World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
64
Citations
17847
World Ranking
2580
National Ranking
1287

Suzanne Bakken 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 Suzanne Bakken 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: 386 publications — 86th percentile

86% of scientists in this discipline score the same or lower.

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

Suzanne Bakken 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 Suzanne Bakken 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: 64 D-Index — 82nd percentile

82% 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 - Member of the National Academy of Medicine (NAM)

Overview

Suzanne Bakken is affiliated with Columbia University in the United States. Their research spans multiple domains within health professions and medicine, with a notable focus on the intersection of healthcare and technology.

The main fields of study in their work include:

  • Health Professions
  • Medicine

The subfields they have contributed to are:

  • General Health Professions
  • Health Information Management
  • Public Health, Environmental and Occupational Health
  • Artificial Intelligence
  • Applied Psychology

Key topics covered in their research involve:

  • Mobile Health and mHealth Applications
  • Electronic Health Records Systems
  • Machine Learning in Healthcare
  • Artificial Intelligence in Healthcare and Education
  • Health Literacy and Information Accessibility
  • Biomedical Text Mining and Ontologies
  • Digital Mental Health Interventions

Suzanne Bakken has published multiple papers, with some recent works including:

  • "Artificial intelligence in nursing: Priorities and opportunities from an international invitational think-tank of the Nursing and Artificial Intelligence Leadership Collaborative," 2021, Journal of Advanced Nursing
  • "Identifying Symptom Information in Clinical Notes Using Natural Language Processing," 2020, Nursing Research
  • "Training for interdisciplinary health research defining the required competencies," 2020, PubMed
  • "Nursing documentation of symptoms is associated with higher risk of emergency department visits and hospitalizations in homecare patients," 2020, Nursing Outlook
  • "Divided We Stand," 2021, Proceedings of the ACM on Human-Computer Interaction

Frequent co-authors in their research include:

  • Noémie Elhadad
  • Ipek Ensari
  • Theresa A. Koleck
  • Maxim Topaz
  • Billy A. Caceres

The researcher has regularly published in venues such as:

  • Journal of the American Medical Informatics Association
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Nursing Outlook
  • JAMIA Open
  • AIDS and Behavior

Suzanne Bakken has been recognized as a Member of the National Academy of Medicine (NAM) since 2006.

Best Publications

  • How We Design Feasibility Studies

    Deborah J. Bowen;Matthew Kreuter;Bonnie Spring;Ludmila Cofta-Woerpel

  • A user-centered model for designing consumer mobile health (mHealth) applications (apps)

    Rebecca Schnall;Marlene Rojas;Suzanne Bakken;William Brown

  • Measurement of organizational culture and climate in healthcare.

    Robyn R. Gershon;Patricia W. Stone;Suzanne R. Bakken;Elaine L. Larson

  • Review of health information technology usability study methodologies

    Po-Yin Yen;Suzanne Bakken

  • Bridging the Digital Divide: Reaching Vulnerable Populations

    Betty L. Chang;Suzanne Bakken;S. Scott Brown;Thomas K. Houston

  • Natural language processing of symptoms documented in free-text narratives of electronic health records: a systematic review

    Theresa A. Koleck;Caitlin N. Dreisbach;Philip E. Bourne;Suzanne Bakken

  • Artificial intelligence in nursing: Priorities and opportunities from an international invitational think-tank of the Nursing and Artificial Intelligence Leadership Collaborative

    Charlene Esteban Ronquillo;Charlene Esteban Ronquillo;Laura Maria Peltonen;Lisiane Pruinelli;Charlene H. Chu

  • Patient engagement in the inpatient setting: a systematic review

    Jennifer E Prey;Janet Woollen;Lauren Wilcox;Alexander D Sackeim

  • Development, validation, and use of English and Spanish versions of the telemedicine satisfaction and usefulness questionnaire.

    Suzanne Bakken;Lorena Grullon-Figueroa;Roberto Izquierdo;Nam-Ju Lee

  • Nursing Needs Big Data and Big Data Needs Nursing

    Patricia Flatley Brennan;Suzanne Bakken

  • Trust, Perceived Risk, Perceived Ease of Use and Perceived Usefulness as Factors Related to mHealth Technology Use.

    Rebecca Schnall;Tracy Higgins;William Brown;Alex Carballo-Dieguez

  • A systematic review of natural language processing and text mining of symptoms from electronic patient-authored text data

    Caitlin N. Dreisbach;Theresa A. Koleck;Philip E. Bourne;Suzanne Bakken

  • Sometimes more is more: iterative participatory design of infographics for engagement of community members with varying levels of health literacy

    Adriana Arcia;Niurka Suero-Tejeda;Michael E Bales;Jacqueline A Merrill

  • Perceived nursing work environment of critical care nurses.

    Jeungok Choi;Suzanne Bakken;Elaine Larson;Yunling Du

  • Integrating community-based participatory research and informatics approaches to improve the engagement and health of underserved populations

    Kim M. Unertl;Christopher L. Schaefbauer;Terrance R. Campbell;Charles R. Senteio

  • An electronic health record based on structured narrative.

    Stephen B. Johnson;Suzanne Bakken;Daniel Dine;Sookyung Hyun

  • An informatics infrastructure is essential for evidence-based practice.

    Suzanne Bakken

  • Perceived Information Needs and Communication Difficulties of Inpatient Physicians and Nurses

    Lawrence K. McKnight;Peter D. Stetson;Suzanne Bakken;Christine Curran

  • Quantifying clinical narrative redundancy in an electronic health record.

    Jesse O Wrenn;Daniel M Stein;Suzanne Bakken;Peter D Stetson

  • mHealth Technology as a Persuasive Tool for Treatment, Care and Management of Persons Living with HIV.

    Rebecca Schnall;Suzanne Bakken;Marlene Rojas;Jasmine Travers

Frequent Co-Authors

James J. Cimino
James J. Cimino University of Alabama at Birmingham
George Hripcsak
George Hripcsak Columbia University
Chunhua Weng
Chunhua Weng Columbia University
Vimla L. Patel
Vimla L. Patel Columbia University
Elaine Larson
Elaine Larson Columbia University
Alex Carballo-Diéguez
Alex Carballo-Diéguez Columbia University
Stephen B. Johnson
Stephen B. Johnson Columbia University
Steven Feiner
Steven Feiner Columbia University
Kristine M. Gebbie
Kristine M. Gebbie Flinders University
Bernadette Boden-Albala
Bernadette Boden-Albala University of California, Irvine

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