World's Best Scientists 2026 revealed!
Oscar Nierstrasz

Oscar Nierstrasz

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Computer Science
Switzerland
2025

D-Index & Metrics

Computer Science

D-Index
58
Citations
15763
World Ranking
3585
National Ranking
82

Oscar Nierstrasz 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 Oscar Nierstrasz 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: 413 publications — 88th percentile

88% of scientists in this discipline score the same or lower.

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

Oscar Nierstrasz 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 Oscar Nierstrasz 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: 58 D-Index — 75th percentile

75% 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 Switzerland Leader Award
  • 2022 - Research.com Computer Science in Switzerland Leader Award

Overview

Oscar Nierstrasz is affiliated with the University of Bern in Switzerland and has contributed extensively to the field of computer science, with a particular focus on software engineering and related subfields.

The main fields of study covered by their research include:

  • Computer Science

Within this broad field, their work spans several notable subfields, including:

  • Information Systems
  • Signal Processing
  • Software
  • Sociology and Political Science
  • Computer Networks and Communications

Oscar Nierstrasz's research addresses various topics, emphasizing areas such as:

  • Software Engineering Research
  • Advanced Malware Detection Techniques
  • Software Reliability and Analysis Research
  • Software Engineering Techniques and Practices
  • Spam and Phishing Detection
  • Software Testing and Debugging Techniques
  • Web Application Security Vulnerabilities

Recent publications highlight different aspects of these topics, including:

  • "A decade of code comment quality assessment: A systematic literature review" (2022) in the Journal of Systems and Software
  • "Analyzing Module Diversity" (2020) in HAL (Le Centre pour la Communication Scientifique Directe)
  • "What do class comments tell us? An investigation of comment evolution and practices in Pharo Smalltalk" (2021) in Empirical Software Engineering
  • "Interactive Behavior-driven Development: a Low-code Perspective" (2021) in the 2021 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C)
  • "Security Header Fields in HTTP Clients" (2021) in the 2021 IEEE 21st International Conference on Software Quality, Reliability and Security (QRS)

The recurring publication venues where Oscar Nierstrasz's work appears include:

  • arXiv (Cornell University)
  • 2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)
  • Journal of Systems and Software
  • 2021 IEEE 21st International Conference on Software Quality, Reliability and Security (QRS)
  • Empirical Software Engineering

Frequent collaborators contributing to their research efforts include:

  • Mohammad Ghafari
  • Pooja Rani
  • Nataliia Stulova
  • Pascal Gadient
  • Mohammadreza Hazhirpasand

Best Publications

  • Software Engineering for Self-Adaptive Systems : A Second Research Roadmap

    Rogério de Lemos;Holger Giese;Hausi A. Müller;Mary Shaw

  • Regular types for active objects

    Oscar Nierstrasz

  • Context-oriented Programming

    Robert Hirschfeld;Pascal Costanza;Oscar Nierstrasz

  • Object-oriented reengineering patterns

    Oscar Nierstrasz;Serge Demeyer

  • Traits: Composable Units of Behavior

    Nathanael Shärli;Stéphane Ducasse;Oscar Nierstrasz;Andrew Black

  • Finding refactorings via change metrics

    Serge Demeyer;Stéphane Ducasse;Oscar Nierstrasz

  • Traits: A mechanism for fine-grained reuse

    Stéphane Ducasse;Oscar Nierstrasz;Nathanael Schärli;Roel Wuyts

  • Assigning bug reports using a vocabulary-based expertise model of developers

    Dominique Matter;Adrian Kuhn;Oscar Nierstrasz

  • Component-oriented software development

    Oscar Nierstrasz;Simon Gibbs;Dennis Tsichritzis

  • A survey of object-oriented concepts

    Oscar Nierstrasz

  • The story of moose: an agile reengineering environment

    Oscar Nierstrasz;Stéphane Ducasse;Tudor Gǐrba

  • Active objects in hybrid

    O. M. Nierstrasz

  • Research directions in software composition

    Oscar Nierstrasz;Theo Dirk Meijler

  • Component-oriented software technology

    Oscar Nierstrasz;Laurent Dami

  • Pharo by Example

    Andrew P. Black;Stéphane Ducasse;Oscar Nierstrasz;Damien Pollet

  • Object-oriented software composition

    Oscar Nierstrasz;Dennis Tsichritzis

  • Class management for software communities

    Simon Gibbs;Eduardo Casais;Oscar Nierstrasz;X. Pintado

  • A meta-model for language-independent refactoring

    S. Tichelaar;S. Ducasse;S. Demeyer;O. Nierstrasz

  • The effect of object-oriented frameworks on developer productivity

    S. Moser;O. Nierstrasz

  • Requirements for a Composition Language

    Oscar Nierstrasz;Theo Dirk Meijler

  • Object-based models and languages for concurrent systems : ECOOP '94 Workshop on Models and Languages for Coordination of Parallelism and Distribution, Bologna, Italy, July 5, 1994 : proceedings

    Paolo Ciancarini;Oscar Marius Nierstrasz;明憲 米沢

Frequent Co-Authors

Stéphane Ducasse
Stéphane Ducasse University of Lille
Serge Demeyer
Serge Demeyer University of Antwerp
Michele Lanza
Michele Lanza Universita della Svizzera Italiana
Krzysztof Czarnecki
Krzysztof Czarnecki University of Waterloo
Sven Apel
Sven Apel Saarland University
Daniel Weiskopf
Daniel Weiskopf University of Stuttgart
William R. Cook
William R. Cook The University of Texas at Austin
Jon Whittle
Jon Whittle Commonwealth Scientific and Industrial Research Organisation
Gabor Karsai
Gabor Karsai Vanderbilt University

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