World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
52
Citations
9925
World Ranking
5122
National Ranking
36

Edwin Lughofer 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 Edwin Lughofer 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 279 publications — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Edwin Lughofer 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 Edwin Lughofer sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 52 D-Index — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Overview

Edwin Lughofer is affiliated with Johannes Kepler University of Linz in Austria. Their research spans multiple fields within computer science and engineering, with a focus on areas involving artificial intelligence and control systems.

Their scholarly contributions include numerous publications in prominent venues such as:

  • Information Sciences
  • arXiv (Cornell University)
  • Fuzzy Sets and Systems
  • Soft Computing
  • Applied Soft Computing

The primary fields of study in which Lughofer is active are computer science and engineering. Within these fields, their work extensively covers these subfields:

  • Artificial Intelligence
  • Control and Systems Engineering
  • Computer Vision and Pattern Recognition
  • Management Science and Operations Research
  • Biomedical Engineering

Lughofer's research topics primarily involve:

  • Fuzzy Logic and Control Systems
  • Data Stream Mining Techniques
  • Neural Networks and Applications
  • Fault Detection and Control Systems
  • Domain Adaptation and Few-Shot Learning
  • Multimodal Machine Learning Applications
  • Machine Learning and Extreme Learning Machines (ELM)

Frequent collaborators include:

  • Paulo Vitor de Campos Souza
  • Mahardhika Pratama
  • Mu-Yen Chen
  • Augusto Júnio Guimarães
  • Igor Škrjanc

Selected recent publications by Edwin Lughofer include:

  • DEVDAN: deep evolving denoising autoencoder, 2020, UniSA Research Outputs Repository (University of South Australia)
  • Adapting H-infinity controller for the desired reference tracking of the sphere position in the maglev process, 2021, Information Sciences
  • PAC: a novel self-adaptive neuro-fuzzy controller for micro aerial vehicles, 2020, UniSA Research Outputs Repository (University of South Australia)
  • New aggregation operators on group-based generalized intuitionistic fuzzy soft sets, 2021, Soft Computing
  • An evolving neuro-fuzzy system based on uni-nullneurons with advanced interpretability capabilities, 2021, Neurocomputing

Best Publications

  • Evolving Fuzzy Systems - Methodologies, Advanced Concepts and Applications

    Edwin Lughofer

  • Central Moment Discrepancy (CMD) for Domain-Invariant Representation Learning

    Werner Zellinger;Thomas Grubinger;Edwin Lughofer;Thomas Natschläger

  • FLEXFIS: A Robust Incremental Learning Approach for Evolving Takagi–Sugeno Fuzzy Models

    E.D. Lughofer

  • Evolving fuzzy and neuro-fuzzy approaches in clustering, regression, identification, and classification: A Survey

    Igor Skrjanc;José Antonio Iglesias;Araceli Sanchis;Daniel F. Leite

  • PANFIS: A Novel Incremental Learning Machine

    Mahardhika Pratama;Sreenatha G. Anavatti;Plamen P. Angelov;Edwin Lughofer

  • Evolving fuzzy classifiers using different model architectures

    P. Angelov;E. Lughofer;X. Zhou

  • Handling drifts and shifts in on-line data streams with evolving fuzzy systems

    E. Lughofer;P. Angelov

  • Extensions of vector quantization for incremental clustering

    Edwin Lughofer

  • GENEFIS: Toward an Effective Localist Network

    Mahardhika Pratama;Sreenatha G. Anavatti;Edwin Lughofer

  • Learning in Non-Stationary Environments: Methods and Applications

    Moamar Sayed-Mouchaweh;Edwin Lughofer

  • Generalized smart evolving fuzzy systems

    Edwin Lughofer;Carlos Cernuda;Stefan Kindermann;Mahardhika Pratama

  • An Incremental Learning of Concept Drifts Using Evolving Type-2 Recurrent Fuzzy Neural Networks

    Mahardhika Pratama;Jie Lu;Edwin Lughofer;Guangquan Zhang

  • On-line assurance of interpretability criteria in evolving fuzzy systems – Achievements, new concepts and open issues

    Edwin Lughofer

  • Single-pass active learning with conflict and ignorance

    Edwin Lughofer

  • Learning in Non-Stationary Environments

    Moamar Sayed-Mouchaweh;Edwin Lughofer

  • pClass: An Effective Classifier for Streaming Examples

    Mahardhika Pratama;Sreenatha G. Anavatti;Meng Joo;Edwin David Lughofer

  • Autonomous data stream clustering implementing split-and-merge concepts - Towards a plug-and-play approach

    Edwin Lughofer;Moamar Sayed-Mouchaweh

  • Hybrid active learning for reducing the annotation effort of operators in classification systems

    Edwin Lughofer

  • On-line elimination of local redundancies in evolving fuzzy systems

    Edwin Lughofer;Jean-Luc Bouchot;Ammar Shaker

  • Evolving Ensemble Fuzzy Classifier

    Mahardhika Pratama;Witold Pedrycz;Edwin Lughofer

  • Residual-based fault detection using soft computing techniques for condition monitoring at rolling mills

    Francisco Serdio;Edwin Lughofer;Kurt Pichler;Thomas Buchegger

Frequent Co-Authors

Mahardhika Pratama
Mahardhika Pratama University of South Australia
Plamen Angelov
Plamen Angelov Lancaster University
Igor Škrjanc
Igor Škrjanc University of Ljubljana
José de Jesús Rubio
José de Jesús Rubio Instituto Politécnico Nacional
Jie Lu
Jie Lu University of Technology Sydney
Meng Joo Er
Meng Joo Er Dalian Maritime University
Yew-Soon Ong
Yew-Soon Ong Nanyang Technological University
Chee Peng Lim
Chee Peng Lim Swinburne University of Technology
Witold Pedrycz
Witold Pedrycz University of Alberta

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

If you’re exploring Computer Science studies in the USA, you may also want to consider other high-demand fields available online. Many students are seeking specialized programs such as an online master's degree cyber security for advanced roles in digital protection and threat analysis.

Beyond the tech sphere, fields like construction management are growing. Professionals interested in project leadership may find value in accredited construction degrees, which often integrate both technical and managerial coursework.

If your interests align with public safety and law, cost-effective options for a criminal justice degree price make this career path more accessible than ever before.

Finally, for those inclined towards finance and business, earning an accounting degree online can open doors to careers in auditing, tax, and corporate finance. These flexible online options help students balance learning with real-world obligations.

Best Scientists Citing Edwin Lughofer

Trending Scientists

Recently Published Articles