal Encryption
  • Income, Poverty, and Inequality
  • Game Theory and Voting Systems

Palash Sarkar has published extensively, with recent papers including:

  • "Efficient arithmetic in (pseudo-)mersenne prime order fields", 2020, Advances in Mathematics of Communications
  • "Security and efficiency trade-offs for elliptic curve Diffie-Hellman at the 128-bit and 224-bit security levels", 2021, Journal of Cryptographic Engineering
  • "Concrete analysis of approximate ideal-SIVP to decision ring-LWE reduction", 2022, Advances in Mathematics of Communications
  • "Variants of Wegman-Carter message authentication code supporting variable tag lengths", 2021, Designs Codes and Cryptography
  • "An inequality paradox: relative versus absolute indices?", 2021, METRON

The venues where Palash Sarkar frequently publishes include:

  • Advances in Mathematics of Communications
  • arXiv (Cornell University)
  • Designs Codes and Cryptography
  • Journal of Cryptographic Engineering
  • Economic Theory Bulletin

Collaborators play a significant role in their research, with frequent co-authors being:

  • Satya R. Chakravarty
  • Kaushik Nath
  • Sebati Ghosh
  • Sanjay Bhattacherjee
  • Madhurima Mukhopadhyay

Palash Sarkar has also contributed to book literature, including a publication with Cambridge University Press titled Inequality, Depolarization, and Tax Progressivity, expected in 2025.

Best Publications

  • A brief history of cellular automata

    Palash Sarkar

  • Nonlinearity bounds and constructions of resilient Boolean functions

    P. Sarkar;S. Maitra

  • Pairing-Based Cryptographic Protocols : A Survey.

    Ratna Dutta;Rana Barua;Palash Sarkar

  • Construction of nonlinear boolean functions with important cryptographic properties

    Palash Sarkar;Subhamoy Maitra

  • New applications of time memory data tradeoffs

    Jin Hong;Palash Sarkar

  • Extending Joux’s Protocol to Multi Party Key Agreement

    Rana Barua;Ratna Dutta;Palash Sarkar

  • New Constructions of Resilient and Correlation Immune Boolean Functions Achieving Upper Bound on Nonlinearity

    Emir Pasalic;Subhamoy Maitra;Thomas Johansson;Palash Sarkar

  • A Simple and Generic Construction of Authenticated Encryption with Associated Data

    Palash Sarkar

  • Improved time-memory trade-offs with multiple data

    Alex Biryukov;Sourav Mukhopadhyay;Palash Sarkar

  • Trading time for space: towards an efficient IBE scheme with short(er) public parameters in the standard model

    Sanjit Chatterjee;Palash Sarkar

  • Spectral Domain Analysis of Correlation Immune and Resilient Boolean Functions

    Claude Carlet;Palash Sarkar

  • New Collision attacks Against Up To 24-step SHA-2.

    Somitra Kumar Sanadhya;Palash Sarkar

  • Challenges with Assessing the Impact of NFS Advances on the Security of Pairing-based Cryptography.

    Alfred Menezes;Palash Sarkar;Shashank Singh

  • Progress in Cryptology — INDOCRYPT 2002

    Alfred Menezes;Palash Sarkar

  • Identity-Based Encryption

    Sanjit Chatterjee;Palash Sarkar

  • HIBE With Short Public Parameters Without Random Oracle

    Sanjit Chatterjee;Palash Sarkar

  • Maximum nonlinearity of symmetric Boolean functions on odd number of variables

    S. Maitra;P. Sarkar

  • A new mode of encryption providing a tweakable strong pseudo-random permutation

    Debrup Chakraborty;Palash Sarkar

  • Cross-Correlation Analysis of Cryptographically Useful Boolean Functions and S-Boxes

    Palash Sarkar;Subhamoy Maitra

  • VLSI architecture of a cellular automata machine

    Unknown

  • New constructions of resilient and correlation immune Boolean functions achieving the upper bound on nonlinearity

    Enes Pasalic;Thomas Johansson;Subhamoy Maitra;Palash Sarkar

Frequent Co-Authors

Satya R. Chakravarty
Satya R. Chakravarty Indian Statistical Institute
Subhamoy Maitra
Subhamoy Maitra Indian Statistical Institute
Alfred Menezes
Alfred Menezes University of Waterloo
Kouichi Sakurai
Kouichi Sakurai Kyushu University
Thomas Johansson
Thomas Johansson Lund University
Alex Biryukov
Alex Biryukov University of Luxembourg
Neal Koblitz
Neal Koblitz University of Washington
Douglas R. Stinson
Douglas R. Stinson University of Waterloo
Claude Carlet
Claude Carlet Paris 8 University

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