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Computer Science
USA
2026

D-Index & Metrics

Computer Science

D-Index
117
Citations
58379
World Ranking
166
National Ranking
97

Pierre Baldi 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 Pierre Baldi 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: 500 publications — 93rd percentile

93% of scientists in this discipline score the same or lower.

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

Pierre Baldi 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 Pierre Baldi 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: 117 D-Index — 99th percentile

99% 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

  • 2026 - Research.com Computer Science in United States Leader Award
  • 2012 - IEEE Fellow For contributions to machine learning and its applications in the life sciences
  • 2012 - ACM Fellow For contributions to artificial intelligence and statistical machine learning for bioinformatics.
  • 2008 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

Pierre Baldi is affiliated with the University of California, Irvine in the United States. Their primary field of study is Physics and Astronomy, with a pronounced focus on Nuclear and High Energy Physics. In addition to this, Baldi's research spans Artificial Intelligence, Molecular Biology, Physiology, and Astronomy and Astrophysics.

The scientist's work covers a range of main research topics, including:

  • Neutrino Physics Research
  • Astrophysics and Cosmic Phenomena
  • Particle physics theoretical and experimental studies
  • Dark Matter and Cosmic Phenomena
  • Circadian rhythm and melatonin
  • Particle Detector Development and Performance
  • Machine Learning in Materials Science

Baldi has published extensively, with recent papers including the following:

  • "Enforcing Analytic Constraints in Neural Networks Emulating Physical Systems," 2021, Physical Review Letters
  • "Long-baseline neutrino oscillation physics potential of the DUNE experiment," 2020, Jyväskylä University Digital Archive (University of Jyväskylä)
  • "Atlas of exercise metabolism reveals time-dependent signatures of metabolic homeostasis," 2022, Cell Metabolism
  • "Improved measurement of neutrino oscillation parameters by the NOvA experiment," 2022, Physical review. D/Physical review. D.
  • "Supernova neutrino burst detection with the deep underground neutrino experiment," 2020, Lancaster EPrints (Lancaster University)

Frequent co-authors collaborating with Baldi include:

  • H.O. Back
  • M. A. Acero
  • A. Aurisano
  • Bindu A. Bambah
  • G. Adamov

Baldi publishes often in the following venues:

  • arXiv (Cornell University)
  • Physical review. D/Physical review. D.
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of Instrumentation
  • Proceedings of 37th International Cosmic Ray Conference - PoS(ICRC2021)

The scientist has also contributed to book publications, with one notable example from Cambridge University Press titled "Deep Learning in Science," published in 2021.

Among several recognitions, Baldi has been awarded:

  • IEEE Fellow in 2012 for contributions to machine learning and its applications in the life sciences
  • ACM Fellow in 2012 for contributions to artificial intelligence and statistical machine learning for bioinformatics
  • Fellow of the American Association for the Advancement of Science (AAAS) in 2008

Best Publications

  • Assessing the accuracy of prediction algorithms for classification: an overview

    Pierre Baldi;Søren Brunak;Yves Chauvin;Claus A. F. Andersen

  • A Bayesian framework for the analysis of microarray expression data: regularized t -test and statistical inferences of gene changes.

    Pierre Baldi;Anthony D. Long

  • Bayesian surprise attracts human attention.

    Laurent Itti;Pierre Baldi

  • Bioinformatics: The Machine Learning Approach

    Pierre Baldi;Søren Brunak

  • Neural networks and principal component analysis: learning from examples without local minima

    P. Baldi;K. Hornik

  • Autoencoders, Unsupervised Learning, and Deep Architectures

    Pierre Baldi

  • Highly Accurate Machine Fault Diagnosis Using Deep Transfer Learning

    Siyu Shao;Stephen McAleer;Ruqiang Yan;Pierre Baldi

  • Searching for exotic particles in high-energy physics with deep learning

    Pierre Baldi;Peter Sadowski;Daniel Whiteson

  • Prediction of protein stability changes for single-site mutations using support vector machines.

    Jianlin Cheng;Arlo Randall;Pierre Baldi

  • SCRATCH: a protein structure and structural feature prediction server

    Jianlin Cheng;Arlo Z. Randall;Michael J. Sweredoski;Pierre Baldi

  • Improving the prediction of protein secondary structure in three and eight classes using recurrent neural networks and profiles.

    Gianluca Pollastri;Darisz Przybylski;Burkhard Rost;Pierre Baldi

  • Reprogramming of the circadian clock by nutritional challenge.

    Kristin L. Eckel-Mahan;Vishal R. Patel;Sara de Mateo;Ricardo Orozco-Solis

  • Hidden Markov models of biological primary sequence information

    Pierre Baldi;Yves Chauvin;Tim Hunkapiller;Marcella A. McClure

  • Deep Learning Localizes and Identifies Polyps in Real Time With 96% Accuracy in Screening Colonoscopy.

    Gregor Urban;Priyam Tripathi;Talal Alkayali;Mohit Mittal

  • Exploiting the past and the future in protein secondary structure prediction.

    Pierre Baldi;Søren Brunak;Paolo Frasconi;Giovanni Soda

  • SOLpro: accurate sequence-based prediction of protein solubility

    Christophe N. Magnan;Arlo Z. Randall;Pierre Baldi

  • DNA Microarrays and Gene Expression: From Experiments to Data Analysis and Modeling

    Pierre Baldi;G. Wesley Hatfield

  • 2005 Speical Issue: Graph kernels for chemical informatics

    Liva Ralaivola;Sanjay J. Swamidass;Hiroto Saigo;Pierre Baldi

  • Deep Architectures and Deep Learning in Chemoinformatics: The Prediction of Aqueous Solubility for Drug-Like Molecules

    Alessandro Lusci;Gianluca Pollastri;Pierre Baldi

  • Understanding Dropout

    Pierre Baldi;Peter J Sadowski

  • Improved residue contact prediction using support vector machines and a large feature set

    Jianlin Cheng;Pierre Baldi

  • CircadiOmics: integrating circadian genomics, transcriptomics, proteomics and metabolomics

    Vishal R Patel;Kristin Eckel-Mahan;Paolo Sassone-Corsi;Pierre Baldi

Frequent Co-Authors

Søren Brunak
Søren Brunak University of Copenhagen
Paolo Sassone-Corsi
Paolo Sassone-Corsi University of California, Irvine
Cristina V. Lopes
Cristina V. Lopes University of California, Irvine
Gianluca Pollastri
Gianluca Pollastri University College Dublin
Philip L. Felgner
Philip L. Felgner University of California, Irvine
Maury Goodman
Maury Goodman Argonne National Laboratory
N. J. Buchanan
N. J. Buchanan Colorado State University
Paolo Frasconi
Paolo Frasconi University of Florence
Jianlin Cheng
Jianlin Cheng University of Missouri
Raja Jurdak
Raja Jurdak Queensland University of Technology

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