World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
8645
World Ranking
12397
National Ranking
5026

Pavan Turaga 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 Pavan Turaga 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: 209 publications — 49th percentile

49% of scientists in this discipline score the same or lower.

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

Pavan Turaga 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 Pavan Turaga 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

Pavan Turaga is affiliated with Arizona State University in the United States. Their academic work primarily focuses on computer science, with a substantial number of publications in the field.

The main areas of study within computer science that Turaga has contributed to include:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Radiology, Nuclear Medicine and Imaging
  • Computational Theory and Mathematics
  • Epidemiology

Their research has explored various topics, notably:

  • Domain Adaptation and Few-Shot Learning
  • Topological and Geometric Data Analysis
  • COVID-19 diagnosis using AI
  • Generative Adversarial Networks and Image Synthesis
  • Machine Learning in Healthcare
  • Anomaly Detection Techniques and Applications
  • Machine Learning and Data Classification

Turaga has published papers in several venues. The most frequent publication outlets include:

  • arXiv (Cornell University)
  • IEEE Internet of Things Journal
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Neurocomputing
  • International Journal of Computer Vision

Recent publications authored or co-authored by Turaga comprise:

  • Digital medicine and the curse of dimensionality, 2021, npj Digital Medicine
  • Training calibration-based counterfactual explainers for deep learning models in medical image analysis, 2022, Scientific Reports
  • Machine Learning for Solar Array Monitoring, Optimization, and Control, 2020, Synthesis lectures on power electronics
  • Machine-Learning-based Algorithms for Automated Image Segmentation Techniques of Transmission X-ray Microscopy (TXM), 2021, JOM
  • Role of Data Augmentation Strategies in Knowledge Distillation for Wearable Sensor Data, 2021, IEEE Internet of Things Journal

Turaga has collaborated frequently with several researchers. Notable co-authors include:

  • Ankita Shukla
  • Eun Som Jeon
  • Jayaraman J. Thiagarajan
  • Sameeksha Katoch
  • Andreas Spanias

Turaga has contributed to book publications as well. One identified title is Machine Learning for Solar Array Monitoring, Optimization, and Control, published by Morgan & Claypool Publishers in 2020.

Best Publications

  • Machine Recognition of Human Activities: A Survey

    P. Turaga;R. Chellappa;V.S. Subrahmanian;O. Udrea

  • Feature Selection

    Unknown

  • ReconNet: Non-Iterative Reconstruction of Images from Compressively Sensed Measurements

    Kuldeep Kulkarni;Suhas Lohit;Pavan Turaga;Ronan Kerviche

  • Statistical Computations on Grassmann and Stiefel Manifolds for Image and Video-Based Recognition

    P. Turaga;A. Veeraraghavan;A. Srivastava;R. Chellappa

  • Digital medicine and the curse of dimensionality

    Unknown

  • Statistical analysis on Stiefel and Grassmann manifolds with applications in computer vision

    P. Turaga;A. Veeraraghavan;R. Chellappa

  • A Constrained Probabilistic Petri Net Framework for Human Activity Detection in Video

    Massimiliano Albanese;Rama Chellappa;Vincenzo Moscato;Antonio Picariello

  • Domain adaptive dictionary learning

    Qiang Qiu;Vishal M. Patel;Pavan Turaga;Rama Chellappa

  • Articulation-invariant representation of non-planar shapes

    Raghuraman Gopalan;Pavan Turaga;Rama Chellappa

  • Compressive acquisition of dynamic scenes

    Aswin C. Sankaranarayanan;Pavan K. Turaga;Richard G. Baraniuk;Rama Chellappa

  • Moving vistas: Exploiting motion for describing scenes

    Nitesh Shroff;Pavan Turaga;Rama Chellappa

  • Direct inference on compressive measurements using convolutional neural networks

    Suhas Lohit;Kuldeep Kulkarni;Pavan Turaga

  • Elastic functional coding of human actions: From vector-fields to latent variables

    Rushil Anirudh;Pavan Turaga;Jingyong Su;Anuj Srivastava

  • Age Estimation and Face Verification Across Aging Using Landmarks

    Tao Wu;P. Turaga;R. Chellappa

  • A Blur-Robust Descriptor with Applications to Face Recognition

    R. Gopalan;S. Taheri;P. Turaga;R. Chellappa

  • An ontology based approach for activity recognition from video

    Umut Akdemir;Pavan Turaga;Rama Chellappa

  • A Constrained Probabilistic Petri Net Framework for Human Activity Detection in Video*

    Unknown

  • Reconstruction-Free Action Inference from Compressive Imagers

    Kuldeep Kulkarni;Pavan Turaga

  • Towards view-invariant expression analysis using analytic shape manifolds

    Sima Taheri;Pavan Turaga;Rama Chellappa

  • Locally time-invariant models of human activities using trajectories on the grassmannian

    Pavan Turaga;Rama Chellappa

  • Unsupervised view and rate invariant clustering of video sequences

    Pavan Turaga;Ashok Veeraraghavan;Rama Chellappa

  • Compressive Acquisition of Linear Dynamical Systems

    Aswin C. Sankaranarayanan;Pavan K. Turaga;Rama Chellappa;Richard G. Baraniuk

  • Convolutional Neural Networks for Non-iterative Reconstruction of Compressively Sensed Images

    Suhas Lohit;Kuldeep Kulkarni;Ronan Kerviche;Pavan Turaga

Frequent Co-Authors

Rama Chellappa
Rama Chellappa Johns Hopkins University
Andreas Spanias
Andreas Spanias Arizona State University
Anuj Srivastava
Anuj Srivastava Florida State University
Ashok Veeraraghavan
Ashok Veeraraghavan Rice University
Cihan Tepedelenlioglu
Cihan Tepedelenlioglu Arizona State University
Aswin C. Sankaranarayanan
Aswin C. Sankaranarayanan Carnegie Mellon University
V. S. Subrahmanian
V. S. Subrahmanian Dartmouth College
Vishal M. Patel
Vishal M. Patel Johns Hopkins University
Richard G. Baraniuk
Richard G. Baraniuk Rice University
Matthew P. Buman
Matthew P. Buman Arizona State University

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