World's Best Scientists 2026 revealed!
William J. Knottenbelt

William J. Knottenbelt

D-Index & Metrics

Computer Science

D-Index
34
Citations
5490
World Ranking
12106
National Ranking
763

William J. Knottenbelt 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 William J. Knottenbelt 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: 172 publications — 35th percentile

35% of scientists in this discipline score the same or lower.

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

William J. Knottenbelt 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 William J. Knottenbelt 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: 34 D-Index — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Overview

William J. Knottenbelt is affiliated with Imperial College London in the United Kingdom and has contributed extensively to research in various fields related to computer science and finance. Their body of work spans the domains of blockchain technology, cryptography, artificial intelligence, and financial modeling.

The scientist's research output includes numerous recent papers that reflect interdisciplinary interests. Notable publications include:

  • DeFi Protocols for Loanable Funds: Interest Rates, Liquidity and Market Efficiency, 2020, arXiv (Cornell University)
  • Defending Against Poisoning Attacks in Federated Learning With Blockchain, 2024, IEEE Transactions on Artificial Intelligence
  • zkFL: Zero-Knowledge Proof-Based Gradient Aggregation for Federated Learning, 2024, IEEE Transactions on Big Data
  • SoK: Privacy-Enhancing Technologies in Finance, 2023, Dagstuhl Research Online Publication Server

Frequent co-authors collaborating with William J. Knottenbelt include:

  • Xihan Xiong
  • Zhipeng Wang
  • Padmanaba Srinivasan
  • Jiahao Sun
  • Sam M. Werner

Several publication venues have been repeatedly chosen for dissemination, showing a pattern in the scholar's publication strategy. These venues include:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • 2021 IEEE International Conference on Blockchain and Cryptocurrency (ICBC)
  • ACM SIGMETRICS Performance Evaluation Review
  • Distributed Ledger Technologies Research and Practice

William J. Knottenbelt has contributed to the academic literature with a book published by Springer International Publishing titled Mathematical Research for Blockchain Economy (2023).

The scientist's research fields cover both broad and specialized areas. Main fields of study include:

  • Computer Science
  • Economics, Econometrics and Finance

Within these, specific subfields are notable, including:

  • Artificial Intelligence
  • Information Systems
  • Economics and Econometrics
  • Finance
  • Management Information Systems

The main topics addressed in their work encompass a range of applications and theoretical issues, such as:

  • Blockchain Technology Applications and Security
  • Cryptography and Data Security
  • Market Dynamics and Volatility
  • Financial Risk and Volatility Modeling
  • Privacy-Preserving Technologies in Data
  • FinTech, Crowdfunding, Digital Finance
  • Complex Systems and Time Series Analysis

Best Publications

  • The UK-DALE dataset, domestic appliance-level electricity demand and whole-house demand from five UK homes.

    Jack Kelly;William Knottenbelt

  • NILMTK: an open source toolkit for non-intrusive load monitoring

    Nipun Batra;Jack Kelly;Oliver Parson;Haimonti Dutta

  • The UK-DALE dataset, domestic appliance-level electricity demand and whole-house demand from five UK homes

    Jack Kelly;William Knottenbelt

  • Neural NILM: Deep Neural Networks Applied to Energy Disaggregation

    Jack Kelly;William Knottenbelt

  • Neural NILM: Deep Neural Networks Applied to Energy Disaggregation

    Jack Kelly;William Knottenbelt

  • PIPE2: a tool for the performance evaluation of generalised stochastic Petri Nets

    Nicholas J. Dingle;William J. Knottenbelt;Tamas Suto

  • XCLAIM: Trustless, Interoperable, Cryptocurrency-Backed Assets

    Alexei Zamyatin;Dominik Harz;Joshua Lind;Panayiotis Panayiotou

  • SoK: communication across distributed ledgers.

    Alexei Zamyatin;Mustafa Al-Bassam;Dionysis Zindros;Eleftherios Kokoris-Kogias;Eleftherios Kokoris-Kogias

  • Dataport and NILMTK: A building data set designed for non-intrusive load monitoring

    Oliver Parson;Grant Fisher;April Hersey;Nipun Batra

  • Visualizing Dynamic Bitcoin Transaction Patterns

    Dan McGinn;David Birch;David Akroyd;Miguel Molina-Solana

  • An Efficient Application Partitioning Algorithm in Mobile Environments

    Huaming Wu;William J. Knottenbelt;Katinka Wolter

  • PIPE v2. 5: A Petri net tool for performance modelling

    William Knottenbelt

  • Parallel multilevel algorithms for hypergraph partitioning

    Aleksandar Trifunović;William J. Knottenbelt

  • Passage time distributions in large Markov chains

    Peter G. Harrison;William J. Knottenbelt

  • A Wild Velvet Fork Appears! Inclusive Blockchain Protocol Changes in Practice

    Alexei Zamyatin;Nicholas Stifter;Aljosha Judmayer;Philipp Schindler

  • Generalised Markovian analysis of timed transition systems

    William John Knottenbelt

  • Towards Safer Smart Contracts: A Survey of Languages and Verification Methods

    Dominik Harz;William J. Knottenbelt

  • Parkway 2.0: A Parallel Multilevel Hypergraph Partitioning Tool

    Aleksandar Trifunovic;William J. Knottenbelt

  • Derivation of passage-time densities in PEPA models using ipc: the imperial PEPA compiler

    J.T. Bradley;N.J. Dingle;S.T. Gilmore;W.J. Knottenbelt

  • Performance Evaluation of NoSQL Databases

    Andrea Gandini;Marco Gribaudo;William J. Knottenbelt;Rasha Osman

  • CloudScope: Diagnosing and Managing Performance Interference in Multi-tenant Clouds

    Xi Chen;Lukas Rupprecht;Rasha Osman;Peter Pietzuch

  • Response Time Approximations in Fork-Join Queues

    A Lebrecht;W Knottenbelt

  • Committing to quantum resistance: a slow defence for Bitcoin against a fast quantum computing attack.

    I. Stewart;D. Ilie;A. Zamyatin;S. Werner

  • Does disaggregated electricity feedback reduce domestic electricity consumption? A systematic review of the literature

    Jack Kelly;William J. Knottenbelt

Frequent Co-Authors

Alex Rogers
Alex Rogers University of Oxford
Mani Srivastava
Mani Srivastava University of California, Los Angeles
Edgar R. Weippl
Edgar R. Weippl University of Vienna
Yike Guo
Yike Guo Hong Kong Baptist University
Laurence T. Yang
Laurence T. Yang St. Francis Xavier University
Stephen Gilmore
Stephen Gilmore University of Edinburgh
Cheng-Zhong Xu
Cheng-Zhong Xu University of Macau
Aggelos Kiayias
Aggelos Kiayias University of Edinburgh
Geyong Min
Geyong Min University of Exeter
Xiaobo Zhou
Xiaobo Zhou The University of Texas Health Science Center at Houston

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 your options in computer science? There are several pathways to fit different goals and starting points. Many students wonder, what masters program should I do for the best career outcomes. Specializations like Artificial Intelligence, Data Science, or Software Engineering are in high demand and can lead to lucrative roles.

For those beginning their journey, earning an associate degree online is an affordable and flexible way to start building technical skills. These programs often offer seamless transfer options to bachelor’s degrees.

Cost is a major factor for many learners. Thankfully, there are cheap online colleges that provide quality education without straining your budget. This makes a career in technology more accessible than ever.

Not everyone has a perfect academic record. Luckily, you’ll find universities for low gpa applicants, ensuring that your passion and perseverance matter just as much as your grades.

Best Scientists Citing William J. Knottenbelt

Trending Scientists

Recently Published Articles