World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
42
Citations
7954
World Ranking
8341
National Ranking
73

Martin Pinzger 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 Martin Pinzger 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: 146 publications — 25th percentile

25% of scientists in this discipline score the same or lower.

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

Martin Pinzger 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 Martin Pinzger 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: 42 D-Index — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Overview

Martin Pinzger is affiliated with the University of Klagenfurt in Austria. Their research primarily intersects with the field of Computer Science, focusing on various subfields including Information Systems, Artificial Intelligence, Software, Computer Networks and Communications, and Signal Processing.

The scientist's work spans across key topics such as:

  • Software Engineering Research
  • Software System Performance and Reliability
  • Software Reliability and Analysis Research
  • Advanced Malware Detection Techniques
  • Advanced Software Engineering Methodologies
  • Service-Oriented Architecture and Web Services
  • Software Testing and Debugging Techniques

Recent papers by Martin Pinzger showcase a diverse research agenda. Notable publications include:

  • "PentestGPT: An LLM-empowered Automatic Penetration Testing Tool" (2023), published in arXiv (Cornell University)
  • "Microservice API Evolution in Practice: A Study on Strategies and Challenges" (2024), published in Journal of Systems and Software
  • "The nature of build changes" (2021), published in Empirical Software Engineering
  • "A Cryptography-Powered Infrastructure to Ensure the Integrity of Robot Workflows" (2021), published in Journal of Cybersecurity and Privacy
  • "What Kind of Questions Do Developers Ask on Stack Overflow? A Comparison of Automated Approaches to Classify Posts Into Question Categories" (2020), published by Gesellschaft für Informatik (GI)

Martin Pinzger has collaborated frequently with a set of co-authors, contributing to multiple joint studies. The most recurring collaborators include:

  • Stefan Raß
  • Christian Macho
  • Víctor Mayoral-Vilches
  • Johann Glock
  • Bernhard Dieber

The scientist's research appears regularly in a selection of publication venues. Prominent outlets for their work include:

  • arXiv (Cornell University)
  • Journal of Systems and Software
  • Zenodo (CERN European Organization for Nuclear Research)
  • Gesellschaft für Informatik (GI)
  • Technische Universität Berlin - Universitätsbibliothek

Best Publications

  • Change Distilling:Tree Differencing for Fine-Grained Source Code Change Extraction

    B. Fluri;M. Wursch;M. Pinzger;H.C. Gall

  • Populating a Release History Database from version control and bug tracking systems

    M. Fischer;M. Pinzger;H. Gall

  • An exploratory study of the pull-based software development model

    Georgios Gousios;Martin Pinzger;Arie van Deursen

  • Can developer-module networks predict failures?

    Martin Pinzger;Nachiappan Nagappan;Brendan Murphy

  • Predicting the fix time of bugs

    Emanuel Giger;Martin Pinzger;Harald Gall

  • Visualizing multiple evolution metrics

    Martin Pinzger;Harald Gall;Michael Fischer;Michele Lanza

  • Analyzing and relating bug report data for feature tracking

    M. Fischer;M. Pinzger;H. Gall

  • Method-level bug prediction

    Emanuel Giger;Marco D'Ambros;Martin Pinzger;Harald C. Gall

  • Predicting defect densities in source code files with decision tree learners

    Patrick Knab;Martin Pinzger;Abraham Bernstein

  • Communication in open source software development mailing lists

    Anja Guzzi;Alberto Bacchelli;Michele Lanza;Martin Pinzger

  • Change Analysis with Evolizer and ChangeDistiller

    H.C. Gall;B. Fluri;M. Pinzger

  • Analysing Software Repositories to Understand Software Evolution

    Marco D'Ambros;Harald C. Gall;Michele Lanza;Martin Pinzger

  • Using source code metrics to predict change-prone Java interfaces

    Daniele Romano;Martin Pinzger

  • Relation of code clones and change couplings

    Reto Geiger;Beat Fluri;Harald C. Gall;Martin Pinzger

  • Comparing fine-grained source code changes and code churn for bug prediction

    Emanuel Giger;Martin Pinzger;Harald C. Gall

  • Detecting and visualizing inter-worksheet smells in spreadsheets

    Felienne Hermans;Martin Pinzger;Arie van Deursen

  • Detecting similar Java classes using tree algorithms

    Tobias Sager;Abraham Bernstein;Martin Pinzger;Christoph Kiefer

  • Supporting professional spreadsheet users by generating leveled dataflow diagrams

    Felienne Hermans;Martin Pinzger;Arie van Deursen

  • Domain-Specific Languages in Practice: A User Study on the Success Factors

    Felienne Hermans;Martin Pinzger;Arie Deursen

  • Detecting code smells in spreadsheet formulas

    Felienne Hermans;Martin Pinzger;Arie van Deursen

  • Predicting the fix time of bugs

    E. Giger;M. Pinzger;H.C. Gall

Frequent Co-Authors

Harald C. Gall
Harald C. Gall University of Zurich
Arie van Deursen
Arie van Deursen Delft University of Technology
Michele Lanza
Michele Lanza Universita della Svizzera Italiana
Shane McIntosh
Shane McIntosh McGill University
Giuliano Antoniol
Giuliano Antoniol Polytechnique Montréal
Andy Zaidman
Andy Zaidman Delft University of Technology
Massimiliano Di Penta
Massimiliano Di Penta University of Sannio
Abraham Bernstein
Abraham Bernstein University of Zurich
Ali Mesbah
Ali Mesbah University of British Columbia
Foutse Khomh
Foutse Khomh Polytechnique Montréal

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