World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
35
Citations
5194
World Ranking
11707
National Ranking
4795

Kaushik Roy 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 Kaushik Roy 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: 351 publications — 82nd percentile

82% of scientists in this discipline score the same or lower.

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

Kaushik Roy 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 Kaushik Roy 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: 35 D-Index — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Overview

Kaushik Roy is affiliated with Purdue University West Lafayette in the United States and has a significant body of work primarily in computer science. Their research spans several interconnected subfields, with a notable focus on computer vision and pattern recognition, artificial intelligence, signal processing, media technology, and information systems.

The researcher has authored numerous papers published in various academic venues. Some recent papers include:

  • Deep neural network to detect COVID-19: one architecture for both CT Scans and Chest X-rays (2020), Applied Intelligence
  • Using a Long Short-Term Memory Recurrent Neural Network (LSTM-RNN) to Classify Network Attacks (2020), Information
  • Shallow Convolutional Neural Network for COVID-19 Outbreak Screening Using Chest X-rays (2021), Cognitive Computation
  • Text categorization: past and present (2020), Artificial Intelligence Review
  • An Investigation of Biometric Authentication in the Healthcare Environment (2020), Array

Kaushik Roy collaborates frequently with a number of coauthors, including Sk Md Obaidullah, Himadri Mukherjee, Ankita Dhar, KC Santosh, and Mridul Ghosh. Collaboration counts reflect extensive joint research efforts, with coauthor counts ranging from over 20 to more than 50 publications together.

Their research contributions have appeared repeatedly in well-known venues such as arXiv (Cornell University), Multimedia Tools and Applications, Journal of Marine Medical Society, Future Internet, and the 2021 IEEE Symposium Series on Computational Intelligence (SSCI).

The main topics addressed in their work cover diverse areas, highlighting a multidisciplinary approach to computer science and related technologies. Key topics include:

  • Handwritten Text Recognition Techniques
  • Vehicle License Plate Recognition
  • Music and Audio Processing
  • Advanced Malware Detection Techniques
  • Biometric Identification and Security
  • Face recognition and analysis
  • Network Security and Intrusion Detection

These focal areas correspond closely with Kaushik Roy's specialization in subfields such as computer vision, artificial intelligence, and signal processing, which are foundational to their research on recognition systems, security, and multimedia processing.

Overall, Kaushik Roy's research portfolio reflects a sustained concentration on applying advanced machine learning techniques to practical problems in healthcare diagnostics, security, and multimedia analysis, evidenced by multiple publications spanning recent years.

Best Publications

  • Algorithm-based fault tolerance on a hypercube multiprocessor

    P. Banerjee;J.T. Rahmeh;C. Stunkel;V.S. Nair

  • Deep neural network to detect COVID-19: one architecture for both CT Scans and Chest X-rays

    Himadri Mukherjee;Subhankar Ghosh;Ankita Dhar;Sk Md Obaidullah

  • LSTM for Anomaly-Based Network Intrusion Detection

    Sara A. Althubiti;Eric Marcell Jones;Kaushik Roy

  • Using a Long Short-Term Memory Recurrent Neural Network (LSTM-RNN) to Classify Network Attacks

    Pramita Sree Muhuri;Prosenjit Chatterjee;Xiaohong Yuan;Kaushik Roy

  • Shallow Convolutional Neural Network for COVID-19 Outbreak Screening Using Chest X-rays.

    Himadri Mukherjee;Subhankar Ghosh;Ankita Dhar;Sk Md Obaidullah

  • PHDIndic_11: page-level handwritten document image dataset of 11 official Indic scripts for script identification

    Sk Md Obaidullah;Chayan Halder;K. C. Santosh;Nibaran Das

  • Text categorization: past and present

    Ankita Dhar;Himadri Mukherjee;Niladri Sekhar Dash;Kaushik Roy

  • Towards nonideal iris recognition based on level set method, genetic algorithms and adaptive asymmetrical SVMs

    Kaushik Roy;Prabir Bhattacharya;Ching Y. Suen

  • Oriya handwritten numeral recognition system

    K. Roy;T. Pal;U. Pal;F. Kimura

  • Comparison of machine learning and deep learning models for network intrusion detection systems

    Niraj Thapa;Zhipeng Liu;Dukka B. Kc;Balakrishna Gokaraju

  • A system towards Indian postal automation

    K. Roy;S. Vajda;U. Pal;B.B. Chaudhuri

  • Anomaly Detection on IoT Network Intrusion Using Machine Learning

    Zhipeng Liu;Niraj Thapa;Addison Shaver;Kaushik Roy

  • Iris segmentation using variational level set method

    Kaushik Roy;Prabir Bhattacharya;Ching Y. Suen

  • The k-Nearest Neighbor Algorithm Using MapReduce Paradigm

    Prajesh P. Anchalia;Kaushik Roy

  • A system for Indian postal automation

    K. Roy;S. Vajda;U. Pal;B.B. Chaudhuri

  • Biological Activity of Carotenoids: Its Implications in Cancer Risk and Prevention

    Mary Chatterjee;Kaushik Roy;M. Janarthan;Subhadeep Das

  • Automatic Lung Health Screening Using Respiratory Sounds

    Himadri Mukherjee;Priyanka Sreerama;Ankita Dhar;Sk Md Obaidullah

  • ReStoCNet: Residual Stochastic Binary Convolutional Spiking Neural Network for Memory-Efficient Neuromorphic Computing.

    Gopalakrishnan Srinivasan;Kaushik Roy

  • A system for word-wise handwritten script identification for Indian postal automation

    K. Roy;A. Banerjee;U. Pal

  • A study of the performance of embedding methods for Arabic short-text sentiment analysis using deep learning approaches

    Ali Alwehaibi;Marwan Bikdash;Mohammad Albogmi;Kaushik Roy

  • Line spectral frequency-based features and extreme learning machine for voice activity detection from audio signal

    Himadri Mukherjee;Sk. Md. Obaidullah;K. C. Santosh;Santanu Phadikar

  • AUTOMATION OF INDIAN POSTAL DOCUMENTS WRITTEN IN BANGLA AND ENGLISH

    Szilárd Vajda;Kaushik Roy;Umapada Pal;Bidyut B Chaudhuri

  • A lazy learning-based language identification from speech using MFCC-2 features

    Himadri Mukherjee;Sk Md Obaidullah;K. C. Santosh;Santanu Phadikar

  • Automatic Indic script identification from handwritten documents: page, block, line and word-level approach

    Sk Md Obaidullah;K. C. Santosh;Chayan Halder;Nibaran Das

  • Improved word-level handwritten Indic script identification by integrating small convolutional neural networks

    Soumya Ukil;Swarnendu Ghosh;Sk Md Obaidullah;K. C. Santosh

  • Script identification from printed indian document images and performance evaluation using different classifiers

    Sk Md Obaidullah;Anamika Mondal;Nibaran Das;Kaushik Roy

Frequent Co-Authors

Nibaran Das
Nibaran Das Jadavpur University
Umapada Pal
Umapada Pal Indian Statistical Institute
Ram Sarkar
Ram Sarkar Jadavpur University
Bidyut B. Chaudhuri
Bidyut B. Chaudhuri Indian Statistical Institute
Friedhelm Schwenker
Friedhelm Schwenker University of Ulm
David Doermann
David Doermann University at Buffalo, State University of New York
Mita Nasipuri
Mita Nasipuri Jadavpur University
Xiao-Zhi Gao
Xiao-Zhi Gao University of Eastern Finland
Rajat Subhra Chakraborty
Rajat Subhra Chakraborty Indian Institute of Technology Kharagpur
Mufti Mahmud
Mufti Mahmud Nottingham Trent 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

Exploring Computer Science in the USA opens doors to a range of related online degrees and career options. Many students choose to pair or transition to fields such as environmental science, engineering, or accelerated programs to match their career goals and interests.

If you’re curious about what jobs can you get with an environmental science degree, you’ll find roles in research, policy, and conservation that increasingly require computing knowledge. For those seeking a faster route, an accelerated computer science degree online allows you to earn your qualification quickly and start your tech career sooner.

Engineering is another rewarding path. An online environmental engineering degree science and engineering can build expertise in sustainable design and infrastructure—skills valued in both public and private sectors. Similarly, you might consider online mechanical engineering degrees for careers in robotics, manufacturing, or aerospace.

Online programs make it easier than ever to study across disciplines, broadening your skills and opening fresh career pathways in technology and beyond.

Best Scientists Citing Kaushik Roy

Trending Scientists

Recently Published Articles