World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
48
Citations
9785
World Ranking
6161
National Ranking
2766

Özlem Uzuner 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 Özlem Uzuner 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: 151 publications — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Özlem Uzuner 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 Özlem Uzuner 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: 48 D-Index — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Overview

Özlem Uzuner is affiliated with George Mason University in the United States. Their research is primarily focused on the field of Computer Science, with significant contributions in Artificial Intelligence, Molecular Biology, General Health Professions, Sociology and Political Science, and Information Systems.

Their work encompasses a range of topics, with notable emphasis on:

  • Topic Modeling
  • Biomedical Text Mining and Ontologies
  • Machine Learning in Healthcare
  • Natural Language Processing Techniques
  • Hate Speech and Cyberbullying Detection
  • Misinformation and Its Impacts
  • Food Security and Health in Diverse Populations

They have published extensively in prominent venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • Journal of the American Medical Informatics Association
  • Journal of Biomedical Informatics
  • ACM Transactions on Asian and Low-Resource Language Information Processing
  • JMIR Medical Informatics

Their recent papers show a diversity of collaborative and topical focus. Some selected recent publications are:

  • An Empirical Study of Machine learning Algorithms for Social Media Bot Detection (2021), 2021 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)
  • A Survey of Offensive Language Detection for the Arabic Language (2021), ACM Transactions on Asian and Low-Resource Language Information Processing
  • The 2019 n2c2/OHNLP Track on Clinical Semantic Textual Similarity: Overview (2020), JMIR Medical Informatics
  • The 2019 n2c2/UMass Lowell shared task on clinical concept normalization (2020), Journal of the American Medical Informatics Association
  • Large language models for biomedicine: foundations, opportunities, challenges, and best practices (2024), Journal of the American Medical Informatics Association

Özlem Uzuner collaborates regularly with several co-authors, including:

  • Meliha Yetişgen
  • Kevin Lybarger
  • Nicholas J Dobbins
  • Giridhar Kaushik Ramachandran
  • Fatemah Husain

Best Publications

  • 2010 i2b2/VA challenge on concepts, assertions, and relations in clinical text.

    Özlem Uzuner;Brett R South;Shuying Shen;Scott L DuVall

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

    Özlem Uzuner;Yuan Luo;Peter Szolovits

  • Extracting medication information from clinical text

    Özlem Uzuner;Imre Solti;Eithon Cadag

  • Evaluating temporal relations in clinical text: 2012 i2b2 Challenge.

    Weiyi Sun;Anna Rumshisky;Ozlem Uzuner

  • Identifying Patient Smoking Status from Medical Discharge Records

    Özlem Uzuner;Özlem Uzuner;Ira Goldstein;Yuan Luo;Isaac S. Kohane

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

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

  • Overcoming barriers to NLP for clinical text: the role of shared tasks and the need for additional creative solutions

    Wendy Webber Chapman;Prakash M. Nadkarni;Lynette Hirschman;Leonard W. D'Avolio;Leonard W. D'Avolio

  • Automated systems for the de-identification of longitudinal clinical narratives

    Amber Stubbs;Christopher Kotfila;Özlem Uzuner

  • 2018 n2c2 shared task on adverse drug events and medication extraction in electronic health records.

    Sam Henry;Kevin Buchan;Michele Filannino;Michele Filannino;Amber Stubbs

  • Viewpoint Paper: Recognizing Obesity and Comorbidities in Sparse Data

    Unknown

  • Annotating longitudinal clinical narratives for de-identification

    Amber Stubbs;Özlem Uzuner

  • Sentiment Analysis of Suicide Notes: A Shared Task.

    John P. Pestian;Pawel Matykiewicz;Michelle Linn-Gust;Brett R South

  • Evaluating the state of the art in coreference resolution for electronic medical records.

    Ozlem Uzuner;Andreea Bodnari;Shuying Shen;Tyler Forbush

  • Identifying risk factors for heart disease over time

    Amber Stubbs;Christopher Kotfila;Hua Xu;Özlem Uzuner

  • CLPsych 2019 Shared Task: Predicting the Degree of Suicide Risk in Reddit Posts

    Ayah Zirikly;Philip Resnik;Özlem Uzuner;Kristy Hollingshead

  • Community annotation experiment for ground truth generation for the i2b2 medication challenge.

    Özlem Uzuner;Imre Solti;Fei Xia;Eithon Cadag

  • Can Linguistic Predictors Detect Fraudulent Financial Filings

    Sunita Goel;Jagdish Gangolly;Sue R. Faerman;Ozlem Uzuner

  • A de-identifier for medical discharge summaries

    Özlem Uzuner;Tawanda C. Sibanda;Yuan Luo;Peter Szolovits

  • De-identification of psychiatric intake records: Overview of 2016 CEGS N-GRID shared tasks Track 1.

    Amber Stubbs;Michele Filannino;Özlem Uzuner

  • Machine Learning and Rule-based Approaches to Assertion Classification

    Özlem Uzuner;Özlem Uzuner;Özlem Uzuner;Xiaoran Zhang;Tawanda C. Sibanda

  • Methodological Review: Annotating temporal information in clinical narratives

    Weiyi Sun;Anna Rumshisky;Ozlem Uzuner

Frequent Co-Authors

Anna Rumshisky
Anna Rumshisky University of Massachusetts Lowell
Hua Xu
Hua Xu Yale University
Franck Dernoncourt
Franck Dernoncourt Adobe Systems (United States)
Jimmy Lin
Jimmy Lin University of Waterloo
Sushil Jajodia
Sushil Jajodia George Mason University
Pierre Zweigenbaum
Pierre Zweigenbaum University of Paris-Saclay
Isaac S. Kohane
Isaac S. Kohane Harvard 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 Computer Science in the USA opens doors to a range of related online degrees and diverse career pathways. Many students look into specialized programs to broaden their skills or transition into fields like data analysis, accounting, or project management.

When considering your options, cost is a key factor. For those interested in law and public safety, a cheap criminal justice degree offers an affordable way to build foundational knowledge and enter the workforce quickly. Alternatively, those aiming for business roles should compare the cost of accounting degree programs to find budget-friendly options with solid job prospects.

Professionals drawn to tech-forward roles can benefit from the best data science master's programs online, which provide in-demand analytical and programming expertise. Additionally, those interested in managing complex projects may consider a construction management degree online for a fast-tracked route into leadership roles in the construction industry.

Each pathway offers flexibility, affordability, and the potential for rewarding careers—making them excellent complements or alternatives to a Computer Science degree.

Best Scientists Citing Özlem Uzuner

Trending Scientists

Recently Published Articles