World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
7900
World Ranking
9637
National Ranking
4083

Suchi Saria 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 Suchi Saria 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: 121 publications — 15th percentile

15% of scientists in this discipline score the same or lower.

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

Suchi Saria 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 Suchi Saria 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: 39 D-Index — 33rd percentile

33% 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 - Fellow of Alfred P. Sloan Foundation

Overview

Suchi Saria is a researcher affiliated with Johns Hopkins University in the United States. Their work spans the fields of Medicine and Computer Science, with a particular focus on Artificial Intelligence and Health Informatics. Research topics cover Machine Learning in Healthcare, Artificial Intelligence in Healthcare and Education, and Sepsis Diagnosis and Treatment among others.

The main areas of study include:

  • Medicine
  • Computer Science

Subfields of their research include:

  • Artificial Intelligence
  • Health Informatics
  • Epidemiology
  • Health Information Management
  • Public Health, Environmental and Occupational Health

The primary research topics addressed in their publications are:

  • Machine Learning in Healthcare
  • Artificial Intelligence in Healthcare and Education
  • Sepsis Diagnosis and Treatment
  • Artificial Intelligence in Healthcare
  • Health, Environment, Cognitive Aging
  • Clinical Reasoning and Diagnostic Skills
  • Heart Failure Treatment and Management

Selected recent papers include:

  • Minimum information about clinical artificial intelligence modeling: the MI-CLAIM checklist, 2020, Nature Medicine
  • Prospective, multi-site study of patient outcomes after implementation of the TREWS machine learning-based early warning system for sepsis, 2022, Nature Medicine
  • Human-machine teaming is key to AI adoption: clinicians' experiences with a deployed machine learning system, 2022, npj Digital Medicine
  • Reporting and Implementing Interventions Involving Machine Learning and Artificial Intelligence, 2020, Annals of Internal Medicine
  • Factors driving provider adoption of the TREWS machine learning-based early warning system and its effects on sepsis treatment timing, 2022, Nature Medicine

Frequent coauthors with whom Suchi Saria collaborates include:

  • Roy J. Adams
  • Katharine E. Henry
  • Adarsh Subbaswamy
  • Anirudh Sridharan
  • Hossein Soleimani

Their work is often published in venues such as:

  • arXiv (Cornell University)
  • Nature Medicine
  • Critical Care Medicine
  • JAMA
  • npj Digital Medicine

Suchi Saria was awarded the Fellow of the Alfred P. Sloan Foundation in 2018.

Best Publications

  • Big Data In Health Care: Using Analytics To Identify And Manage High-Risk And High-Cost Patients

    David W. Bates;Suchi Saria;Lucila Ohno-Machado;Anand Shah

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

    Jenna Wiens;Suchi Saria;Mark Sendak;Marzyeh Ghassemi

  • A targeted real-time early warning score (TREWScore) for septic shock

    Katharine E. Henry;David N. Hager;Peter J. Pronovost;Suchi Saria

  • Minimum information about clinical artificial intelligence modeling: the MI-CLAIM checklist

    Beau Norgeot;Giorgio Quer;Brett K. Beaulieu-Jones;Ali Torkamani

  • The Clinician and Dataset Shift in Artificial Intelligence.

    Samuel G. Finlayson;Adarsh Subbaswamy;Karandeep Singh;John Bowers

  • Using Smartphones and Machine Learning to Quantify Parkinson Disease Severity: The Mobile Parkinson Disease Score

    Andong Zhan;Srihari Mohan;Christopher Tarolli;Ruth B. Schneider

  • Microsoft Cambridge at TREC 13: Web and Hard Tracks.

    Hugo Zaragoza;Nick Craswell;Michael J. Taylor;Suchi Saria

  • From development to deployment: dataset shift, causality, and shift-stable models in health AI.

    Adarsh Subbaswamy;Suchi Saria

  • Subtyping: What It is and Its Role in Precision Medicine

    Suchi Saria;Anna Goldenberg

  • Reliable Decision Support using Counterfactual Models

    Peter Schulam;Suchi Saria

  • Developing predictive models using electronic medical records: challenges and pitfalls.

    Chris Paxton;Alexandru Niculescu-Mizil;Suchi Saria

  • Better medicine through machine learning: What's real, and what's artificial?

    Suchi Saria;Atul Butte;Aziz Sheikh

  • Clustering longitudinal clinical marker trajectories from electronic health data: applications to phenotyping and endotype discovery

    Peter Schulam;Fredrick Wigley;Suchi Saria

  • A framework for individualizing predictions of disease trajectories by exploiting multi-resolution structure

    Peter Schulam;Suchi Saria

  • Reporting and Implementing Interventions Involving Machine Learning and Artificial Intelligence.

    David W. Bates;Andrew Auerbach;Peter Schulam;Adam Wright

  • Preventing Failures Due to Dataset Shift: Learning Predictive Models That Transport

    Adarsh Subbaswamy;Peter Schulam;Suchi Saria

  • Can You Trust This Prediction? Auditing Pointwise Reliability After Learning

    Peter Schulam;Suchi Saria

  • High Frequency Remote Monitoring of Parkinson's Disease via Smartphone: Platform Overview and Medication Response Detection

    Andong Zhan;Max A. Little;Denzil A. Harris;Solomon O. Abiola

  • Probabilistic plan recognition in multiagent systems

    Suchi Saria;Sridhar Mahadevan

  • Development and Validation of a Machine Learning Model to Predict Near-Term Risk of Iatrogenic Hypoglycemia in Hospitalized Patients.

    Nestoras N. Mathioudakis;Mohammed S. Abusamaan;Ahmed F. Shakarchi;Sam Sokolinsky

  • Reasoning at the right time granularity

    Suchi Saria;Uri Nodelman;Daphne Koller

  • Artificial intelligence for social good

    Gregory D. Hager;Ann W. Drobnis;Fei Fang;Rayid Ghani

  • Tutorial: Safe and reliable machine learning

    Suchi Saria;Adarsh Subbaswamy

Frequent Co-Authors

Daphne Koller
Daphne Koller insitro Inc.
Max A. Little
Max A. Little University of Birmingham
David W. Bates
David W. Bates Brigham and Women's Hospital
Isaac S. Kohane
Isaac S. Kohane Harvard University
Gaurav Sharma
Gaurav Sharma University of Rochester
Lucila Ohno-Machado
Lucila Ohno-Machado University of California, San Diego
Katherine A. Heller
Katherine A. Heller Google (United States)
Samuel Kaski
Samuel Kaski Aalto University
Aki Vehtari
Aki Vehtari Aalto University

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