World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
69
Citations
16986
World Ranking
1989
National Ranking
1006

Christian Kästner 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 Christian Kästner 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: 251 publications — 63rd percentile

63% of scientists in this discipline score the same or lower.

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

Christian Kästner 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 Christian Kästner 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: 69 D-Index — 87th percentile

87% of scientists in this discipline score the same or lower.

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

Overview

Christian Kästner is affiliated with Carnegie Mellon University in the United States and has a research focus primarily within the field of Computer Science. Their work spans multiple subfields including Information Systems, Artificial Intelligence, Electrical and Electronic Engineering, Signal Processing, and Software.

Their research topics encompass a range of areas such as Software Engineering Research, Advanced Malware Detection Techniques, Software System Performance and Reliability, Big Data and Business Intelligence, Scientific Computing and Data Management, Information and Cyber Security, as well as Software Engineering Techniques and Practices.

Among their recent publications are:

  • Collaboration challenges in building ML-enabled systems, 2022, Proceedings of the 44th International Conference on Software Engineering
  • When and How to Make Breaking Changes, 2021, ACM Transactions on Software Engineering and Methodology
  • Perceptions of open-source software developers on collaborations: An interview and survey study, 2021, Journal of Software Evolution and Process
  • Subtle Bugs Everywhere: Generating Documentation for Data Wrangling Code, 2021, 2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE)
  • On debugging the performance of configurable software systems, 2022, Proceedings of the 44th International Conference on Software Engineering

Kästner's frequent co-authors include:

  • Nadia Nahar
  • Grace A. Lewis
  • Shurui Zhou
  • Alexandros Kapravelos
  • Yasemin Acar

The venues where Kästner has most often published comprise:

  • arXiv (Cornell University)
  • Proceedings of the 44th International Conference on Software Engineering
  • ACM Transactions on Software Engineering and Methodology
  • SSRN Electronic Journal
  • Journal of Software Evolution and Process

Best Publications

  • Feature-Oriented Software Product Lines

    Sven Apel;Don Batory;Christian Kästner;Gunter Saake

  • Granularity in software product lines

    Christian Kästner;Sven Apel;Martin Kuhlemann

  • FeatureIDE: An extensible framework for feature-oriented software development

    Thomas Thüm;Christian Kästner;Fabian Benduhn;Jens Meinicke

  • An Overview of Feature-Oriented Software Development.

    Sven Apel;Christian Kästner

  • A Classification and Survey of Analysis Strategies for Software Product Lines

    Thomas Thüm;Sven Apel;Christian Kästner;Ina Schaefer

  • Reasoning about edits to feature models

    Thomas Thum;Don Batory;Christian Kastner

  • An analysis of the variability in forty preprocessor-based software product lines

    Jorg Liebig;Sven Apel;Christian Lengauer;Christian Kästner

  • FEATUREHOUSE: Language-independent, automated software composition

    Sven Apel;Christian Kastner;Christian Lengauer

  • FeatureIDE: A tool framework for feature-oriented software development

    Christian Kastner;Thomas Thum;Gunter Saake;Janet Feigenspan

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

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

  • Performance-influence models for highly configurable systems

    Norbert Siegmund;Alexander Grebhahn;Sven Apel;Christian Kästner

  • Understanding understanding source code with functional magnetic resonance imaging

    Janet Siegmund;Christian Kästner;Sven Apel;Chris Parnin

  • Predicting performance via automated feature-interaction detection

    Norbert Siegmund;Sergiy S. Kolesnikov;Christian Kastner;Sven Apel

  • SPL Conqueror: Toward optimization of non-functional properties in software product lines

    Norbert Siegmund;Marko Rosenmüller;Martin Kuhlemann;Christian Kästner

  • How to break an API: cost negotiation and community values in three software ecosystems

    Christopher Bogart;Christian Kästner;James Herbsleb;Ferdian Thung

  • Abstract Features in Feature Modeling

    Thomas Thum;Christian Kastner;Sebastian Erdweg;Norbert Siegmund

  • Scalable analysis of variable software

    Jörg Liebig;Alexander von Rhein;Christian Kästner;Sven Apel

  • SugarJ: library-based syntactic language extensibility

    Sebastian Erdweg;Tillmann Rendel;Christian Kästner;Klaus Ostermann

  • Type checking annotation-based product lines

    Christian Kästner;Sven Apel;Thomas Thüm;Gunter Saake

  • A comparison of 10 sampling algorithms for configurable systems

    Flavio Medeiros;Christian Kastner;Marcio Ribeiro;Rohit Gheyi

  • Performance-Influence Models.

    Norbert Siegmund;Alexander Grebhahn;Sven Apel;Christian Kästner

Frequent Co-Authors

Sven Apel
Sven Apel Saarland University
Gunter Saake
Gunter Saake Otto-von-Guericke University Magdeburg
Norbert Siegmund
Norbert Siegmund Leipzig University
Don Batory
Don Batory The University of Texas at Austin
Christian Lengauer
Christian Lengauer University of Passau
Klaus Ostermann
Klaus Ostermann University of Tübingen
Pooyan Jamshidi
Pooyan Jamshidi University of South Carolina
Thomas Thüm
Thomas Thüm University of Ulm
Tien N. Nguyen
Tien N. Nguyen The University of Texas at Dallas

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