World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
42
Citations
6782
World Ranking
8455
National Ranking
195

Julia Lawall 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 Julia Lawall 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: 197 publications — 45th percentile

45% of scientists in this discipline score the same or lower.

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

Julia Lawall 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 Julia Lawall 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

Julia Lawall is affiliated with the French Institute for Research in Computer Science and Automation (INRIA) in France. Their research is situated primarily within the field of Computer Science, encompassing 24 publications. Key subfields of their work include Software, Information Systems, Computer Networks and Communications, Signal Processing, and Artificial Intelligence.

The scientist's research interests cover several prominent topics, notably Software Testing and Debugging Techniques, Software Engineering Research, Advanced Malware Detection Techniques, Software System Performance and Reliability, Parallel Computing and Optimization Techniques, Service-Oriented Architecture and Web Services, and Business Process Modeling and Analysis.

Julia Lawall has coauthored multiple scientific publications with several frequent collaborators, including David Lo, Hong Jin Kang, Stefanus Agus Haryono, Ferdian Thung, and Lingxiao Jiang.

Their recent papers demonstrate a focus on software engineering and testing, with contributions such as:

  • AndroEvolve: automated Android API update with data flow analysis and variable denormalization, 2022, Empirical Software Engineering
  • Evaluating SZZ Implementations: An Empirical Study on the Linux Kernel, 2024, IEEE Transactions on Software Engineering
  • Maximizing Patch Coverage for Testing of Highly-Configurable Software without Exploding Build Times, 2024, Proceedings of the ACM on software engineering.
  • PatchNet: Hierarchical Deep Learning-Based Stable Patch Identification for the Linux Kernel, 2020, Zenodo (CERN European Organization for Nuclear Research)
  • Characterization and Automatic Update of Deprecated Machine-Learning API Usages, 2020, arXiv (Cornell University)

Julia Lawall has published extensively in notable venues. The most frequent ones include Zenodo (CERN European Organization for Nuclear Research) with five publications, arXiv (Cornell University) with three, IEEE Transactions on Software Engineering with two, as well as Empirical Software Engineering and Proceedings of the ACM on software engineering. each with one publication.

Their contributions also extend to book publications, with a book titled NASA Formal Methods published by Springer Science+Business Media in 2022.

Best Publications

  • Entropy: a consolidation manager for clusters

    Fabien Hermenier;Xavier Lorca;Jean-Marc Menaud;Gilles Muller

  • Faults in linux: ten years later

    Nicolas Palix;Gaël Thomas;Suman Saha;Christophe Calvès

  • Think: A Software Framework for Component-based Operating System Kernels

    Jean-Philippe Fassino;Jean-Bernard Stefani;Julia L. Lawall;Gilles Muller

  • Documenting and automating collateral evolutions in linux device drivers

    Yoann Padioleau;Julia Lawall;René Rydhof Hansen;Gilles Muller

  • Remote core locking: migrating critical-section execution to improve the performance of multithreaded applications

    Jean-Pierre Lozi;Florian David;Gaël Thomas;Julia Lawall

  • Tempo: specializing systems applications and beyond

    C. Consel;L. Hornof;R. Marlet;G. Muller

  • Automated library recommendation

    Ferdian Thung;David Lo;Julia Lawall

  • CC2Vec: distributed representations of code changes

    Thong Hoang;Hong Jin Kang;David Lo;Julia Lawall

  • Identifying Linux bug fixing patches

    Yuan Tian;Julia Lawall;David Lo

  • CC2Vec: Distributed Representations of Code Changes

    Thong Hoang;Hong Jin Kang;Julia Lawall;David Lo

  • Automatic recommendation of API methods from feature requests

    Ferdian Thung;Shaowei Wang;David Lo;Julia Lawall

  • Automatic program specialization for Java

    Ulrik P. Schultz;Julia L. Lawall;Charles Consel

  • Continuation-based partial evaluation

    Julia L. Lawall;Olivier Danvy

  • Automatic, template-based run-time specialization: implementation and experimental study

    F. Noel;L. Hornof;C. Consel;J.L. Lawall

  • Automated construction of a software-specific word similarity database

    Yuan Tian;David Lo;Julia Lawall

  • Understanding collateral evolution in Linux device drivers

    Yoann Padioleau;Julia L. Lawall;Gilles Muller

  • Towards Automatic Specialization of Java Programs

    Ulrik Pagh Schultz;Julia L. Lawall;Charles Consel;Gilles Muller

  • Compositional Vector Space Models for Improved Bug Localization

    Shaowei Wang;David Lo;Julia Lawall

  • Generic Patch Inference

    J. Andersen;J.L. Lawall

  • BtrPlace: A Flexible Consolidation Manager for Highly Available Applications

    F. Hermenier;J. Lawall;G. Muller

  • Proceedings of the European Conference on Object-oriented Programming (ECOOP'99)

    Ulrik Pagh Schultz;Julia Lawall;Charles Consel;Gilles Muller

  • Automatic Program Specialization for Java

    Ulrik Pagh Schultz;Charles Consel

Frequent Co-Authors

Gilles Muller
Gilles Muller French Institute for Research in Computer Science and Automation - INRIA
David Lo
David Lo Singapore Management University
Charles Consel
Charles Consel Institut Polytechnique de Bordeaux
Ferdian Thung
Ferdian Thung Singapore Management University
Lingxiao Jiang
Lingxiao Jiang Singapore Management University
Shi-Min Hu
Shi-Min Hu Tsinghua University
Willy Zwaenepoel
Willy Zwaenepoel University of Sydney
Pascal Felber
Pascal Felber University of Neuchâtel
Tegawendé F. Bissyandé
Tegawendé F. Bissyandé University of Luxembourg
Olivier Danvy
Olivier Danvy National University of Singapore

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