World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
70
Citations
20214
World Ranking
1870
National Ranking
956

Premkumar Devanbu 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 Premkumar Devanbu 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: 190 publications — 43rd percentile

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

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

Premkumar Devanbu 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 Premkumar Devanbu 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: 70 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.

Research.com Recognitions

  • 2018 - ACM Fellow For contributions to using software data and meta-data to improve software tools and processes

Overview

Premkumar Devanbu is affiliated with the University of California, Davis in the United States. The main field of their research is Computer Science, with a focus on several subfields including Artificial Intelligence, Information Systems, Software, Signal Processing, and Computer Networks and Communications.

Their work covers a variety of topics, particularly within Software Engineering Research, and extends to Topic Modeling, Software Testing and Debugging Techniques, Advanced Malware Detection Techniques, Natural Language Processing Techniques, Software Reliability and Analysis Research, and Software System Performance and Reliability.

Devanbu has published extensively, with research appearing frequently in several venues. Prominent among these are arXiv (Cornell University), Zenodo (CERN European Organization for Nuclear Research), IEEE Transactions on Software Engineering, Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, and ACM Transactions on Software Engineering and Methodology.

Recent papers authored in part by Devanbu include:

  • "NatGen: generative pre-training by "naturalizing" source code", 2022, Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering
  • "SynShine: Improved Fixing of Syntax Errors", 2022, IEEE Transactions on Software Engineering
  • "Naturally!: How Breakthroughs in Natural Language Processing Can Dramatically Help Developers", 2021, IEEE Software
  • "Patching as Translation: The Data and the Metaphor", 2020, arXiv (Cornell University)
  • "RepairAgent: An Autonomous, LLM-Based Agent for Program Repair", 2024, arXiv (Cornell University)

Devanbu has collaborated frequently with several co-authors, including Toufique Ahmed, Anand Ashok Sawant, Kevin Jesse, Baishakhi Ray, and Noah Rose Ledesma.

The scientist was recognized as an ACM Fellow in 2018 for contributions related to using software data and meta-data to improve software tools and processes.

Best Publications

  • On the naturalness of software

    Abram Hindle;Earl T. Barr;Mark Gabel;Zhendong Su

  • A Survey of Machine Learning for Big Code and Naturalness

    Miltiadis Allamanis;Earl T. Barr;Premkumar Devanbu;Charles Sutton

  • Mining email social networks

    Christian Bird;Alex Gourley;Prem Devanbu;Michael Gertz

  • On the naturalness of software

    Abram Hindle;Earl T. Barr;Zhendong Su;Mark Gabel

  • Software engineering for security: a roadmap

    Premkumar T. Devanbu;Stuart Stubblebine

  • A knowledge-based software information system

    Premkumar Devanbu;Peter G. Selfridge;Bruce W. Ballard;Ronald J. Brachman

  • LaSSIE: a knowledge-based software information system

    Prem Devanbu;Ron Brachman;Peter G. Selfridge;Bruce W. Ballard

  • A large scale study of programming languages and code quality in github

    Baishakhi Ray;Daryl Posnett;Vladimir Filkov;Premkumar Devanbu

  • An investigation into coupling measures for C

    Lionel Briand;Prem Devanbu;Walcelio Melo

  • Fair and balanced?: bias in bug-fix datasets

    Christian Bird;Adrian Bachmann;Eirik Aune;John Duffy

  • Don't touch my code!: examining the effects of ownership on software quality

    Christian Bird;Nachiappan Nagappan;Brendan Murphy;Harald Gall

  • Quality and productivity outcomes relating to continuous integration in GitHub

    Bogdan Vasilescu;Yue Yu;Huaimin Wang;Premkumar Devanbu

  • Gender and Tenure Diversity in GitHub Teams

    Bogdan Vasilescu;Daryl Posnett;Baishakhi Ray;Mark G.J. van den Brand

  • Latent social structure in open source projects

    Christian Bird;David Pattison;Raissa D'Souza;Vladimir Filkov

  • Are deep neural networks the best choice for modeling source code

    Vincent J. Hellendoorn;Premkumar Devanbu

  • The promises and perils of mining git

    Unknown

  • The ManyBugs and IntroClass Benchmarks for Automated Repair of C Programs

    Claire Le Goues;Neal Holtschulte;Edward K. Smith;Yuriy Brun

  • Clones: what is that smell?

    Foyzur Rahman;Christian Bird;Premkumar Devanbu

  • Does distributed development affect software quality?: an empirical case study of Windows Vista

    Christian Bird;Nachiappan Nagappan;Premkumar Devanbu;Harald Gall

  • Authentic Third-party Data Publication

    Premkumar T. Devanbu;Michael Gertz;Charles U. Martel;Stuart G. Stubblebine

  • How, and why, process metrics are better

    Foyzur Rahman;Premkumar Devanbu

Frequent Co-Authors

Vladimir Filkov
Vladimir Filkov University of California, Davis
Christian Bird
Christian Bird Microsoft (United States)
Michael Gertz
Michael Gertz Heidelberg University
Earl T. Barr
Earl T. Barr University College London
Bogdan Vasilescu
Bogdan Vasilescu Carnegie Mellon University
Brendan Murphy
Brendan Murphy Microsoft (United States)
Nachiappan Nagappan
Nachiappan Nagappan Facebook (United States)
Zhendong Su
Zhendong Su ETH Zurich
Baishakhi Ray
Baishakhi Ray Columbia University
Alexander L. Wolf
Alexander L. Wolf University of California, Santa Cruz

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