World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
7035
World Ranking
8847
National Ranking
350

Daniel Amyot 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 Daniel Amyot 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: 264 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.

Daniel Amyot 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 Daniel Amyot 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: 41 D-Index — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Overview

Daniel Amyot is affiliated with the University of Ottawa in Canada and has contributed extensively to the field of computer science, with a particular focus on information systems, artificial intelligence, and management information systems. Their research spans various subfields related to software engineering and data-centric systems.

Their publications cover a range of topics, including business process modeling and analysis, advanced software engineering methodologies, blockchain technology applications and security, multi-agent systems and negotiation, big data and business intelligence, artificial intelligence in law, and service-oriented architecture and web services.

Some of the recent papers authored or co-authored by Daniel Amyot include:

  • "A Hitchhiker's Guide to Model-Driven Engineering for Data-Centric Systems" (2020) published in IEEE Software
  • "Specification and analysis of legal contracts with Symboleo" (2022) published in Software & Systems Modeling
  • "Robotic process automation using process mining - A systematic literature review" (2023) published in Data & Knowledge Engineering
  • "Requirements Engineering for Well-Being, Aging, and Health: An Overview for Practitioners" (2021) published in IEEE Software
  • "A Mapping Review on Cyber-Physical Smart Contracts: Architectures, Platforms, and Challenges" (2023) published in IEEE Access

Frequent co-authors contributing alongside Daniel Amyot include John Mylopoulos, Amal Ahmed Anda, Luigi Logrippo, Sofana Alfuhaid, and Alireza Parvizimosaed. These collaborations reflect a strong network of research partnerships in areas related to software systems and legal contracts.

The venues where Daniel Amyot most frequently publishes include:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Software & Systems Modeling
  • IEEE Software
  • Energies

Their academic contributions primarily focus on computer science with significant publications within information systems (23 publications), artificial intelligence (18 publications), and management information systems (17 publications). Other subfields include industrial and manufacturing engineering and management science and operations research.

Main research topics covered by Daniel Amyot's work are:

  • Business Process Modeling and Analysis
  • Advanced Software Engineering Methodologies
  • Blockchain Technology Applications and Security
  • Multi-Agent Systems and Negotiation
  • Big Data and Business Intelligence
  • Artificial Intelligence in Law
  • Service-Oriented Architecture and Web Services

Best Publications

  • Evaluating goal models within the goal-oriented requirement language

    Daniel Amyot;Sepideh Ghanavati;Jennifer Horkoff;Gunter Mussbacher

  • Evaluating goal models within the goal‐oriented requirement language

    Unknown

  • A Globally Optimal k-Anonymity Method for the De-Identification of Health Data

    Khaled El Emam;Khaled El Emam;Fida Kamal Dankar;Romeo Issa;Elizabeth Jonker

  • Introduction to the user requirements notation: learning by example

    Daniel Amyot

  • Analysing the cognitive effectiveness of the BPMN 2.0 visual notation

    Nicolas Genon;Patrick Heymans;Daniel Amyot

  • Strategic business modeling: representation and reasoning

    Jennifer Horkoff;Daniele Barone;Lei Jiang;Eric Yu

  • Business process management with the user requirements notation

    Alireza Pourshahid;Daniel Amyot;Liam Peyton;Sepideh Ghanavati

  • User Requirements Notation: The First Ten Years, The Next Ten Years (Invited Paper)

    Daniel Amyot;Gunter Mussbacher

  • The relevance of model-driven engineering thirty years from now

    Gunter Mussbacher;Daniel Amyot;Ruth Breu;Jean-Michel Bruel

  • Towards a framework for tracking legal compliance in healthcare

    Sepideh Ghanavati;Daniel Amyot;Liam Peyton

  • An evaluation of scenario notations and construction approaches for telecommunication systems development

    Daniel Amyot;Armin Eberlein

  • Recovering behavioral design models from execution traces

    A. Hamou-Lhadj;E. Braun;D. Amyot;T. Lethbridge

  • A Lightweight GRL Profile for i* Modeling

    Daniel Amyot;Jennifer Horkoff;Daniel Gross;Gunter Mussbacher

  • Interactive conflict resolution for personalized policy-based services

    Daniel Amyot;Kathy Baker;Thomas Gray;Ramiro Liscano

  • Business Process Modeling with URN

    Michael Weiss;Daniel Amyot

  • Evaluation of development tools for domain-specific modeling languages

    Daniel Amyot;Hanna Farah;Jean-François Roy

  • Use case maps for the capture and validation of distributed systems requirements

    D. Amyot;L. Logrippo;R.J.A. Buhr;T. Gray

  • URN: towards a new standard for the visual description of requirements

    Daniel Amyot;Gunter Mussbacher

  • Compliance Analysis Based on a Goal-oriented Requirement Language Evaluation Methodology

    Sepideh Ghanavati;Daniel Amyot;Liam Peyton

  • Towards integrated tool support for the user requirements notation

    Jean-François Roy;Jason Kealey;Daniel Amyot

  • Feature Description and Feature Interaction Analysis with Use Case Maps and LOTOS

    D. Amyot

Frequent Co-Authors

John Mylopoulos
John Mylopoulos University of Ottawa
Jon Whittle
Jon Whittle Commonwealth Scientific and Industrial Research Organisation
Khaled El Emam
Khaled El Emam University of Ottawa
Timothy C. Lethbridge
Timothy C. Lethbridge University of Ottawa
Eric Yu
Eric Yu University of Toronto
Patrick Heymans
Patrick Heymans University of Namur
Walid Maalej
Walid Maalej Hasso Plattner Institute
Murray Woodside
Murray Woodside Carleton University
Anna Perini
Anna Perini Fondazione Bruno Kessler
Dorina C. Petriu
Dorina C. Petriu Carleton University

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