World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
82
Citations
21765
World Ranking
981
National Ranking
528

Dean F. Sittig 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 Dean F. Sittig 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: 408 publications — 88th percentile

88% of scientists in this discipline score the same or lower.

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

Dean F. Sittig 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 Dean F. Sittig 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: 82 D-Index — 94th percentile

94% of scientists in this discipline score the same or lower.

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

Overview

Dean F. Sittig is affiliated with The University of Texas Health Science Center at Houston in the United States. Their work primarily spans the fields of Health Professions and Medicine, with a focus on subfields such as Health Information Management, Public Health, Environmental and Occupational Health, Artificial Intelligence, General Health Professions, and Family Practice.

Their research addresses key topics including Electronic Health Records Systems, Ethics in Clinical Research, Machine Learning in Healthcare, Clinical Reasoning and Diagnostic Skills, Biomedical Text Mining and Ontologies, Artificial Intelligence in Healthcare and Education, and Patient Safety and Medication Errors.

The scientist has contributed to multiple venues regularly, with notable frequent publications in the Journal of the American Medical Informatics Association, Applied Clinical Informatics, bioRxiv (Cold Spring Harbor Laboratory), JAMA, and the Journal of Healthcare Risk Management.

Notable recent papers authored or co-authored by them include:

  • Using AI-generated suggestions from ChatGPT to optimize clinical decision support, 2023, Journal of the American Medical Informatics Association
  • COVID-19 and the Need for a National Health Information Technology Infrastructure, 2020, JAMA
  • Assessing the Value of ChatGPT for Clinical Decision Support Optimization, 2023, bioRxiv (Cold Spring Harbor Laboratory)
  • Toward a responsible future: recommendations for AI-enabled clinical decision support, 2024, Journal of the American Medical Informatics Association
  • A Sociotechnical Framework for Safety-Related Electronic Health Record Research Reporting: The SAFER Reporting Framework, 2020, Annals of Internal Medicine

Dean F. Sittig has worked extensively with several co-authors, including Adam Wright, Hardeep Singh, Xia Jing, Paul Biondich, and David J. Robinson.

They have also contributed to scholarly literature through published books. One such publication is Improving Outcomes with Clinical Decision Support, released in 2020 by HIMSS Publishing eBooks.

Best Publications

  • Types of Unintended Consequences Related to Computerized Provider Order Entry

    Emily M. Campbell;Dean F. Sittig;Joan S. Ash;Kenneth P. Guappone

  • Grand challenges in clinical decision support

    Dean F. Sittig;Adam Wright;Jerome A. Osheroff;Blackford Middleton

  • A new sociotechnical model for studying health information technology in complex adaptive healthcare systems

    Dean F Sittig;Hardeep Singh

  • The Extent and Importance of Unintended Consequences Related to Computerized Provider Order Entry

    Joan S. Ash;Dean F. Sittig;Eric G. Poon;Kenneth Guappone

  • Improving Outcomes with Clinical Decision Support : An Implementer's Guide

    Jerome A. Osheroff;Jonathan M. Teich;Donald Levick;Luis Saldana

  • Computer-based Physician Order Entry: The State of the Art

    Dean F. Sittig;William W. Stead

  • The emerging science of very early detection of disease outbreaks.

    Michael M. Wagner;Fu-Chiang Tsui;Jeremy U. Espino;Virginia M. Dato

  • Some unintended consequences of clinical decision support systems.

    Joan S. Ash;Dean F. Sittig;Emily M. Campbell;Kenneth P. Guappone

  • Categorizing the unintended sociotechnical consequences of computerized provider order entry.

    Joan S. Ash;Dean F. Sittig;Richard H. Dykstra;Kenneth Guappone

  • Clinical Decision Support: a 25 Year Retrospective and a 25 Year Vision

    B. Middleton;D. F. Sittig;A. Wright

  • Electronic health records and national patient-safety goals.

    Dean F. Sittig;Hardeep Singh;Hardeep Singh

  • The Unintended Consequences of Computerized Provider Order Entry: Findings From a Mixed Methods Exploration

    Joan S. Ash;Dean F. Sittig;Richard H. Dykstra;Emily M. Campbell

  • An analysis of electronic health record-related patient safety concerns.

    Derek W Meeks;Derek W Meeks;Michael W Smith;Michael W Smith;Lesley Taylor;Dean F Sittig

  • Information Overload and Missed Test Results in Electronic Health Record–Based Settings

    Hardeep Singh;Hardeep Singh;Christiane Spitzmueller;Nancy J. Petersen;Nancy J. Petersen;Mona K. Sawhney;Mona K. Sawhney

  • Defining Health Information Technology–Related Errors: New Developments Since To Err Is Human

    Dean F. Sittig;Hardeep Singh

  • Clinical decision support in electronic prescribing: recommendations and an action plan: report of the joint clinical decision support workgroup.

    Jonathan M. Teich;Jerome A. Osheroff;Eric A. Pifer;Dean F. Sittig

  • Patient portals and health apps: Pitfalls, promises, and what one might learn from the other.

    Jessica L. Baldwin;Jessica L. Baldwin;Hardeep Singh;Dean F. Sittig;Traber Davis Giardina

  • The use of sequential pattern mining to predict next prescribed medications

    Aileen P. Wright;Adam T. Wright;Allison B. McCoy;Dean F. Sittig

  • Notification of Abnormal Lab Test Results in an Electronic Medical Record: Do Any Safety Concerns Remain?

    Hardeep Singh;Eric J. Thomas;Dean F. Sittig;Lindsey Wilson

  • Evaluating physician satisfaction regarding user interactions with an electronic medical record system.

    Dean F. Sittig;Gilad J. Kuperman;Julie M. Fiskio

Frequent Co-Authors

Adam Wright
Adam Wright Vanderbilt University Medical Center
Hardeep Singh
Hardeep Singh Baylor College of Medicine
David W. Bates
David W. Bates Brigham and Women's Hospital
Blackford Middleton
Blackford Middleton Harvard University
Perry L. Miller
Perry L. Miller Yale University
Stephen B. Soumerai
Stephen B. Soumerai Harvard University
Michael J. Franklin
Michael J. Franklin University of Chicago
Tejal K. Gandhi
Tejal K. Gandhi Press Ganey
Farah Magrabi
Farah Magrabi Macquarie University
David Gelernter
David Gelernter Yale 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 online degrees is a practical way to jumpstart a computer science career or advance your skills. Many students are drawn to shortest master degree programs because of their accelerated timelines, allowing graduates to enter the workforce or move up in their careers sooner. These programs are ideal for those seeking efficiency without compromising on quality.

For those who want to maximize their investment, it’s helpful to consider masters degrees that are worth it. These in-demand programs focus on skills and knowledge that employers are actively seeking—making them especially valuable in today’s tech job market.

If you're starting your academic journey, online associates degrees in computer science offer a strong foundation and flexible learning options. These degrees can provide essential tech skills and serve as a stepping stone toward further education.

Budget-conscious learners can also explore the cheapest online degrees to save money while still earning a reputable credential. These programs make higher education accessible to a wider range of students aspiring to careers in technology.

Best Scientists Citing Dean F. Sittig

Trending Scientists

Recently Published Articles