World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
48
Citations
15212
World Ranking
6037
National Ranking
2719

Anand Rangarajan 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 Anand Rangarajan 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: 256 publications — 64th percentile

64% of scientists in this discipline score the same or lower.

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

Anand Rangarajan 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 Anand Rangarajan 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: 48 D-Index — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Overview

Anand Rangarajan is affiliated with the University of Florida in the United States. Their research spans multiple areas within computer science and engineering, particularly focusing on computer vision, artificial intelligence, and domains with practical applications in transportation and environmental monitoring.

The scientist has contributed extensively to fields such as computer vision and pattern recognition with 41 publications and artificial intelligence with 20 works. Their engineering research also covers areas like building and construction and automotive engineering. Contributions to plant science indicate a broader interdisciplinary engagement.

Main topics of research include:

  • Traffic Prediction and Management Techniques
  • Autonomous Vehicle Technology and Safety
  • Advanced Neural Network Applications
  • Video Surveillance and Tracking Methods
  • Traffic control and management
  • Algorithms and Data Compression
  • Remote Sensing in Agriculture

Rangarajan's recent publications reflect a diverse range of research interests. Selected papers include:

  • "Intelligent Intersection," 2020, ACM Transactions on Spatial Algorithms and Systems
  • "MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring," 2023, SoftwareX
  • "Error-Bounded Learned Scientific Data Compression with Preservation of Derived Quantities," 2022, Applied Sciences
  • "Truck and Trailer Classification With Deep Learning Based Geometric Features," 2020, IEEE Transactions on Intelligent Transportation Systems
  • "Learning Scene Dynamics from Point Cloud Sequences," 2022, International Journal of Computer Vision

Their coauthors frequently include Sanjay Ranka, Pan He, Tania Banerjee, Jaemoon Lee, and Xiaohui Huang, indicating a collaborative research environment spanning multiple specializations.

Rangarajan commonly publishes in venues such as:

  • arXiv (Cornell University)
  • Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems
  • IEEE Transactions on Intelligent Transportation Systems
  • Applied Sciences
  • Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems

Best Publications

  • A new point matching algorithm for non-rigid registration

    Haili Chui;Anand Rangarajan

  • A graduated assignment algorithm for graph matching

    S. Gold;A. Rangarajan

  • The concave-convex procedure

    A. L. Yuille;Anand Rangarajan

  • On the unification of line processes, outlier rejection, and robust statistics with applications in early vision

    Michael J. Black;Anand Rangarajan

  • New algorithms for 2D and 3D point matching: pose estimation and correspondence

    Steven Gold;Anand Rangarajan;Chien-Ping Lu;Suguna Pappu

  • A new algorithm for non-rigid point matching

    Haili Chui;A. Rangarajan

  • The Concave-Convex Procedure (CCCP)

    Alan L Yuille;Anand Rangarajan

  • Image Denoising Using the Higher Order Singular Value Decomposition

    A. Rajwade;A. Rangarajan;A. Banerjee

  • The Softassign Procrustes Matching Algorithm

    Anand Rangarajan;Haili Chui;Fred L. Bookstein

  • Algorithms for advanced packet classification with ternary CAMs

    Karthik Lakshminarayanan;Anand Rangarajan;Srinivasan Venkatachary

  • Bayesian reconstruction of functional images using anatomical information as priors

    G. Gindi;M. Lee;A. Rangarajan;I.G. Zubal

  • A robust point-matching algorithm for autoradiograph alignment

    Anand Rangarajan;Haili Chui;Eric Mjolsness;Suguna Pappu

  • A feature registration framework using mixture models

    H. Chui;A. Rangarajan

  • Rigid point feature registration using mutual information

    Anand Rangarajan;Haili Chui;James S. Duncan

  • New Algorithms for 2D and 3D Point Matching: Pose Estimation and Correspondence

    Steven Gold;Chien-Ping Lu;Anand Rangarajan;Suguna Pappu

  • Oxidative glucose metabolism in rat brain during single forepaw stimulation: a spatially localized 1H[13C] nuclear magnetic resonance study.

    Fahmeed Hyder;Douglas L Rothman;Graeme F Mason;Anand Rangarajan

  • PET Image Reconstruction Using Information Theoretic Anatomical Priors

    S Somayajula;C Panagiotou;A Rangarajan;Quanzheng Li

  • Softmax to Softassign: neural network algorithms for combinatorial optimization

    Steven Gold;Anand Rangarajan

  • A Gaussian Mixture Model Representation of Endmember Variability in Hyperspectral Unmixing.

    Yuan Zhou;Anand Rangarajan;Paul D. Gader

  • Unsupervised learning of an Atlas from unlabeled point-sets

    H. Chui;A. Rangarajan;J. Zhang;C.M. Leonard

  • Bayesian image reconstruction in SPECT using higher order mechanical models as priors

    Soo-Jin Lee;A. Rangarajan;G. Gindi

  • On the unification of line processes

    Michael Black;A. Rangarajan

Frequent Co-Authors

Sanjay Ranka
Sanjay Ranka University of Florida
Baba C. Vemuri
Baba C. Vemuri University of Florida
Eric Mjolsness
Eric Mjolsness University of California, Irvine
James S. Duncan
James S. Duncan Yale University
Paul D. Gader
Paul D. Gader University of Florida
Alan L. Yuille
Alan L. Yuille Johns Hopkins University
Rama Chellappa
Rama Chellappa Johns Hopkins University
Christiana M. Leonard
Christiana M. Leonard University of Florida
Michael J. Black
Michael J. Black Max Planck Institute for Intelligent Systems
Robert T. Schultz
Robert T. Schultz Children's Hospital of Philadelphia

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