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Computer Science
Canada
2025

D-Index & Metrics

Computer Science

D-Index
63
Citations
19220
World Ranking
2722
National Ranking
101

Eric Yu 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 Eric Yu 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: 290 publications — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Eric Yu 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 Eric Yu 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: 63 D-Index — 81st percentile

81% 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

  • 2025 - Research.com Computer Science in Canada Leader Award
  • 2022 - Research.com Computer Science in Canada Leader Award

Overview

Eric Yu is affiliated with the University of Toronto in Canada and has a multidisciplinary research profile spanning Medicine and Computer Science. Their work intersects several subfields, including Information Systems, Management Information Systems, Oncology, Pathology and Forensic Medicine, and Management Science and Operations Research.

They have contributed to a range of topics, prominently including:

  • CAR-T cell therapy research
  • Lymphoma Diagnosis and Treatment
  • Big Data and Business Intelligence
  • Data Quality and Management
  • Advanced Software Engineering Methodologies
  • Service-Oriented Architecture and Web Services
  • Software Engineering Research

Eric Yu's recent publications demonstrate a balance between healthcare-related topics and software engineering perspectives, highlighting a focus on requirements engineering within health domains. Selected recent papers include:

  • Modeling machine learning requirements from three perspectives: a case report from the healthcare domain (2021), published in Requirements Engineering
  • Requirements Engineering for Well-Being, Aging, and Health: An Overview for Practitioners (2021), published in IEEE Software
  • Transformer models for mining intents and predicting activities from emails in knowledge-intensive processes (2023), published in Engineering Applications of Artificial Intelligence
  • Sustaining human health: A requirements engineering perspective (2023), published in Journal of Systems and Software
  • RAPID: a knowledge-based assistant for designing web APIs (2021), published in Requirements Engineering

The venues hosting their work reflect this interdisciplinary reach, with multiple publications in Requirements Engineering, as well as contributions to Blood, Clinical Lymphoma Myeloma & Leukemia, IEEE Software, and Engineering Applications of Artificial Intelligence.

Eric Yu frequently collaborates with a core group of researchers, including Melhem Solh, Brian T. Hess, Pier Luigi Zinzani, John Radford, and Mehdi Hamadani, each with multiple joint publications, indicating sustained research partnerships.

In addition to articles, Eric Yu has published at least one book titled Advanced Information Systems Engineering (2020) through Springer Science+Business Media.

This broad research activity blends a focus on advanced methodologies in software engineering with direct applications in medical research, particularly within oncology and therapeutic treatments.

Best Publications

  • Towards modelling and reasoning support for early-phase requirements engineering

    E.S.K. Yu

  • Modelling strategic relationships for process reengineering

    John Mylopoulos;Eric Siu-Kwong Yu

  • Non-Functional Requirements in Software Engineering

    Unknown

  • From object-oriented to goal-oriented requirements analysis

    John Mylopoulos;Lawrence Chung;Eric Yu

  • Security and privacy requirements analysis within a social setting

    L. Liu;E. Yu;J. Mylopoulos

  • Understanding “why” in software process modelling, analysis, and design

    Eric S. K. Yu;John Mylopoulos

  • Social Modeling for Requirements Engineering

    Eric Yu;Paolo Giorgini;Neil Maiden;John Mylopoulos

  • Ontologies for Knowledge Management: An Information Systems Perspective

    Igor Jurisica;John Mylopoulos;Eric Yu

  • From Non-Functional Requirements to Design through Patterns

    Daniel Gross;Eric S. K. Yu

  • 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

  • Conceptual Modeling: Foundations and Applications

    Alexander T. Borgida;Vinay K. Chaudhri;Paolo Giorgini;Eric S. Yu

  • Modeling organizations for information systems requirements engineering

    E.S.K. Yu

  • E-service design using i* and e/sup 3/ value modeling

    J. Gordijn;E. Yu;B. van der Raadt

  • FROM E-R TO “A-R” — MODELLING STRATEGIC ACTOR RELATIONSHIPS FOR BUSINESS PROCESS REENGINEERING

    Eric S.K. Yu;John Mylopoulos

  • Using Goals, Rules and Methods to Support Reasoning in Business Process Reengineering

    Eric S. K. Yu;John Mylopoulus

  • Why Goal-Oriented Requirements Engineering.

    Eric S. K. Yu;John Mylopoulos

  • Exploring alternatives during requirements analysis

    J. Mylopoulos;L. Chung;S. Liao;H. Wang

  • Designing information systems in social context: a goal and scenario modelling approach

    Lin Liu;Eric Yu

  • Social Modeling and i

    Eric S. Yu

  • Modelling trust for system design using the i* strategic actors framework

    Eric Yu;Lin Liu

  • Using Ontologies for Knowledge Management: An Information Systems Perspective.

    Igor Jurisica;John Mylopoulos;Eric Yu

  • Understanding "Why" in Software Process Modelling, Analysis, and Design (Research Paper)

    Eric S. K. Yu;John Mylopoulos

Frequent Co-Authors

John Mylopoulos
John Mylopoulos University of Ottawa
Lin Liu
Lin Liu Chinese Academy of Sciences
Paolo Giorgini
Paolo Giorgini University of Trento
Neil Maiden
Neil Maiden City, University of London
Lawrence Chung
Lawrence Chung The University of Texas at Dallas
Colette Rolland
Colette Rolland Pantheon-Sorbonne University
Alexander Borgida
Alexander Borgida Rutgers, The State University of New Jersey
Daniel Amyot
Daniel Amyot University of Ottawa
Steve Easterbrook
Steve Easterbrook University of Toronto
Yijun Yu
Yijun Yu The Open University

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