World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
53
Citations
21578
World Ranking
4686
National Ranking
210

Klaus Pohl 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 Klaus Pohl 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: 267 publications — 67th percentile

67% of scientists in this discipline score the same or lower.

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

Klaus Pohl 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 Klaus Pohl 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: 53 D-Index — 67th percentile

67% of scientists in this discipline score the same or lower.

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

Overview

Klaus Pohl is affiliated with the University of Duisburg-Essen in Germany and specializes in the field of Computer Science. Their research spans multiple subfields including Artificial Intelligence, Information Systems, Computer Networks and Communications, Software, and Management Information Systems.

Their work covers several main topics, particularly in Advanced Software Engineering Methodologies, Software Engineering Research, Business Process Modeling and Analysis, Software Reliability and Analysis Research, IoT and Edge/Fog Computing, Reinforcement Learning in Robotics, and Explainable Artificial Intelligence (XAI).

Frequent coauthors in Pohl's research include Andreas Metzger, Zoltán Ádám Mann, Jan Laufer, Felix Feit, and Xhulja Shahini.

Pohl has published in several venues, with multiple papers appearing in arXiv (Cornell University), IEEE Access, Gesellschaft für Informatik (GI), Zenodo (CERN European Organization for Nuclear Research), and Computing.

Recent notable papers by Klaus Pohl include:

  • Realizing self-adaptive systems via online reinforcement learning and feature-model-guided exploration (2022) in Computing
  • RADAR: Data Protection in Cloud-Based Computer Systems at Run Time (2021) in IEEE Access
  • Cost-optimized, data-protection-aware offloading between an edge data center and the cloud (2022) in IEEE Transactions on Services Computing
  • Automatically reconciling the trade-off between prediction accuracy and earliness in prescriptive business process monitoring (2023) in Information Systems
  • Analyzing goal variability in cyber-physical system networks (2020) in ACM SIGAPP Applied Computing Review

Best Publications

  • Software Product Line Engineering: Foundations, Principles and Techniques

    Klaus Pohl;Gnter Bckle;Frank J. van der Linden

  • Software Product Line Engineering

    Klaus Pohl;Günter Böckle;Frank van der Linden

  • Requirements Engineering: Fundamentals, Principles, and Techniques

    Klaus Pohl

  • Scenarios in system development: current practice

    K. Weidenhaupt;K. Pohl;M. Jarke;P. Haumer

  • process-centered-requirements-engineering

    Klaus Pohl

  • Requirements Engineering Fundamentals: A Study Guide for the Certified Professional for Requirements Engineering Exam - Foundation Level - IREB compliant

    Klaus Pohl;Chris Rupp

  • The three dimensions of requirements engineering: a framework and its applications

    Klaus Pohl

  • Communicating the variability of a software-product family to customers

    Günter Halmans;Klaus Pohl

  • A proposal for a scenario classification framework

    C. Rolland;C. Ben Achour;C. Cauvet;J. Ralyté

  • A journey to highly dynamic, self-adaptive service-based applications

    Elisabetta Di Nitto;Carlo Ghezzi;Andreas Metzger;Mike Papazoglou

  • Variability Issues in Software Product Lines

    Jan Bosch;Gert Florijn;Danny Greefhorst;Juha Kuusela

  • Disambiguating the Documentation of Variability in Software Product Lines: A Separation of Concerns, Formalization and Automated Analysis

    A. Metzger;P. Heymans;K. Pohl;P.-Y. Schobbens

  • Variability modeling to support customization and deployment of multi-tenant-aware Software as a Service applications

    Ralph Mietzner;Andreas Metzger;Frank Leymann;Klaus Pohl

  • Adapting traceability environments to project-specific needs

    Ralf Dömges;Klaus Pohl

  • A meta-model for representing variability in product family development

    Felix Bachmann;Michael Goedicke;Julio Leite;Robert Nord

  • The Three Dimensions of Requirements Engineering

    Klaus Pohl

  • Requirements elicitation and validation with real world scenes

    P. Haumer;K. Pohl;K. Weidenhaupt

  • Software product line engineering and variability management: achievements and challenges

    Andreas Metzger;Klaus Pohl

  • Model-Based Engineering of Embedded Systems: The SPES 2020 Methodology

    Klaus Pohl;Harald Hnninger;Reinhold Achatz;Manfred Broy

  • Variability issues in software product lines

    J Bosch;G Florijn;D Greefhorst;J Kuusela

  • Proceedings of the 2013 International Conference on Software Engineering

    David Notkin;Betty H. C. Cheng;Klaus Pohl

Frequent Co-Authors

Matthias Jarke
Matthias Jarke RWTH Aachen University
Mike P. Papazoglou
Mike P. Papazoglou Tilburg University
Ralf Reussner
Ralf Reussner Karlsruhe Institute of Technology
Wilhelm Hasselbring
Wilhelm Hasselbring Kiel University
Manfred Broy
Manfred Broy Technical University of Munich
Patrick Heymans
Patrick Heymans University of Namur
Luciano Baresi
Luciano Baresi Polytechnic University of Milan
Petri Mahonen
Petri Mahonen Aalto University
Colette Rolland
Colette Rolland Pantheon-Sorbonne University

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