World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
35
Citations
8032
World Ranking
11479
National Ranking
4716

Richard J. Hathaway 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 Richard J. Hathaway 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: 71 publications — 2nd percentile

2% of scientists in this discipline score the same or lower.

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

Richard J. Hathaway 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 Richard J. Hathaway 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

Richard J. Hathaway is affiliated with Georgia Southern University in the United States. Their research is primarily situated within the field of Computer Science, with a particular focus on Computer Vision and Pattern Recognition as well as Artificial Intelligence.

Their recent scholarly contributions include publications on advanced data visualization and clustering algorithms. Specifically, these works are centered on image processing techniques and analytical methods for labeled data.

  • Diagonally Colorized iVAT Images for Labeled Data, 2022, 2022 IEEE International Conference on Data Mining Workshops (ICDMW)
  • Colorized iVAT Images for Labeled Data, 2023, Advances in Science Technology and Engineering Systems Journal

Frequent collaboration is evident with Elizabeth D. Hathaway, who appears as a co-author on the most recent papers authored by Richard J. Hathaway.

  • Elizabeth D. Hathaway

The scientist has published in venues including:

  • 2022 IEEE International Conference on Data Mining Workshops (ICDMW)
  • Advances in Science Technology and Engineering Systems Journal

Research topics explored by Richard J. Hathaway include:

  • Advanced Clustering Algorithms Research
  • Data Visualization and Analytics
  • Image Retrieval and Classification Techniques

Their work encompasses developing and applying new image visualization methods that improve the interpretability of data clustering outcomes. These methods contribute to the broader fields of image retrieval and classification by enhancing the ways labeled data are represented and analyzed.

Best Publications

  • Switching regression models and fuzzy clustering

    R.J. Hathaway;J.C. Bezdek

  • Convergence theory for fuzzy c-means: Counterexamples and repairs

    J. C. Bezdek;R. J. Hathaway;M. J. Sabin;W. T. Tucker

  • Fuzzy c-means clustering of incomplete data

    R.J. Hathaway;J.C. Bezdek

  • Convergence of alternating optimization

    James C. Bezdek;Richard J. Hathaway

  • VAT: a tool for visual assessment of (cluster) tendency

    J.C. Bezdek;R.J. Hathaway

  • Relational duals of the c-means clustering algorithms

    Richard J. Hathaway;John W. Davenport;James C. Bezdek

  • Nerf c-means: Non-Euclidean relational fuzzy clustering

    Richard J. Hathaway;James C. Bezdek

  • Generalized fuzzy c-means clustering strategies using L/sub p/ norm distances

    R.J. Hathaway;J.C. Bezdek;Yingkang Hu

  • Some Notes on Alternating Optimization

    James C. Bezdek;Richard J. Hathaway

  • Another interpretation of the EM algorithm for mixture distributions

    Richard J. Hathaway

  • Optimization of clustering criteria by reformulation

    R.J. Hathaway;J.C. Bezdek

  • Recent convergence results for the fuzzy c-means clustering algorithms

    Richard J. Hathaway;James C. Bezdek

  • Local convergence analysis of a grouped variable version of coordinate descent

    J. C. Bezdek;R. J. Hathaway;R. E. Howard;C. A. Wilson

  • A parametric model for fusing heterogeneous fuzzy data

    R.J. Hathaway;J.C. Bezdek;W. Pedrycz

  • Sequential competitive learning and the fuzzy c -means clustering algorithms

    Nikhil R. Pal;James C. Bezdek;Richard J. Hathaway

  • A constrained EM algorithm for univariate normal mixtures

    Richard J. Hathaway

  • Extending fuzzy and probabilistic clustering to very large data sets

    Richard J. Hathaway;James C. Bezdek

  • Visual Assessment of Clustering Tendency for Rectangular Dissimilarity Matrices

    J.C. Bezdek;R.J. Hathaway;J.M. Huband

  • Optimization of fuzzy clustering criteria using genetic algorithms

    J.C. Bezdek;R.J. Hathaway

  • Scalable visual assessment of cluster tendency for large data sets

    Richard J. Hathaway;James C. Bezdek;Jacalyn M. Huband

Frequent Co-Authors

James C. Bezdek
James C. Bezdek University of Melbourne
Nikhil R. Pal
Nikhil R. Pal Indian Statistical Institute
Witold Pedrycz
Witold Pedrycz University of Alberta
Christopher Leckie
Christopher Leckie University of Melbourne

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 online education opens up a range of flexible options for those interested in Computer Science careers. For individuals looking to jumpstart their careers quickly, short certificate programs that pay well can provide fast, focused training in high-demand tech skills. These certificates are ideal for those seeking immediate entry or advancement in the job market.

For students wanting a broader foundation, pursuing an online associate degree in Computer Science is another great pathway. Associate programs are generally more affordable and can be completed in two years—preparing you for entry-level roles or further studies.

If you already hold a bachelor’s degree, consider one of the fastest online master’s degree programs in technology fields. Accelerated online master's can often be finished in just 12–18 months, allowing you to quickly boost your qualifications and earning potential.

Wondering which programs will best position you for future growth? Research shows that Computer Science ranks highly among which master’s degree is most in demand in usa for strong job prospects and competitive salaries.

Best Scientists Citing Richard J. Hathaway

Trending Scientists

Recently Published Articles