World's Best Scientists 2026 revealed!

Brendan Murphy 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 Brendan Murphy 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+

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

Brendan Murphy 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 Brendan Murphy 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+

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

Overview

Brendan Murphy is affiliated with Microsoft in the United States and has contributed extensively to the field of Computer Science, with a focus on Artificial Intelligence, Analytical Chemistry, Information Systems, Statistics and Probability, and Molecular Biology. Their research portfolio spans 40 publications in these areas.

Their primary areas of study include:

  • Spectroscopy and Chemometric Analyses
  • Bayesian Methods and Mixture Models
  • COVID-19 Epidemiological Studies
  • Advanced Chemical Sensor Technologies
  • Spectroscopy Techniques in Biomedical and Chemical Research
  • Genetic and Phenotypic Traits in Livestock
  • Advanced Clustering Algorithms Research

Brendan Murphy has published in several venues, with the most frequent being:

  • arXiv (Cornell University), 14 publications
  • Statistical Analysis and Data Mining The ASA Data Science Journal, 8 publications
  • Scientific Reports, 4 publications
  • Journal of Dairy Science, 3 publications
  • Advances in Data Analysis and Classification, 3 publications

Some of their recent papers include:

  • "Predicting cow milk quality traits from routinely available milk spectra using statistical machine learning methods" (2021), Journal of Dairy Science
  • "Model-Based Clustering" (2022), Annual Review of Statistics and Its Application
  • "Application of machine-learning methods to milk mid-infrared spectra for discrimination of cow milk from pasture or total mixed ration diets" (2021), Journal of Dairy Science
  • "Calibrating COVID-19 susceptible-exposed-infected-removed models with time-varying effective contact rates" (2021), Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences
  • "On the pinned distances problem in positive characteristic" (2022), Journal of the London Mathematical Society

Frequent co-authors collaborating with Brendan Murphy include:

  • Isobel Claire Gormley
  • Francesca Greselin
  • R. William G. Watson
  • Andrea Cappozzo
  • Bertrand Clarke

Best Publications

  • Cross-project defect prediction: a large scale experiment on data vs. domain vs. process

    Thomas Zimmermann;Nachiappan Nagappan;Harald Gall;Emanuel Giger

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

    Christian Bird;Nachiappan Nagappan;Brendan Murphy;Harald Gall

  • The influence of organizational structure on software quality: an empirical case study

    Nachiappan Nagappan;Brendan Murphy;Victor Basili

  • Characterizing and predicting which bugs get fixed: an empirical study of Microsoft Windows

    Philip J. Guo;Thomas Zimmermann;Nachiappan Nagappan;Brendan Murphy

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

    Christian Bird;Nachiappan Nagappan;Premkumar Devanbu;Harald Gall

  • Can developer-module networks predict failures?

    Martin Pinzger;Nachiappan Nagappan;Brendan Murphy

  • Putting It All Together: Using Socio-technical Networks to Predict Failures

    Christian Bird;Nachiappan Nagappan;Harald Gall;Brendan Murphy

  • Change Bursts as Defect Predictors

    Nachiappan Nagappan;Andreas Zeller;Thomas Zimmermann;Kim Herzig

  • Characterizing and predicting which bugs get reopened

    Thomas Zimmermann;Nachiappan Nagappan;Philip J. Guo;Brendan Murphy

  • "Not my bug!" and other reasons for software bug report reassignments

    Philip J. Guo;Thomas Zimmermann;Nachiappan Nagappan;Brendan Murphy

  • Challenges with applying vulnerability prediction models

    Patrick Morrison;Kim Herzig;Brendan Murphy;Laurie Williams

  • Measuring system and software reliability using an automated data collection process

    Brendan Murphy;Ted Gent

  • The art of testing less without sacrificing quality

    Kim Herzig;Michaela Greiler;Jacek Czerwonka;Brendan Murphy

  • The Top 10 Adages in Continuous Deployment

    Chris Parnin;Eric Helms;Chris Atlee;Harley Boughton

  • Windows 2000 Dependability

    Brendan Murphy;Björn Levidow

  • Using Historical In-Process and Product Metrics for Early Estimation of Software Failures

    N. Nagappan;T. Ball;B. Murphy

  • Have Agile Techniques been the Silver Bullet for Software Development at Microsoft

    Brendan Murphy;Christian Bird;Thomas Zimmermann;Laurie Williams

  • Cross-project Defect Prediction

    Thomas Zimmermann;Nachiappan Nagappan;Harald Gall;Emanuel Giger

  • CODEMINE: Building a Software Development Data Analytics Platform at Microsoft

    J. Czerwonka;N. Nagappan;W. Schulte;B. Murphy

  • Characterizing experimentation in continuous deployment: a case study on bing

    Katja Kevic;Brendan Murphy;Laurie Williams;Jennifer Beckmann

Frequent Co-Authors

Nachiappan Nagappan
Nachiappan Nagappan Facebook (United States)
Thomas Zimmermann
Thomas Zimmermann Microsoft (United States)
Laurie Williams
Laurie Williams North Carolina State University
Christian Bird
Christian Bird Microsoft (United States)
Premkumar Devanbu
Premkumar Devanbu University of California, Davis
Harald C. Gall
Harald C. Gall University of Zurich
Philip J. Guo
Philip J. Guo University of California, San Diego
Andreas Zeller
Andreas Zeller Saarland University
Michael Stumm
Michael Stumm University of Toronto
Richard Harper
Richard Harper Social Shaping Research

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