World's Best Scientists 2026 revealed!
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Computer Science
New Zealand
2026

D-Index & Metrics

Computer Science

D-Index
56
Citations
23661
World Ranking
3955
National Ranking
9

Albert Bifet 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 Albert Bifet 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: 265 publications — 66th percentile

66% of scientists in this discipline score the same or lower.

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

Albert Bifet 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 Albert Bifet 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: 56 D-Index — 72nd percentile

72% 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

  • 2026 - Research.com Computer Science in New Zealand Leader Award
  • 2025 - Research.com Computer Science in New Zealand Leader Award

Overview

Albert Bifet is affiliated with the University of Waikato in New Zealand and has contributed extensively to the field of Computer Science, with a particular focus on Artificial Intelligence and related subfields.

The main areas of study in Bifet's research include:

  • Artificial Intelligence
  • Signal Processing
  • Computer Networks and Communications
  • Management Science and Operations Research
  • Information Systems

Bifet's work covers several key topics in the domain of data mining and machine learning. These topics include:

  • Data Stream Mining Techniques
  • Machine Learning and Data Classification
  • Anomaly Detection Techniques and Applications
  • Time Series Analysis and Forecasting
  • Network Security and Intrusion Detection
  • Imbalanced Data Classification Techniques
  • Advanced Bandit Algorithms Research

The scientist has co-authored papers with several frequent collaborators, notably:

  • Bernhard Pfahringer
  • Heitor Murilo Gomes
  • Guilherme Weigert Cassales
  • Maroua Bahri
  • Jacob Montiel

Key publication venues where Bifet regularly appears include:

  • arXiv (Cornell University)
  • Data Mining and Knowledge Discovery
  • SSRN Electronic Journal
  • Machine Learning
  • Expert Systems with Applications

Among recent papers authored or co-authored by Bifet are:

  • River: machine learning for streaming data in Python, 2020, arXiv (Cornell University)
  • Data stream analysis: Foundations, major tasks and tools, 2021, Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery
  • A Survey on Semi-supervised Learning for Delayed Partially Labelled Data Streams, 2022, ACM Computing Surveys
  • STUDD: a student-teacher method for unsupervised concept drift detection, 2022, Machine Learning
  • Binding data mining and expert knowledge for one-day-ahead prediction of hourly global solar radiation, 2020, Expert Systems with Applications

Bifet also has a book publication titled Advances in Knowledge Discovery and Data Mining released in 2022 under Springer Science+Business Media.

Best Publications

  • A survey on concept drift adaptation

    João Gama;Indrė Žliobaitė;Albert Bifet;Mykola Pechenizkiy

  • Learning from Time-Changing Data with Adaptive Windowing

    Albert Bifet;Ricard Gavaldà

  • MOA: Massive Online Analysis, a framework for stream classification and clustering.

    Albert Bifet;Geoffrey Holmes;Bernhard Pfahringer;Philipp Kranen

  • MOA: Massive Online Analysis

    Albert Bifet;Geoff Holmes;Richard Kirkby;Bernhard Pfahringer

  • Mining big data: current status, and forecast to the future

    Wei Fan;Albert Bifet

  • Sentiment knowledge discovery in twitter streaming data

    Albert Bifet;Eibe Frank

  • Adaptive random forests for evolving data stream classification

    Heitor M. Gomes;Albert Bifet;Jesse Read;Jean Paul Barddal

  • New ensemble methods for evolving data streams

    Albert Bifet;Geoff Holmes;Bernhard Pfahringer;Richard Kirkby

  • Early Drift Detection Method

    Manuel Baena-Garc;Jose del Campo ¶ Avila;Albert Bifet;Ricard Gavald

  • A Survey on Ensemble Learning for Data Stream Classification

    Heitor Murilo Gomes;Jean Paul Barddal;Fabrício Enembreck;Albert Bifet

  • Adaptive Learning from Evolving Data Streams

    Albert Bifet;Ricard Gavaldà

  • Active Learning With Drifting Streaming Data

    Indre Zliobaite;Albert Bifet;Bernhard Pfahringer;Geoffrey Holmes

  • Leveraging bagging for evolving data streams

    Albert Bifet;Geoff Holmes;Bernhard Pfahringer

  • Scikit-Multiflow: A Multi-output Streaming Framework

    Jacob Montiel;Jesse Read;Albert Bifet;Talel Abdessalem

  • DATA STREAM MINING A Practical Approach

    Albert Bifet;Richard Kirkby

  • Machine learning for streaming data: state of the art, challenges, and opportunities

    Heitor Murilo Gomes;Jesse Read;Albert Bifet;Jean Paul Barddal

  • Spiking Neural Networks and online learning: An overview and perspectives

    Jesus L. Lobo;Javier Del Ser;Albert Bifet;Nikola K. Kasabov

  • Machine Learning for Data Streams: With Practical Examples in Moa

    Albert Bifet;Ricard Gavaldà;Geoff Holmes;Bernhard Pfahringer

  • Efficient Online Evaluation of Big Data Stream Classifiers

    Albert Bifet;Gianmarco de Francisci Morales;Jesse Read;Geoff Holmes

  • SAMOA: scalable advanced massive online analysis

    Gianmarco De Francisci Morales;Albert Bifet

  • Mining Big Data in Real Time

    Albert Bifet

Frequent Co-Authors

Bernhard Pfahringer
Bernhard Pfahringer University of Waikato
Jesse Read
Jesse Read École Polytechnique
Ricard Gavaldà
Ricard Gavaldà Universitat Politècnica de Catalunya
João Gama
João Gama University of Porto
Geoffrey Holmes
Geoffrey Holmes University of Waikato
Wei Fan
Wei Fan Tencent (China)
Eibe Frank
Eibe Frank University of Waikato
Thomas Seidl
Thomas Seidl Ludwig-Maximilians-Universität München
Xiaohong Guan
Xiaohong Guan Xi'an Jiaotong University
Eduard Ayguadé
Eduard Ayguadé Barcelona Supercomputing Center

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