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Computer Science

D-Index
33
Citations
6913
World Ranking
12446
National Ranking
142

Rajat Subhra Chakraborty 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 Rajat Subhra Chakraborty 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: 182 publications — 39th percentile

39% of scientists in this discipline score the same or lower.

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

Rajat Subhra Chakraborty 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 Rajat Subhra Chakraborty 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: 33 D-Index — 13th percentile

13% 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

  • 2017 - ACM Senior Member

Overview

Rajat Subhra Chakraborty is affiliated with the Indian Institute of Technology Kharagpur in India. Their research primarily focuses on the fields of Computer Science and Engineering, with significant contributions in subfields such as Electrical and Electronic Engineering, Hardware and Architecture, Artificial Intelligence, Cellular and Molecular Neuroscience, and Computer Vision and Pattern Recognition.

Their main topics of research include:

  • Physical Unclonable Functions (PUFs) and Hardware Security
  • Integrated Circuits and Semiconductor Failure Analysis
  • Neuroscience and Neural Engineering
  • Advanced Malware Detection Techniques
  • Adversarial Robustness in Machine Learning
  • Advanced Memory and Neural Computing
  • Digital Media Forensic Detection

Among Chakraborty's recent papers are the following:

  • A Computationally Efficient Tensor Regression Network-Based Modeling Attack on XOR Arbiter PUF and Its Variants, 2020, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • 3PAA: A Private PUF Protocol for Anonymous Authentication, 2020, IEEE Transactions on Information Forensics and Security
  • Implementation, Characterization and Application of Path Changing Switch based Arbiter PUF on FPGA as a lightweight Security Primitive for IoT, 2021, ACM Transactions on Design Automation of Electronic Systems
  • Hardware Obfuscation and Logic Locking: A Tutorial Introduction, 2020, IEEE Design and Test
  • Novel Hardware Trojan Attack on Activation Parameters of FPGA-Based DNN Accelerators, 2022, IEEE Embedded Systems Letters

Frequent co-authors in Chakraborty's work include:

  • Pranesh Santikellur
  • Debdeep Mukhopadhyay
  • Rijoy Mukherjee
  • Urbi Chatterjee
  • Indrajit Chakrabarti

Chakraborty has published multiple papers in several key venues such as:

  • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • ACM Transactions on Design Automation of Electronic Systems
  • IEEE Embedded Systems Letters
  • Multimedia Tools and Applications
  • Journal of Hardware and Systems Security

In addition to journal and conference papers, Chakraborty has contributed to book publications, with a notable title published by Springer Nature: Deep Learning for Computational Problems in Hardware Security (2022).

Rajat Subhra Chakraborty was recognized as an ACM Senior Member in 2017, reflecting a level of professional achievement within the computing community.

Best Publications

  • HARPOON: An Obfuscation-Based SoC Design Methodology for Hardware Protection

    R.S. Chakraborty;S. Bhunia

  • MERO: A Statistical Approach for Hardware Trojan Detection

    Rajat Subhra Chakraborty;Francis Wolff;Somnath Paul;Christos Papachristou

  • Hardware Trojan: Threats and emerging solutions

    Rajat Subhra Chakraborty;Seetharam Narasimhan;Swarup Bhunia

  • Towards trojan-free trusted ICs: problem analysis and detection scheme

    Francis Wolff;Chris Papachristou;Swarup Bhunia;Rajat S. Chakraborty

  • Building PUF Based Authentication and Key Exchange Protocol for IoT Without Explicit CRPs in Verifier Database

    Urbi Chatterjee;Vidya Govindan;Rajat Sadhukhan;Debdeep Mukhopadhyay

  • Hardware Trojan Detection by Multiple-Parameter Side-Channel Analysis

    Seetharam Narasimhan;Dongdong Du;Rajat Subhra Chakraborty;Somnath Paul

  • Security against hardware Trojan through a novel application of design obfuscation

    Rajat Subhra Chakraborty;Swarup Bhunia

  • A PUF-Based Secure Communication Protocol for IoT

    Urbi Chatterjee;Rajat Subhra Chakraborty;Debdeep Mukhopadhyay

  • A Multiplexer-Based Arbiter PUF Composition with Enhanced Reliability and Security

    Durga Prasad Sahoo;Debdeep Mukhopadhyay;Rajat Subhra Chakraborty;Phuong Ha Nguyen

  • Multiple-parameter side-channel analysis: A non-invasive hardware Trojan detection approach

    Seetharam Narasimhan;Dongdong Du;Rajat Subhra Chakraborty;Somnath Paul

  • Hardware Trojan Insertion by Direct Modification of FPGA Configuration Bitstream

    R. S. Chakraborty;I. Saha;A. Palchaudhuri;G. K. Naik

  • Hardware protection and authentication through netlist level obfuscation

    Rajat Subhra Chakraborty;Swarup Bhunia

  • On-demand transparency for improving hardware Trojan detectability

    R.S. Chakraborty;S. Paul;S. Bhunia

  • TeSR: A robust Temporal Self-Referencing approach for Hardware Trojan detection

    Seetharam Narasimhan;Xinmu Wang;Dongdong Du;Rajat Subhra Chakraborty

  • Self-referencing: a scalable side-channel approach for hardware Trojan detection

    Dongdong Du;Seetharam Narasimhan;Rajat Subhra Chakraborty;Swarup Bhunia

  • RTL Hardware IP Protection Using Key-Based Control and Data Flow Obfuscation

    Rajat Subhra Chakraborty;Swarup Bhunia

  • VIm-Scan: A Low Overhead Scan Design Approach for Protection of Secret Key in Scan-Based Secure Chips

    S. Paul;R.S. Chakraborty;S. Bhunia

  • Improved Test Pattern Generation for Hardware Trojan Detection using Genetic Algorithm and Boolean Satisfiability.

    Sayandeep Saha;Rajat Subhra Chakraborty;Srinivasa Shashank Nuthakki;Anshul

  • Improved Test Pattern Generation for Hardware Trojan Detection Using Genetic Algorithm and Boolean Satisfiability

    Sayandeep Saha;Rajat Subhra Chakraborty;Srinivasa Shashank Nuthakki;Anshul

  • Security Against Hardware Trojan Attacks Using Key-Based Design Obfuscation

    Rajat Subhra Chakraborty;Swarup Bhunia

  • An Improved DCM-Based Tunable True Random Number Generator for Xilinx FPGA

    Anju P. Johnson;Rajat Subhra Chakraborty;Debdeep Mukhopadyay

Frequent Co-Authors

Debdeep Mukhopadhyay
Debdeep Mukhopadhyay Indian Institute of Technology Kharagpur
Swarup Bhunia
Swarup Bhunia University of Florida
Dhiraj K. Pradhan
Dhiraj K. Pradhan University of Bristol
Domenic Forte
Domenic Forte University of Florida
Kaushik Roy
Kaushik Roy Purdue University West Lafayette
Keshab K. Parhi
Keshab K. Parhi University of Minnesota
Peter Schwabe
Peter Schwabe Radboud University
Chandan Chakraborty
Chandan Chakraborty Indian Institute of Technology Kharagpur
Kaushik Roy
Kaushik Roy Purdue University West Lafayette
Francesco Regazzoni
Francesco Regazzoni Polytechnic University of Milan

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