World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
38
Citations
6493
World Ranking
7994
National Ranking
2203

Elmer V. Bernstam publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Elmer V. Bernstam sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 171 publications — 36th percentile

36% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Elmer V. Bernstam D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Elmer V. Bernstam sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 38 D-Index — 20th percentile

20% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Elmer V. Bernstam is affiliated with The University of Texas Health Science Center at Houston in the United States. Their research primarily focuses on Medicine, with notable contributions in subfields such as Artificial Intelligence, Epidemiology, Health Information Management, General Health Professions, and Molecular Biology.

Their work extensively covers topics including Biomedical Text Mining and Ontologies, Electronic Health Records Systems, Artificial Intelligence in Healthcare and Education, Sepsis Diagnosis and Treatment, Topic Modeling, Machine Learning in Healthcare, and Data Quality and Management.

Bernstam has published numerous papers, with some recent ones including:

  • Validation of an Electronic Health Record-Based Suicide Risk Prediction Modeling Approach Across Multiple Health Care Systems, 2020, JAMA Network Open
  • Synergies between centralized and federated approaches to data quality: a report from the national COVID cohort collaborative, 2021, Journal of the American Medical Informatics Association
  • Automatic classification of scanned electronic health record documents, 2020, International Journal of Medical Informatics
  • SCOR: A secure international informatics infrastructure to investigate COVID-19, 2020, Journal of the American Medical Informatics Association
  • Quantitating and assessing interoperability between electronic health records, 2021, Journal of the American Medical Informatics Association

Frequent coauthors in their research include Xiaoqian Jiang, Michele Morris, Hua Xu, Linda T. Li, and Heath Goodrum.

Bernstam's research contributions have been published predominantly in the following venues:

  • Journal of the American Medical Informatics Association (10 publications)
  • Journal of Biomedical Informatics (7 publications)
  • bioRxiv (Cold Spring Harbor Laboratory) (7 publications)
  • International Journal of Medical Informatics (4 publications)
  • Applied Clinical Informatics (3 publications)

Best Publications

  • Caveats for the use of operational electronic health record data in comparative effectiveness research.

    William R. Hersh;Mark G. Weiner;Peter J. Embi;Judith R. Logan

  • Social support in an Internet weight loss community

    Kevin O. Hwang;Allison J. Ottenbacher;Angela P. Green;Angela P. Green;M. Roseann Cannon-Diehl

  • GLIF3: the evolution of a guideline representation format.

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

  • Instruments to assess the quality of health information on the World Wide Web: what can our patients actually use?

    Elmer V. Bernstam;Dawn M. Shelton;Muhammad F. Walji;Funda Meric-Bernstam

  • Accuracy and self correction of information received from an internet breast cancer list: Content analysis

    Adol Esquivel;Funda Meric-Bernstam;Elmer V Bernstam

  • A Nondegenerate Code of Deleterious Variants in Mendelian Loci Contributes to Complex Disease Risk

    David R. Blair;Christopher S. Lyttle;Jonathan M. Mortensen;Charles F. Bearden

  • A Decision Support Framework for Genomically Informed Investigational Cancer Therapy

    Funda Meric-Bernstam;Amber Johnson;Vijaykumar Holla;Ann Marie Bailey

  • A day in the life of PubMed: analysis of a typical day's query log.

    Jorge R. Herskovic;Len Y. Tanaka;William R. Hersh;Elmer V. Bernstam;Elmer V. Bernstam

  • The SMART Platform: early experience enabling substitutable applications for electronic health records.

    Kenneth David Mandl;Kenneth David Mandl;Joshua Mandel;Joshua Mandel;Shawn Norman Murphy;Shawn Norman Murphy;Elmer Victor Bernstam

  • What is biomedical informatics

    Elmer V. Bernstam;Jack W. Smith;Todd R. Johnson

  • Efficacy of quality criteria to identify potentially harmful information: a cross-sectional survey of complementary and alternative medicine web sites.

    Muhammad F Walji;Smitha Sagaram;Deepak Sagaram;Funda Meric-Bernstam

  • Commonly cited website quality criteria are not effective at identifying inaccurate online information about breast cancer.

    Elmer V. Bernstam;Muhammad F. Walji;Smitha Sagaram;Deepak Sagaram

  • Using Citation Data to Improve Retrieval from MEDLINE

    Elmer V. Bernstam;Jorge R. Herskovic;Yindalon Aphinyanaphongs;Constantin F. Aliferis

  • Scalable Collaborative Infrastructure for a Learning Healthcare System (SCILHS): architecture.

    Kenneth D. Mandl;Isaac S. Kohane;Douglas McFadden;Griffin M. Weber

  • Validation of an Electronic Health Record-Based Suicide Risk Prediction Modeling Approach Across Multiple Health Care Systems

    Yuval Barak-Corren;Victor M. Castro;Matthew K. Nock;Kenneth D. Mandl;Kenneth D. Mandl

  • Matching identifiers in electronic health records: implications for duplicate records and patient safety

    Allison B McCoy;Adam Wright;Adam Wright;Michael G Kahn;Jason S Shapiro

  • Cross-terminology mapping challenges

    Himali Saitwal;David Qing;Stephen Jones;Elmer V. Bernstam

  • Sharable representation of clinical guidelines in GLIF: relationship to the Arden syntax

    Mor Peleg;Aziz A. Boxwala;Elmer Bernstam;Samson Tu

  • Toward Standardization of Electronic Guideline Representation

    Mor Peleg;Ronilda C. Lacson;Elmer V. Bernstam;Aziz A. Boxwala

  • Biases introduced by filtering electronic health records for patients with "complete data".

    Griffin M Weber;Griffin M Weber;William G Adams;Elmer V Bernstam;Jonathan P Bickel

  • Quality of weight loss advice on Internet forums

    Kevin O. Hwang;Kiran Farheen;Craig W. Johnson;Eric J. Thomas

  • Measuring social support for weight loss in an internet weight loss community.

    Kevin O Hwang;Allison J Ottenbacher;Joseph F Lucke;Jason M Etchegaray

  • Usability of quality measures for online health information: Can commonly used technical quality criteria be reliably assessed?

    Elmer V. Bernstam;Smitha Sagaram;Muhammad F. Walji;Craig W. Johnson

  • The SMART Platform: early experience enabling substitutable applications for electronic health records

    K. D. Mandl;J. C. Mandel;S. N. Murphy;E. V. Bernstam

  • Synergies and Distinctions between Computational Disciplines in Biomedical Research: Perspective from the Clinical and Translational Science Award Programs

    Elmer V. Bernstam;William R. Hersh;Stephen B. Johnson;Christopher G. Chute

  • Precision Oncology Decision Support: Current Approaches and Strategies for the Future.

    Katherine C Kurnit;Ecaterina E Ileana Dumbrava;Beate Christiane Litzenburger;Yekaterina B Khotskaya

  • Healthcare information technology and economics

    Thomas H. Payne;David W. Bates;Eta S. Berner;Elmer V. Bernstam

  • "Personalized Cancer Therapy": A Publicly Available Precision Oncology Resource.

    Katherine C. Kurnit;Ann M. Bailey;Jia Zeng;Amber M. Johnson

  • SCOR: A secure international informatics infrastructure to investigate COVID-19.

    Jean Louis Raisaro;Francesco Marino;Juan Ramón Troncoso-Pastoriza;Raphaelle Beau-Lejdstrom

  • Precision medicine informatics.

    Lewis J Frey;Elmer V Bernstam;Joshua C Denny

  • Artificial intelligence in clinical and translational science: Successes, challenges and opportunities.

    Elmer V. Bernstam;Paula K. Shireman;Paula K. Shireman;Funda Meric-Bernstam;Meredith N. Zozus

Frequent Co-Authors

Funda Meric-Bernstam
Funda Meric-Bernstam The University of Texas MD Anderson Cancer Center
Trevor Cohen
Trevor Cohen University of Washington
Hua Xu
Hua Xu Yale University
Kenneth D. Mandl
Kenneth D. Mandl Harvard Medical School
William R. Hersh
William R. Hersh Oregon Health & Science University
Robert A. Greenes
Robert A. Greenes Arizona State University
Edward H. Shortliffe
Edward H. Shortliffe Columbia University
Gordon B. Mills
Gordon B. Mills Oregon Health & Science University
Mor Peleg
Mor Peleg University of Haifa
Samson W. Tu
Samson W. Tu Stanford University

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