World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
6354
World Ranking
10202
National Ranking
4290

Katherine A. Heller 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 Katherine A. Heller 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: 103 publications — 9th percentile

9% of scientists in this discipline score the same or lower.

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

Katherine A. Heller 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 Katherine A. Heller 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: 38 D-Index — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Overview

Katherine A. Heller is a researcher affiliated with Google in the United States. Their work spans the fields of Computer Science and Medicine, with a notable focus on Artificial Intelligence and its applications in healthcare and related domains.

The main fields of study for Katherine A. Heller include:

  • Computer Science
  • Medicine

Within these fields, they have contributed substantially to several subfields, namely:

  • Artificial Intelligence
  • Applied Psychology
  • Health Informatics
  • Experimental and Cognitive Psychology
  • Public Health, Environmental and Occupational Health

The key topics that characterize their research incorporate:

  • Digital Mental Health Interventions
  • Artificial Intelligence in Healthcare and Education
  • Machine Learning in Healthcare
  • Mental Health Research Topics
  • Explainable Artificial Intelligence (XAI)
  • Topic Modeling
  • Ethics in Clinical Research

Katherine A. Heller has authored numerous scholarly papers, published primarily in venues such as arXiv (Cornell University), Nature Medicine, and other interdisciplinary journals. Some of their recent publications include:

  • "Underspecification Presents Challenges for Credibility in Modern Machine Learning" (2020) - arXiv (Cornell University)
  • "The value of standards for health datasets in artificial intelligence-based applications" (2023) - Nature Medicine
  • "Machine learning for early detection of sepsis: an internal and temporal validation study" (2020) - JAMIA Open
  • "Tackling bias in AI health datasets through the STANDING Together initiative" (2022) - Nature Medicine
  • "Healthsheet: Development of a Transparency Artifact for Health Datasets" (2022) - 2022 ACM Conference on Fairness, Accountability, and Transparency

The researcher frequently collaborates with a set of co-authors, indicating joint involvement in related research areas. Some of the frequent co-authors include:

  • Negar Rostamzadeh
  • David Benrimoh
  • Kelly Perlman
  • Sonia Israel
  • Joseph Mehltretter

Publication venues where Katherine A. Heller has contributed multiple works are:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Nature Medicine
  • 2022 ACM Conference on Fairness, Accountability, and Transparency
  • JMIR Formative Research

Best Publications

  • Do no harm: a roadmap for responsible machine learning for health care.

    Jenna Wiens;Suchi Saria;Mark Sendak;Marzyeh Ghassemi

  • Bayesian hierarchical clustering

    Katherine A. Heller;Zoubin Ghahramani

  • Underspecification Presents Challenges for Credibility in Modern Machine Learning

    Alexander D'Amour;Katherine A. Heller;Dan Moldovan;Ben Adlam

  • One Class Support Vector Machines for Detecting Anomalous Windows Registry Accesses

    Katherine Heller;Krysta Svore;Angelos D. Keromytis;Salvatore Stolfo

  • Development and validation of machine learning models to identify high-risk surgical patients using automatically curated electronic health record data (Pythia): A retrospective, single-site study.

    Kristin M. Corey;Sehj Kashyap;Elizabeth Lorenzi;Sandhya A. Lagoo-Deenadayalan

  • Modelling Reciprocating Relationships with Hawkes Processes

    Charles Blundell;Jeff Beck;Katherine A. Heller

  • A Shared Vision for Machine Learning in Neuroscience

    Mai Anh T. Vu;Tülay Adalı;Demba Ba;György Buzsáki

  • Bayesian Sets

    Zoubin Ghahramani;Katherine A. Heller

  • The IBP Compound Dirichlet Process and its Application to Focused Topic Modeling

    Sinead Williamson;Chong Wang;Katherine A. Heller;David M. Blei

  • Real-World Integration of a Sepsis Deep Learning Technology Into Routine Clinical Care: Implementation Study

    Mark P Sendak;William Ratliff;Dina Sarro;Elizabeth Alderton

  • An insula-frontostriatal network mediates flexible cognitive control by adaptively predicting changing control demands

    Jiefeng Jiang;Jeffrey Beck;Katherine Heller;Tobias Egner

  • Sequence Information for the Splicing of Human Pre-mRNA Identified by Support Vector Machine Classification

    Xiang H.-F. Zhang;Katherine A. Heller;Ilana Hefter;Christina S. Leslie

  • Analyzing the role of model uncertainty for electronic health records

    Michael W. Dusenberry;Dustin Tran;Edward Choi;Jonas Kemp

  • Learning to detect sepsis with a multitask Gaussian process RNN classifier

    Joseph Futoma;Sanjay Hariharan;Katherine Heller

  • Bayesian modeling of flexible cognitive control.

    Jiefeng Jiang;Katherine Heller;Tobias Egner

  • Bayesian Exponential Family PCA

    Shakir Mohamed;Zoubin Ghahramani;Katherine A. Heller

  • Bayesian and L1 Approaches to Sparse Unsupervised Learning

    Shakir Mohamed;Katherine A. Heller;Zoubin Ghahramani

  • Massive computational acceleration by using neural networks to emulate mechanism-based biological models

    Shangying Wang;Kai Fan;Nan Luo;Yangxiaolu Cao

  • An Improved Multi-Output Gaussian Process RNN with Real-Time Validation for Early Sepsis Detection.

    Joseph Futoma;Sanjay Hariharan;Katherine A. Heller;Mark P. Sendak

  • Bayesian rose trees

    Charles Blundell;Yee Whye Teh;Katherine A. Heller

  • A comparative evaluation of two algorithms for Windows Registry Anomaly Detection

    Salvatore J. Stolfo;Frank Apap;Eleazar Eskin;Katherine Heller

  • Machine learning for early detection of sepsis: an internal and temporal validation study.

    Armando D Bedoya;Joseph Futoma;Joseph Futoma;Meredith E Clement;Kristin Corey;Kristin Corey

Frequent Co-Authors

Zoubin Ghahramani
Zoubin Ghahramani University of Cambridge
Charles Blundell
Charles Blundell DeepMind (United Kingdom)
Gustavo Turecki
Gustavo Turecki Douglas Mental Health University Institute
Sagar V. Parikh
Sagar V. Parikh University of Michigan–Ann Arbor
Hanna Wallach
Hanna Wallach Microsoft (United States)
Edoardo M. Airoldi
Edoardo M. Airoldi Temple University
Thomas L. Griffiths
Thomas L. Griffiths Princeton University
Dustin Tran
Dustin Tran Google (United States)
Yee Whye Teh
Yee Whye Teh University of Oxford

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