World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
5603
World Ranking
12541
National Ranking
377

Jagdish C. Patra 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 Jagdish C. Patra 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: 140 publications — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

Jagdish C. Patra 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 Jagdish C. Patra 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.

Overview

Jagdish C. Patra is affiliated with Swinburne University of Technology in Australia. Their research spans multiple domains within engineering and computer science, with a significant focus on applied computational techniques, material sciences, and privacy-preserving technologies.

The main fields of study for Patra include:

  • Engineering
  • Computer Science

Within these broad domains, their research extends into several subfields such as:

  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Mechanics of Materials
  • Information Systems

The key research topics addressed by Patra encompass:

  • Metallurgy and Material Forming
  • Blockchain Technology Applications and Security
  • Artificial Intelligence in Healthcare and Education
  • COVID-19 diagnosis using AI
  • Advanced machining processes and optimization
  • Advanced Machining and Optimization Techniques
  • Privacy-Preserving Technologies in Data

Patra has contributed to a range of peer-reviewed scientific papers published in recognized venues. Select recent publications include:

  • "Privacy-preserving federated learning for scalable and high data quality computational-intelligence-as-a-service in Society 5.0" (2022), published in Multimedia Tools and Applications
  • "Computer-Aided-Diagnosis as a Service on Decentralized Medical Cloud for Efficient and Rapid Emergency Response Intelligence" (2021), published in New Generation Computing
  • "Fragile high capacity data hiding in digital images using integer-to-integer DWT and lattice vector quantization" (2020), published in Multimedia Tools and Applications
  • "A Machine Learning Technique for Prediction of Cold Spray Additive Manufacturing Input Process Parameters to Achieve a Desired Spray Deposit Profile" (2024), published in IEEE Transactions on Industrial Informatics
  • "Location-aware hazardous litter management for smart emergency governance in urban eco-cyber-physical systems" (2022), published in Multimedia Tools and Applications

The frequent venues where Patra's work appears include:

  • Multimedia Tools and Applications
  • 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
  • New Generation Computing
  • IEEE Transactions on Industrial Informatics
  • IEEE Transactions on Components Packaging and Manufacturing Technology

Collaboration has been an element of Patra's research output, with notable frequent co-authors comprising:

  • Babak Majidi
  • Ravindra V. Savangouder
  • Amirhossein Peyvandi
  • Soodeh Peyvandi
  • Suresh Palanisamy

Best Publications

  • Identification of nonlinear dynamic systems using functional link artificial neural networks

    J.C. Patra;R.N. Pal;B.N. Chatterji;G. Panda

  • Genome-wide inferring gene–phenotype relationship by walking on the heterogeneous network

    Yongjin Li;Jagdish C. Patra

  • A novel ant colony optimization-based maximum power point tracking for photovoltaic systems under partially shaded conditions

    Lian Lian Jiang;Douglas L. Maskell;Jagdish C. Patra

  • Errata to “Nonlinear Dynamic System Identification Using Chebyshev Functional Link Artificial Neural Networks”

    J.C. Patra;A.C. Kot

  • A functional link artificial neural network for adaptive channel equalization

    Jagdish C. Patra;Ranendra N. Pal

  • Parameter estimation of solar cells and modules using an improved adaptive differential evolution algorithm

    Lian Lian Jiang;Douglas L. Maskell;Jagdish C. Patra

  • Nonlinear channel equalization for QAM signal constellation using artificial neural networks

    J.C. Patra;R.N. Pal;R. Baliarsingh;G. Panda

  • A novel DCT domain CRT-based watermarking scheme for image authentication surviving JPEG compression

    Jagdish C. Patra;Jiliang E. Phua;Cedric Bornand

  • Artificial neural network-based nonlinearity estimation of pressure sensors

    J.C. Patra;G. Panda;R. Baliarsingh

  • An intelligent pressure sensor using neural networks

    J.C. Patra;A.C. Kot;G. Panda

  • Nonlinear channel equalization for wireless communication systems using Legendre neural networks

    Jagdish C. Patra;Pramod K. Meher;Goutam Chakraborty

  • Modeling of an intelligent pressure sensor using functional link artificial neural networks

    Jagdish Chandra Patra;Adriaan Van den Bos

  • Legendre-FLANN-based nonlinear channel equalization in wireless communication system

    J.C. Patra;W.C. Chin;P.K. Meher;G. Chakraborty

  • Development of Laguerre Neural-Network-Based Intelligent Sensors for Wireless Sensor Networks

    J C Patra;P K Meher;G Chakraborty

  • A simple ICA-based digital image watermarking scheme

    Thang Viet Nguyen;Jagdish Chandra Patra

  • Nonlinear channel equalization with QAM signal using Chebyshev artificial neural network

    J.C. Patra;Wei Beng Poh;N.S. Chaudhari;A. Das

  • A novel CRT-based watermarking technique for authentication of multimedia contents

    Jagdish C. Patra;A. Karthik;Cedric Bornand

  • Integration of multiple data sources to prioritize candidate genes using discounted rating system

    Yongjin Li;Jagdish Chandra Patra

  • Nonlinear dynamic system identification using Legendre neural network

    Jagdish C. Patra;Cedric Bornand

  • Chebyshev Neural Network-Based Model for Dual-Junction Solar Cells

    J C Patra

  • A novel enhanced cuckoo search algorithm for contrast enhancement of gray scale images

    Ammar Mansoor Kamoona;Ammar Mansoor Kamoona;Jagdish Chandra Patra

Frequent Co-Authors

Pramod Kumar Meher
Pramod Kumar Meher Sandhaan Labs Private Limited
Douglas L. Maskell
Douglas L. Maskell Nanyang Technological University
Ganapati Panda
Ganapati Panda C. V. Raman Global University
Alex C. Kot
Alex C. Kot Nanyang Technological University
A. P. Vinod
A. P. Vinod Singapore Institute of Technology
Jianying Zhou
Jianying Zhou Singapore University of Technology and Design
Alex Stojcevski
Alex Stojcevski Curtin University
Jinchuan Zheng
Jinchuan Zheng Swinburne University of Technology
Subhas Chandra Mukhopadhyay
Subhas Chandra Mukhopadhyay Macquarie University
Thambipillai Srikanthan
Thambipillai Srikanthan Nanyang Technological University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Studying Computer Science in the USA can open doors to a range of related fields, each with its own unique career opportunities. If you're looking to expand your skill set or find a specialty, consider exploring options in engineering, physics, or data science.

Many students choose to pursue degrees in environmental engineering schools online to combine computing skills with sustainability and problem-solving. For those interested in designing and building real-world systems, understanding mechanical engineering degree cost can help you find an affordable pathway into mechanical fields.

A strong foundation in science is also valuable. Exploring the best online physics degree options can prepare you for research and analytical roles in technology and industry. Finally, with the increasing importance of big data, a data science degree is a versatile choice that leverages computer science for high-demand careers.

These online degrees offer flexible and affordable learning opportunities, empowering you to tailor your education to your career goals.

Best Scientists Citing Jagdish C. Patra

Trending Scientists

Recently Published Articles