World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
6352
World Ranking
9341
National Ranking
461

Thorsten Berger 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 Thorsten Berger 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: 173 publications — 36th percentile

36% of scientists in this discipline score the same or lower.

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

Thorsten Berger 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 Thorsten Berger 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: 40 D-Index — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Overview

Thorsten Berger is affiliated with Ruhr University Bochum in Germany. Their research spans several interconnected areas within Computer Science, with a strong focus on Software Engineering.

The main fields of study include:

  • Computer Science

Within this broad field, their work emphasizes subfields such as:

  • Information Systems
  • Artificial Intelligence
  • Software
  • Computer Networks and Communications
  • Hardware and Architecture

Thorsten Berger's research addresses numerous topics, including:

  • Advanced Software Engineering Methodologies
  • Software Engineering Research
  • Software Engineering Techniques and Practices
  • Software Testing and Debugging Techniques
  • Model-Driven Software Engineering Techniques
  • Software System Performance and Reliability
  • Service-Oriented Architecture and Web Services

Their recent publications reflect these interests. Selected papers include:

  • The state of adoption and the challenges of systematic variability management in industry (2020), Empirical Software Engineering
  • Behavior Trees and State Machines in Robotics Applications (2023), IEEE Transactions on Software Engineering
  • Concepts of variation control systems (2020), Journal of Systems and Software
  • Asset Management in Machine Learning: State-of-research and State-of-practice (2022), ACM Computing Surveys
  • Reuse and maintenance practices among divergent forks in three software ecosystems (2022), Empirical Software Engineering

They have frequently published in the following venues:

  • arXiv (Cornell University)
  • Empirical Software Engineering
  • Zenodo (CERN European Organization for Nuclear Research)
  • IEEE Transactions on Software Engineering
  • Journal of Systems and Software

Throughout their career, Thorsten Berger has collaborated extensively. Frequent co-authors include:

  • Daniel Strüber
  • Patrizio Pelliccione
  • Sven Peldszus
  • Wardah Mahmood
  • Jacob Krüger

Best Publications

  • A survey of variability modeling in industrial practice

    Thorsten Berger;Ralf Rublack;Divya Nair;Joanne M. Atlee

  • Reverse engineering feature models

    Steven She;Rafael Lotufo;Thorsten Berger;Andrzej Wasowski

  • Variability-aware parsing in the presence of lexical macros and conditional compilation

    Christian Kästner;Paolo G. Giarrusso;Tillmann Rendel;Sebastian Erdweg

  • An Exploratory Study of Cloning in Industrial Software Product Lines

    Y. Dubinsky;J. Rubin;T. Berger;S. Duszynski

  • Evolution of the linux kernel variability model

    Rafael Lotufo;Steven She;Thorsten Berger;Krzysztof Czarnecki

  • A Study of Variability Models and Languages in the Systems Software Domain

    Thorsten Berger;Steven She;Rafael Lotufo;Andrzej Wasowski

  • Variability modeling in the real: a perspective from the operating systems domain

    Thorsten Berger;Steven She;Rafael Lotufo;Andrzej Wąsowski

  • What is a feature?: a qualitative study of features in industrial software product lines

    Thorsten Berger;Daniela Lettner;Julia Rubin;Paul Grünbacher

  • The Variability Model of The Linux Kernel.

    Steven She;Rafael Lotufo;Thorsten Berger;Andrzej Wasowski

  • A Large-Scale Empirical Study on Software Reuse in Mobile Apps

    Israel J. Mojica;Bram Adams;Meiyappan Nagappan;Steffen Dienst

  • Mining configuration constraints: static analyses and empirical results

    Sarah Nadi;Thorsten Berger;Christian Kästner;Krzysztof Czarnecki

  • Towards User-Friendly Projectional Editors

    Markus Voelter;Janet Siegmund;Thorsten Berger;Bernd Kolb

  • Where Do Configuration Constraints Stem From? An Extraction Approach and an Empirical Study

    Sarah Nadi;Thorsten Berger;Christian Kastner;Krzysztof Czarnecki

  • Flexible product line engineering with a virtual platform

    Michał Antkiewicz;Wenbin Ji;Thorsten Berger;Krzysztof Czarnecki

  • Variability Mechanisms in Software Ecosystems

    Thorsten Berger;Rolf-Helge Pfeiffer;Reinhard Tartler;Steffen Dienst

  • Examining the Rating System Used in Mobile-App Stores

    Israel J. Mojica Ruiz;Meiyappan Nagappan;Bram Adams;Thorsten Berger

  • Feature-to-code mapping in two large product lines

    Thorsten Berger;Steven She;Rafael Lotufo;Krzysztof Czarnecki

  • An Examination of the Current Rating System used in Mobile App Stores

    Israel Mojica Ruiz;Meiyappan Nagappan;Bram Adams;Thorsten Berger

  • GeoScenario: An Open DSL for Autonomous Driving Scenario Representation

    Rodrigo Queiroz;Thorsten Berger;Krzysztof Czarnecki

  • The state of adoption and the challenges of systematic variability management in industry

    Thorsten Berger;Jan-Philipp Steghöfer;Tewfik Ziadi;Jacques Robin

  • Maintaining feature traceability with embedded annotations

    Wenbin Ji;Thorsten Berger;Michal Antkiewicz;Krzysztof Czarnecki

  • Specification Patterns for Robotic Missions

    Claudio Menghi;Christos Tsigkanos;Patrizio Pelliccione;Carlo Ghezzi

Frequent Co-Authors

Krzysztof Czarnecki
Krzysztof Czarnecki University of Waterloo
Patrizio Pelliccione
Patrizio Pelliccione Gran Sasso Science Institute
Andrzej Wąsowski
Andrzej Wąsowski IT University of Copenhagen
Bram Adams
Bram Adams Queen's University
Ahmed E. Hassan
Ahmed E. Hassan Queen's University
Meiyappan Nagappan
Meiyappan Nagappan University of Waterloo
Sven Apel
Sven Apel Saarland University
Ralf Lämmel
Ralf Lämmel Facebook (United States)
Christian Kästner
Christian Kästner Carnegie Mellon University
Paul Grünbacher
Paul Grünbacher Johannes Kepler University of Linz

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