World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
42
Citations
10585
World Ranking
8224
National Ranking
493

Jane Hillston 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 Jane Hillston 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: 244 publications — 61st percentile

61% of scientists in this discipline score the same or lower.

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

Jane Hillston 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 Jane Hillston 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: 42 D-Index — 43rd percentile

43% 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

  • 2018 - Member of Academia Europaea
  • 2007 - Fellow of the Royal Society of Edinburgh

Overview

Jane Hillston is affiliated with the University of Edinburgh in the United Kingdom. Their research contributions span fields including Computer Science and Biochemistry, Genetics, and Molecular Biology. The focus lies notably on topics such as distributed systems and fault tolerance, formal methods in verification, and gene regulatory network analysis.

The main topics covered in their work include:

  • Distributed systems and fault tolerance
  • Formal Methods in Verification
  • Gene Regulatory Network Analysis
  • Blockchain Technology Applications and Security
  • Context-Aware Activity Recognition Systems
  • Cryptography and Data Security
  • Business Process Modeling and Analysis

Their research spans core subfields such as:

  • Computer Networks and Communications
  • Computational Theory and Mathematics
  • Molecular Biology
  • Artificial Intelligence
  • Information Systems

The scientist has several recent publications, including:

  • Parallel Byzantine Consensus Based on Hierarchical Architecture and Trusted Hardware, 2024, IEEE Transactions on Dependable and Secure Computing
  • ParBFT: An Optimized Byzantine Consensus Parallelism Scheme, 2023, IEEE Transactions on Computers
  • Persistent Stochastic Non-Interference, 2021, Fundamenta Informaticae
  • Fluid Approximation-based Analysis for Mode-switching Population Dynamics, 2021, ACM Transactions on Modeling and Computer Simulation
  • Fluid approximation of broadcasting systems, 2020, Theoretical Computer Science

Frequent coauthors collaborating on multiple projects include:

  • Xiao Chen
  • Btissam Er-Rahmadi
  • Tiejun Ma
  • Paul Piho
  • Jacques Fleuriot

The venues that have published their work include:

  • IEEE Transactions on Computers
  • Fundamenta Informaticae
  • IEEE Transactions on Dependable and Secure Computing
  • Theoretical Computer Science
  • ACM Transactions on Modeling and Computer Simulation

Recognition for the scientist includes being named a Fellow of the Royal Society of Edinburgh in 2007 and becoming a Member of Academia Europaea in 2018.

Best Publications

  • A Compositional Approach to Performance Modelling

    Jane Hillston

  • The PEPA workbench: a tool to support a process algebra-based approach to performance modelling

    Stephen Gilmore;Jane Hillston

  • Bio-PEPA: A framework for the modelling and analysis of biological systems

    Federica Ciocchetta;Jane Hillston

  • Fluid flow approximation of PEPA models

    J. Hillston

  • Structural analysis for stochastic process algebra models

    Jie Ding;Jane Hillston

  • Evaluating the Performance of Skeleton-Based High Level Parallel Programs

    Anne Benoit;Murray Cole;Stephen Gilmore;Jane Hillston

  • Modelling the influence of RKIP on the ERK signalling pathway using the stochastic process algebra PEPA

    Muffy Calder;Stephen Gilmore;Jane Hillston

  • Flexible skeletal programming with eskel

    Anne Benoit;Murray Cole;Stephen Gilmore;Jane Hillston

  • Continuous approximation of collective system behaviour: A tutorial

    Luca Bortolussi;Jane Hillston;Diego Latella;Mieke Massink

  • Formal Methods for Performance Evaluation

    Allan Clark;Stephen Gilmore;Jane Hillston;Mirco Tribastone

  • Compositional Markovian Modelling Using a Process Algebra

    Jane Hillston

  • Scalable Differential Analysis of Process Algebra Models

    M. Tribastone;S. Gilmore;J. Hillston

  • The nature of synchronisation

    Jane Hillston

  • An efficient algorithm for aggregating PEPA models

    S. Gilmore;J. Hillston;M. Ribaudo

  • Process algebras for quantitative analysis

    J. Hillston

  • Bio-PEPA: An Extension of the Process Algebra PEPA for Biochemical Networks

    Federica Ciocchetta;Jane Hillston

  • PEPA nets: a structured performance modelling formalism

    Stephen Gilmore;Jane Hillston;Leila Kloul;Marina Ribaudo

  • Fluid model checking

    Luca Bortolussi;Jane Hillston

  • An Efficient Kronecker Representation for PEPA Models

    Jane Hillston;Leïla Kloul

  • Specifying Performance Measures for PEPA

    Graham Clark;Stephen Gilmore;Jane Hillston

  • A comparison of performance evaluation process algebra and generalized stochastic Petri nets

    S. Donatelli;M. Ribaudo;J. Hillston

  • Analysing distributed Internet worm attacks using continuous state-space approximation of process algebra models

    Jeremy T. Bradley;Stephen T. Gilmore;Jane Hillston

Frequent Co-Authors

Stephen Gilmore
Stephen Gilmore University of Edinburgh
Guido Sanguinetti
Guido Sanguinetti International School for Advanced Studies
Holger Hermanns
Holger Hermanns Saarland University
Rocco De Nicola
Rocco De Nicola IMT Institute for Advanced Studies Lucca
David Tollervey
David Tollervey University of Edinburgh
Corrado Priami
Corrado Priami University of Pisa
Peter Ghazal
Peter Ghazal Cardiff University
Markus R. Wenk
Markus R. Wenk Hamad bin Khalifa University
John K. Heath
John K. Heath University of Birmingham
Guanghou Shui
Guanghou Shui Chinese Academy of Sciences

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