World's Best Scientists 2026 revealed!
Peter Szolovits

Peter Szolovits

D-Index & Metrics

Computer Science

D-Index
65
Citations
26159
World Ranking
2400
National Ranking
1200

Peter Szolovits 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 Peter Szolovits 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: 237 publications — 59th percentile

59% of scientists in this discipline score the same or lower.

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

Peter Szolovits 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 Peter Szolovits 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: 65 D-Index — 83rd percentile

83% 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

  • 2006 - Fellow of the Indian National Academy of Engineering (INAE)
  • 2005 - Member of the National Academy of Medicine (NAM)
  • 1992 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For pioneering the application of Artificial Intelligence in Medicine.

Overview

Peter Szolovits is affiliated with MIT in the United States and works primarily in the fields of Computer Science and Medicine. Their research spans multiple subfields including Artificial Intelligence, Health Informatics, Genetics, Molecular Biology, and Oncology.

Their work covers several main topics, notably:

  • Topic Modeling
  • Machine Learning in Healthcare
  • Natural Language Processing Techniques
  • Artificial Intelligence in Healthcare and Education
  • Explainable Artificial Intelligence (XAI)
  • Biomedical Text Mining and Ontologies
  • Sentiment Analysis and Opinion Mining

Key recent papers authored or coauthored by Peter Szolovits include:

  • Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • Assessing the potential of GPT-4 to perpetuate racial and gender biases in health care: a model evaluation study, 2023, The Lancet Digital Health
  • What Disease Does This Patient Have? A Large-Scale Open Domain Question Answering Dataset from Medical Exams, 2021, Applied Sciences
  • A multidimensional precision medicine approach identifies an autism subtype characterized by dyslipidemia, 2020, Nature Medicine
  • What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams, 2021, Preprints.org

Frequent coauthors collaborating with Peter Szolovits include:

  • Di Jin
  • Matthew B. A. McDermott
  • Emily Alsentzer
  • Wei-Hung Weng
  • Eric Lehman

Peter Szolovits frequently publishes in venues such as:

  • arXiv (Cornell University)
  • Journal of the American Medical Informatics Association
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • The Lancet Digital Health

The scientist has received several awards over the years, including:

  • Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) in 1992 for pioneering the application of Artificial Intelligence in Medicine
  • Member of the National Academy of Medicine (NAM) in 2005
  • Fellow of the Indian National Academy of Engineering (INAE) in 2006

Best Publications

  • MIMIC-III, a freely accessible critical care database

    Alistair E.W. Johnson;Tom J. Pollard;Lu Shen;Li-wei H. Lehman

  • What Is a Knowledge Representation

    Randall Davis;Howard E. Shrobe;Peter Szolovits

  • Knowledge representation

    Unknown

  • Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment

    Di Jin;Zhijing Jin;Joey Tianyi Zhou;Peter Szolovits

  • Position paper: The coming of age of artificial intelligence in medicine

    Vimla L. Patel;Edward H. Shortliffe;Mario Stefanelli;Peter Szolovits

  • Categorical and probabilistic reasoning in medical diagnosis

    Peter Szolovits;Stephen G. Pauker

  • Artificial intelligence, machine learning and health systems.

    Trishan Panch;Peter Szolovits;Rifat Atun

  • Evaluating the State-of-the-Art in Automatic De-identification

    Özlem Uzuner;Yuan Luo;Peter Szolovits

  • Automated de-identification of free-text medical records

    Ishna Neamatullah;Margaret M Douglass;Li-wei H Lehman;Andrew Tomas Reisner

  • What Disease Does This Patient Have? A Large-Scale Open Domain Question Answering Dataset from Medical Exams

    Di Jin;Eileen Pan;Nassim Oufattole;Wei-Hung Weng

  • Public standards and patients' control: how to keep electronic medical records accessible but private.

    Kenneth D Mandl;Peter Szolovits;Isaac S Kohane

  • Implementing electronic medical record systems in developing countries.

    Hamish S F Fraser;Paul Biondich;Deshen Moodley;Sharon Choi

  • An international effort towards developing standards for best practices in analysis, interpretation and reporting of clinical genome sequencing results in the CLARITY Challenge.

    Catherine A. Brownstein;Alan H. Beggs;Nils Homer;Barry Merriman

  • De-identification of patient notes with recurrent neural networks.

    Franck Dernoncourt;Ji Young Lee;Ozlem Uzuner;Peter Szolovits

  • Electronic Medical Records for Discovery Research in Rheumatoid Arthritis

    Katherine P. Liao;Tianxi Cai;Vivian Gainer;Sergey Goryachev

  • Causal understanding of patient illness in medical diagnosis

    Ramesh S. Patil;Peter Szolovits;William B. Schwartz

  • Artificial Intelligence in Medical Diagnosis

    Peter Szolovits;Ramesh S. Patil;William B. Schwartz

  • Development of phenotype algorithms using electronic medical records and incorporating natural language processing

    Katherine P Liao;Katherine P Liao;Tianxi Cai;Guergana K Savova;Shawn N Murphy

  • Unfolding physiological state: mortality modelling in intensive care units

    Marzyeh Ghassemi;Tristan Naumann;Finale Doshi-Velez;Nicole Brimmer

  • A multivariate timeseries modeling approach to severity of illness assessment and forecasting in ICU with sparse, heterogeneous clinical data

    Marzyeh Ghassemi;Marco A. F. Pimentel;Tristan Naumann;Thomas Brennan

  • Building National Electronic Medical Record Systems via the World Wide Web

    Isaac S. Kohane;Philip Greenspun;James C. Fackler;Christopher Cimino

  • Clinically Accurate Chest X-Ray Report Generation.

    Guanxiong Liu;Tzu-Ming Harry Hsu;Matthew B. A. McDermott;Willie Boag

Frequent Co-Authors

Isaac S. Kohane
Isaac S. Kohane Harvard University
Elizabeth W. Karlson
Elizabeth W. Karlson Brigham and Women's Hospital
Ashwin N. Ananthakrishnan
Ashwin N. Ananthakrishnan Harvard University
Robert M. Plenge
Robert M. Plenge Bristol Myers Squibb
Guergana Savova
Guergana Savova Harvard University
Özlem Uzuner
Özlem Uzuner George Mason University
Franck Dernoncourt
Franck Dernoncourt Adobe Systems (United States)
Kenneth D. Mandl
Kenneth D. Mandl Harvard Medical School
Philip L. De Jager
Philip L. De Jager Columbia University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring related online degrees can significantly broaden your career prospects in the field of Computer Science. Many professionals consider earning an online mba to develop strong business and leadership skills that complement technical expertise.

If you’re seeking to advance your qualifications rapidly, you might want to review the best one year masters programs available online for a streamlined academic experience. These programs are ideal for those who want to upskill without a lengthy time commitment.

Fast-tracking your entry into the workforce is also possible with quick degrees that pay well. Such degrees deliver specialized, in-demand training and open doors to lucrative job roles in tech-driven industries.

Additionally, with artificial intelligence rapidly transforming business and industry, pursuing one of the cheapest online masters in artificial intelligence can help you stay ahead in a competitive job market. Affordable options make advanced study accessible and practical for many students.

Best Scientists Citing Peter Szolovits

Trending Scientists

Recently Published Articles