World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
75
Citations
70699
World Ranking
1365
National Ranking
712

Robert M. Haralick 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 Robert M. Haralick 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: 503 publications — 93rd percentile

93% of scientists in this discipline score the same or lower.

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

Robert M. Haralick 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 Robert M. Haralick 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: 75 D-Index — 90th percentile

90% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2016 - IAPR King-Sun Fu Prize For contributions in image analysis including remote sensing, texture analysis, mathematical morphology, consistent labeling, and system performance evaluation.
  • 1994 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to computer vision, image processing, and mathematical morphology and service to the IAPR
  • 1984 - IEEE Fellow For contributions in image processing and computer vision

Overview

Robert M. Haralick is affiliated with the City University of New York in the United States. Their research primarily spans the field of Computer Science, with significant contributions in several subfields including Artificial Intelligence, Molecular Biology, Computer Networks and Communications, and Signal Processing.

The scientist's work focuses on key topics such as Neural Networks and Applications, Bayesian Modeling and Causal Inference, Machine Learning in Bioinformatics, Constraint Satisfaction and Optimization, Logic, Reasoning, and Knowledge, and Data Management and Algorithms.

Recent publications by Robert M. Haralick include:

  • The N-Tuple Subspace Classifier: Extensions and Survey, 2020, IEEE Transactions on Systems Man and Cybernetics Systems
  • First-order logic as a constraint satisfaction problem, 2021, Progress in Artificial Intelligence
  • AI Strategy Formulation Across Various Game Genres - A Literature Review, 2024, International Journal of Computer Science and Information Technology

Frequent co-authors include:

  • Ahmet Cem Yuksel
  • Hirohiko Kushida
  • Cheuk Man Chan

Robert M. Haralick's publications appear in journals such as:

  • IEEE Transactions on Systems Man and Cybernetics Systems
  • Progress in Artificial Intelligence
  • International Journal of Computer Science and Information Technology

The scientist has received several industry-recognized awards, including the IAPR King-Sun Fu Prize in 2016 for contributions in image analysis including remote sensing, texture analysis, mathematical morphology, consistent labeling, and system performance evaluation.

They were named a Fellow of the International Association for Pattern Recognition (IAPR) in 1994, recognizing contributions to computer vision, image processing, and mathematical morphology, as well as service to the association.

Additionally, Robert M. Haralick became an IEEE Fellow in 1984 for contributions in image processing and computer vision.

Best Publications

  • Textural Features for Image Classification

    Robert M. Haralick;K. Shanmugam;Its'Hak Dinstein

  • Statistical and structural approaches to texture

    R.M. Haralick

  • Image Segmentation Techniques

    Robert M. Haralick;Linda G. Shapiro

  • Image Analysis Using Mathematical Morphology

    Robert M. Haralick;Stanley R. Sternberg;Xinhua Zhuang

  • Increasing tree search efficiency for constraint satisfaction problems

    Robert M. Haralick;Gordon L. Elliott

  • Digital Step Edges from Zero Crossing of Second Directional Derivatives

    Robert M. Haralick

  • Pose estimation from corresponding point data

    R.M. Haralick;H. Joo;C. Lee;X. Zhuang

  • Review and analysis of solutions of the three point perspective pose estimation problem

    Robert M. Haralick;Chung-Nan Lee;Karsten Ottenberg;Michael Nölle

  • Structural Descriptions and Inexact Matching

    Linda G. Shapiro;Robert M. Haralick

  • Feature normalization and likelihood-based similarity measures for image retrieval

    Selim Aksoy;Robert M. Haralick

  • Morphologic edge detection

    J. Lee;R. Haralick;L. Shapiro

  • Ridges and valleys on digital images

    Robert M Haralick

  • Analysis and solutions of the three point perspective pose estimation problem

    R.M. Haralick;D. Lee;K. Ottenburg;M. Nolle

  • The Consistent Labeling Problem: Part II

    Robert M. Haralick;Linda G. Shapiro

  • The Topographic Primal Sketch

    Robert M. Haralick;Layne T. Watson;Thomas J. Laffey

  • A facet model for image data

    Robert M. Haralick;Layne Watson

  • Performance characterization in computer vision

    Robert M. Haralick

  • Edge and region analysis for digital image data

    Robert M. Haralick

  • PROPAGATING COVARIANCE IN COMPUTER VISION

    Robert M. Haralick

  • Global and local document degradation models

    T. Kanungo;R.M. Haralick;I. Phillips

Frequent Co-Authors

Linda G. Shapiro
Linda G. Shapiro University of Washington
Qiang Ji
Qiang Ji Rensselaer Polytechnic Institute
Visvanathan Ramesh
Visvanathan Ramesh Goethe University Frankfurt
Dov Dori
Dov Dori Technion – Israel Institute of Technology
Layne T. Watson
Layne T. Watson Virginia Tech
Edward R. Dougherty
Edward R. Dougherty Texas A&M University
Arun K. Somani
Arun K. Somani Iowa State University
Henry S. Baird
Henry S. Baird Lehigh University
Roe-Hoan Yoon
Roe-Hoan Yoon Virginia Tech
Jenq-Neng Hwang
Jenq-Neng Hwang University of Washington

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