World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
66
Citations
25316
World Ranking
2270
National Ranking
1135

Lucila Ohno-Machado 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 Lucila Ohno-Machado 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: 449 publications — 90th percentile

90% of scientists in this discipline score the same or lower.

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

Lucila Ohno-Machado 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 Lucila Ohno-Machado 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: 66 D-Index — 84th percentile

84% 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 - Member of the National Academy of Medicine (NAM)
  • 2007 - Fellow of the Indian National Academy of Engineering (INAE)

Overview

Lucila Ohno-Machado is affiliated with the University of California, San Diego in the United States. Their research primarily focuses on the field of Medicine with significant contributions across several subfields including Artificial Intelligence, Public Health, Environmental and Occupational Health, Genetics, Cardiology and Cardiovascular Medicine, and General Health Professions.

Their work covers multiple topical areas such as Machine Learning in Healthcare, Ethics in Clinical Research, Privacy-Preserving Technologies in Data, Inflammatory Bowel Disease, Blockchain Technology Applications and Security, Microscopic Colitis, and Data Quality and Management.

Frequent coauthors in Lucila Ohno-Machado's research include:

  • Andrea H. Ramirez
  • Kelsey Mayo
  • Sheri D. Schully
  • Kelly A. Gebo
  • Tsung-Ting Kuo

The primary venues where this researcher frequently publishes include the following:

  • Journal of the American Medical Informatics Association
  • bioRxiv (Cold Spring Harbor Laboratory)
  • PLoS ONE
  • Clinical Gastroenterology and Hepatology
  • arXiv (Cornell University)

Significant recent papers authored with publication year and venue are:

  • "A tutorial on calibration measurements and calibration models for clinical prediction models", 2020, Journal of the American Medical Informatics Association
  • "The All of Us Research Program: Data quality, utility, and diversity", 2022, Patterns
  • "Privacy challenges and research opportunities for genomic data sharing", 2020, Nature Genetics
  • "Guiding Principles to Address the Impact of Algorithm Bias on Racial and Ethnic Disparities in Health and Health Care", 2023, JAMA Network Open
  • "Severe aortic stenosis detection by deep learning applied to echocardiography", 2023, European Heart Journal

Lucila Ohno-Machado has been recognized with memberships and fellowships including being a Member of the National Academy of Medicine since 2018 and a Fellow of the Indian National Academy of Engineering since 2007.

Best Publications

  • Pan-cancer analysis of whole genomes

    Peter J. Campbell;Gad Getz;Jan O. Korbel;Joshua M. Stuart

  • Logistic regression and artificial neural network classification models: a methodology review

    Stephan Dreiseitl;Lucila Ohno-Machado

  • Natural language processing: an introduction.

    Prakash M. Nadkarni;Lucila Ohno-Machado;Wendy Webber Chapman

  • 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

  • Blockchain distributed ledger technologies for biomedical and health care applications

    Tsung-Ting Kuo;Hyeon-Eui Kim;Lucila Ohno-Machado;Lucila Ohno-Machado

  • The use of receiver operating characteristic curves in biomedical informatics

    Thomas A. Lasko;Jui G. Bhagwat;Kelly H. Zou;Lucila Ohno-Machado

  • Analysis of matched mRNA measurements from two different microarray technologies

    Winston Patrick Kuo;Tor Kristian Jenssen;Atul J. Butte;Lucila Ohno-Machado

  • The guideline interchange format: a model for representing guidelines.

    Lucila Ohno-Machado;John H. Gennari;Shawn N. Murphy;Nilesh L. Jain

  • Reviewing social media use by clinicians.

    Marcio von Muhlen;Lucila Ohno-Machado

  • GLIF3: the evolution of a guideline representation format.

    Mor Peleg;Aziz A. Boxwala;Omolola Ogunyemi;Qing T. Zeng

  • A tutorial on calibration measurements and calibration models for clinical prediction models.

    Yingxiang Huang;Wentao Li;Fima Macheret;Rodney A Gabriel

  • A comparison of machine learning methods for the diagnosis of pigmented skin lesions

    Stephan Dreiseitl;Lucila Ohno-Machado;Harald Kittler;Staal Vinterbo

  • Comparison of blockchain platforms: a systematic review and healthcare examples.

    Tsung-Ting Kuo;Hugo Zavaleta Rojas;Lucila Ohno-Machado;Lucila Ohno-Machado

  • Privacy challenges and research opportunities for genomic data sharing.

    Luca Bonomi;Yingxiang Huang;Lucila Ohno-Machado;Lucila Ohno-Machado

  • ModelChain: Decentralized Privacy-Preserving Healthcare Predictive Modeling Framework on Private Blockchain Networks

    Tsung-Ting Kuo;Lucila Ohno-Machado

  • "Big data" and the electronic health record.

    M. K. Ross;Wei Wei;L. Ohno-Machado

  • Grid Binary LOgistic REgression (GLORE): building shared models without sharing data.

    Yuan Wu;Xiaoqian Jiang;Jihoon Kim;Lucila Ohno-Machado

  • Calibrating predictive model estimates to support personalized medicine.

    Xiaoqian Jiang;Melanie Osl;Jihoon Kim;Lucila Ohno-Machado

  • Comparing three-class diagnostic tests by three-way ROC analysis.

    Stephan Dreiseitl;Lucila Ohno-Machado;Michael Binder

  • A sequence-oriented comparison of gene expression measurements across different hybridization-based technologies

    Winston Patrick Kuo;Winston Patrick Kuo;Fang Liu;Jeff Trimarchi;Claudio Punzo

  • Modeling medical prognosis: survival analysis techniques

    Lucila Ohno-Machado

Frequent Co-Authors

Xiaoqian Jiang
Xiaoqian Jiang The University of Texas Health Science Center at Houston
Robert A. Greenes
Robert A. Greenes Arizona State University
Siddharth Singh
Siddharth Singh University of California, San Diego
Hua Xu
Hua Xu Yale University
William J. Sandborn
William J. Sandborn University of California, San Diego
Isaac S. Kohane
Isaac S. Kohane Harvard University
Jane C. Burns
Jane C. Burns University of California, San Diego
Li Xiong
Li Xiong Emory University
Susanna-Assunta Sansone
Susanna-Assunta Sansone University of Oxford
Haixu Tang
Haixu Tang Indiana University

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