World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
3844
World Ranking
13237
National Ranking
151

Debi Prosad Dogra 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 Debi Prosad Dogra 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: 139 publications — 22nd percentile

22% of scientists in this discipline score the same or lower.

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

Debi Prosad Dogra 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 Debi Prosad Dogra 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: 32 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Overview

Debi Prosad Dogra is affiliated with the Indian Institute of Technology Bhubaneswar in India. Their research primarily spans the fields of Computer Science and Engineering, with a particular focus on subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Cognitive Neuroscience, Human-Computer Interaction, and Computer Networks and Communications.

The main research topics covered by Debi Prosad Dogra include Anomaly Detection Techniques and Applications, Video Surveillance and Tracking Methods, EEG and Brain-Computer Interfaces, Human Pose and Action Recognition, Network Security and Intrusion Detection, Gaze Tracking and Assistive Technology, and Image Retrieval and Classification Techniques.

Debi Prosad Dogra has contributed extensively to various publication venues. Frequent venues include arXiv (Cornell University), Multimedia Tools and Applications, Biomedical Signal Processing and Control, IEEE Transactions on Intelligent Transportation Systems, and Expert Systems with Applications.

Among the recent papers published by Debi Prosad Dogra are:

  • EEG-based mental workload estimation using deep BLSTM-LSTM network and evolutionary algorithm (2020, Biomedical Signal Processing and Control)
  • Exploring Impact of Age and Gender on Sentiment Analysis Using Machine Learning (2020, Electronics)
  • A Survey on Neuromarketing Using EEG Signals (2021, IEEE Transactions on Cognitive and Developmental Systems)
  • Vehicular Trajectory Classification and Traffic Anomaly Detection in Videos Using a Hybrid CNN-VAE Architecture (2021, IEEE Transactions on Intelligent Transportation Systems)
  • A multimodal-Siamese Neural Network (mSNN) for person verification using signatures and EEG (2021, Information Fusion)

The scientist has frequently collaborated with a number of coauthors, including Partha Pratim Roy, Heeseung Choi, Ig-Jae Kim, Arif Ahmed Sekh, and Kamalakar Vijay Thakare.

Best Publications

  • Analysis of EEG signals and its application to neuromarketing

    Mahendra Yadava;Pradeep Kumar;Rajkumar Saini;Partha Pratim Roy

  • Coupled HMM-based multi-sensor data fusion for sign language recognition

    Pradeep Kumar;Himaanshu Gauba;Partha Pratim Roy;Debi Prosad Dogra

  • A multimodal framework for sensor based sign language recognition

    Pradeep Kumar;Himaanshu Gauba;Partha Pratim Roy;Debi Prosad Dogra

  • EEG-based mental workload estimation using deep BLSTM-LSTM network and evolutionary algorithm

    Debashis Das Chakladar;Shubhashis Dey;Partha Pratim Roy;Debi Prosad Dogra

  • Anomaly Detection in Road Traffic Using Visual Surveillance: A Survey

    Santhosh Kelathodi Kumaran;Debi Prosad Dogra;Partha Pratim Roy

  • Prediction of advertisement preference by fusing EEG response and sentiment analysis.

    Himaanshu Gauba;Pradeep Kumar;Partha Pratim Roy;Priyanka Singh

  • Envisioned speech recognition using EEG sensors

    Pradeep Kumar;Rajkumar Saini;Partha Pratim Roy;Pawan Kumar Sahu

  • Trajectory-Based Surveillance Analysis: A Survey

    Sk. Arif Ahmed;Debi Prosad Dogra;Samarjit Kar;Partha Pratim Roy

  • Independent Bayesian classifier combination based sign language recognition using facial expression

    Pradeep Kumar;Partha Pratim Roy;Debi Prosad Dogra

  • A position and rotation invariant framework for sign language recognition (SLR) using Kinect

    Pradeep Kumar;Rajkumar Saini;Partha Pratim Roy;Debi Prosad Dogra

  • EEG-Based Age and Gender Prediction Using Deep BLSTM-LSTM Network Model

    Pallavi Kaushik;Anmol Gupta;Partha Pratim Roy;Debi Prosad Dogra

  • Fingertip Detection and Tracking for Recognition of Air-Writing in Videos

    Sohom Mukherjee;Sk. Arif Ahmed;Debi Prosad Dogra;Samarjit Kar

  • deepGesture: Deep learning-based gesture recognition scheme using motion sensors

    Ji-Hae Kim;Gwang-Soo Hong;Byung-Gyu Kim;Debi Prosad Dogra

  • Exploring Impact of Age and Gender on Sentiment Analysis Using Machine Learning

    Sudhanshu Kumar;Monika Gahalawat;Partha Pratim Roy;Debi Prosad Dogra

  • Computer-Vision-Assisted Palm Rehabilitation With Supervised Learning

    K. M. Vamsikrishna;Debi Prosad Dogra;Maunendra Sankar Desarkar

  • Study of Text Segmentation and Recognition Using Leap Motion Sensor

    Pradeep Kumar;Rajkumar Saini;Partha Pratim Roy;Debi Prosad Dogra

  • Computer-Vision-Guided Human Pulse Rate Estimation: A Review

    Arindam Sikdar;Santosh Kumar Behera;Debi Prosad Dogra

  • Multimodal Gait Recognition With Inertial Sensor Data and Video Using Evolutionary Algorithm

    Pradeep Kumar;Subham Mukherjee;Rajkumar Saini;Pallavi Kaushik

  • Real-time recognition of sign language gestures and air-writing using leap motion

    Pradeep Kumar;Rajkumar Saini;Santosh Kumar Behera;Debi Prosad Dogra

  • A Survey on Neuromarketing using EEG Signals

    Vaishali Khurana;Monika Gahalawat;Pradeep Kumar;Partha Pratim Roy

  • Vehicular Trajectory Classification and Traffic Anomaly Detection in Videos Using a Hybrid CNN-VAE Architecture

    Kelathodi Kumaran Santhosh;Debi Prosad Dogra;Partha Pratim Roy;Adway Mitra

  • A bio-signal based framework to secure mobile devices

    Pradeep Kumar;Rajkumar Saini;Partha Pratim Roy;Debi Prosad Dogra

Frequent Co-Authors

Partha Pratim Roy
Partha Pratim Roy Indian Institute of Technology Dhanbad
Pradeep Kumar
Pradeep Kumar Indian Institute of Technology Roorkee
Samarjit Kar
Samarjit Kar National Institute of Technology Durgapur
Arun Majumdar
Arun Majumdar Stanford University
Shamik Sural
Shamik Sural Indian Institute of Technology Kharagpur
Bidyut B. Chaudhuri
Bidyut B. Chaudhuri Indian Statistical Institute
Erik Scheme
Erik Scheme University of New Brunswick
Lyudmila Mihaylova
Lyudmila Mihaylova University of Sheffield
Victor Chang
Victor Chang Aston University
Balasubramanian Raman
Balasubramanian Raman Indian Institute of Technology Roorkee

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