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Computer Science
New Zealand
2025

D-Index & Metrics

Computer Science

D-Index
88
Citations
163678
World Ranking
652
National Ranking
1

Ian H. Witten 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 Ian H. Witten 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: 548 publications — 95th percentile

95% of scientists in this discipline score the same or lower.

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

Ian H. Witten 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 Ian H. Witten 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: 88 D-Index — 95th percentile

95% 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

  • 2025 - Research.com Computer Science in New Zealand Leader Award
  • 2023 - Research.com Computer Science in New Zealand Leader Award
  • 2022 - Research.com Computer Science in New Zealand Leader Award
  • 1997 - Fellow of the Royal Society of New Zealand
  • 1996 - ACM Fellow For contributions to the study of how past behavior can expedite future interaction, in particular adaptive data compression, programming by demonstration, and machine learning.

Overview

Ian H. Witten was a researcher affiliated with the University of Waikato in New Zealand. Their academic career involved contributing to multiple fields of study, primarily within computer science, social sciences, and the arts and humanities.

Their main areas of research included artificial intelligence, information systems, sociology and political science, computer science applications, and literature and literary theory. The variety of these subfields reflected a multidisciplinary approach to their scholarly work.

Among the specific topics Ian H. Witten worked on were natural language processing techniques, misinformation and its impacts, information retrieval and search behavior, web visibility and informetrics, online learning and analytics, text readability and simplification, and digital humanities and scholarship.

Their publication record featured contributions to Research Commons at the University of Waikato. Notably, one of their recent papers was titled "Searching... in a Web", published in 2020 by Research Commons (University of Waikato), which has received citations within the academic community.

  • Christopher Pal
  • James R. Foulds
  • Eibe Frank
  • Mark A. Hall

Throughout their career, Ian H. Witten published multiple works in the Research Commons at the University of Waikato and collaborated frequently with a set of co-authors. These collaborations included researchers such as Christopher Pal, James R. Foulds, Eibe Frank, and Mark A. Hall.

The researcher received formal recognition in their field, being named a Fellow of the Royal Society of New Zealand in 1997. They were also designated an ACM Fellow in 1996 for their contributions to the study of behavioral patterns facilitating future interactions, particularly in adaptive data compression, programming by demonstration, and machine learning.

Best Publications

  • Data mining: practical machine learning tools and techniques with Java implementations

    Ian H. Witten;Eibe Frank

  • Data Mining: Practical Machine Learning Tools and Techniques

    Ian H. Witten;Eibe Frank;Mark A. Hall

  • The WEKA data mining software: an update

    Mark Hall;Eibe Frank;Geoffrey Holmes;Bernhard Pfahringer

  • Arithmetic coding for data compression

    Ian H. Witten;Radford M. Neal;John G. Cleary

  • Managing Gigabytes: Compressing and Indexing Documents and Images

    I.H. Witten;A. Moffat;T.C. Bell

  • Text Compression

    Timothy C. Bell;John G. Cleary;Ian H. Witten

  • Generating Accurate Rule Sets Without Global Optimization

    Eibe Frank;Ian H. Witten

  • Data Compression Using Adaptive Coding and Partial String Matching

    J. Cleary;I. Witten

  • Learning to link with wikipedia

    David Milne;Ian H. Witten

  • Induction of model trees for predicting continuous classes

    Yong Wang;Ian H. Witten

  • WEKA: a machine learning workbench

    G. Holmes;A. Donkin;I.H. Witten

  • KEA: practical automatic keyphrase extraction

    Ian H. Witten;Gordon W. Paynter;Eibe Frank;Carl Gutwin

  • Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)

    Ian H. Witten;Eibe Frank

  • Data mining in bioinformatics using Weka

    Eibe Frank;Mark Hall;Len Trigg;Geoffrey Holmes

  • Managing gigabytes (2nd ed.): compressing and indexing documents and images

    Ian H. Witten;Alistair Moffat;Timothy C. Bell

  • The zero-frequency problem: estimating the probabilities of novel events in adaptive text compression

    I.H. Witten;T.C. Bell

  • An effective, low-cost measure of semantic relatedness obtained from Wikipedia links

    David Milne;Ian H. Witten

  • Issues in stacked generalization

    Kai Ming Ting;Ian H. Witten

  • Domain-specific keyphrase extraction

    Eibe Frank;Gordon W. Paynter;Ian H. Witten;Carl Gutwin

  • Weka: Practical machine learning tools and techniques with Java implementations

    Ian H. Witten;Eibe Frank;Leonard E. Trigg;Mark A. Hall

  • Arithmetic coding revisited

    Alistair Moffat;Radford M. Neal;Ian H. Witten

Frequent Co-Authors

Eibe Frank
Eibe Frank University of Waikato
Tim Bell
Tim Bell University of Canterbury
Alistair Moffat
Alistair Moffat University of Melbourne
Saul Greenberg
Saul Greenberg University of Calgary
Harold Thimbleby
Harold Thimbleby Swansea University
Chris Pal
Chris Pal Polytechnique Montréal
Marco Gori
Marco Gori University of Siena
Geoffrey Holmes
Geoffrey Holmes University of Waikato
Matt Jones
Matt Jones Swansea University
Radford M. Neal
Radford M. Neal University of Toronto

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