World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
5527
World Ranking
10319
National Ranking
249

Anita Burgun 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 Anita Burgun 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: 187 publications — 41st percentile

41% of scientists in this discipline score the same or lower.

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

Anita Burgun 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 Anita Burgun 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: 38 D-Index — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Overview

Anita Burgun is affiliated with Université Paris Cité in France, with a research focus spanning medicine, biochemistry, genetics, molecular biology, and computer science. Their work integrates multiple disciplines including artificial intelligence, molecular biology, genetics, infectious diseases, and neurology.

The main topics covered in their research include:

  • Biomedical Text Mining and Ontologies
  • Long-Term Effects of COVID-19
  • COVID-19 Clinical Research Studies
  • Genomics and Rare Diseases
  • Topic Modeling
  • Machine Learning in Healthcare
  • Radiomics and Machine Learning in Medical Imaging

They have contributed prominently to several recent papers, such as:

  • "Association between antidepressant use and reduced risk of intubation or death in hospitalized patients with COVID-19: results from an observational study" (2021, Molecular Psychiatry)
  • "International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium" (2020, npj Digital Medicine)
  • "Evolving phenotypes of non-hospitalized patients that indicate long COVID" (2021, BMC Medicine)
  • "Electronic health records for the diagnosis of rare diseases" (2020, Kidney International)
  • "Diagnosis support systems for rare diseases: a scoping review" (2020, Orphanet Journal of Rare Diseases)

Key frequent co-authors collaborating with Anita Burgun include Antoine Neuraz, Nicolas Garcelon, Bastien Rance, Mélodie Bernaux, and Alexandre Gramfort.

Their research has been published in a variety of venues, notably:

  • Studies in health technology and informatics
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Kidney International
  • JMIR Medical Informatics
  • Orphanet Journal of Rare Diseases

Within their multidisciplinary approach, the integration of artificial intelligence and machine learning techniques into healthcare data analysis is a consistent theme. This approach supports advances in understanding long-term outcomes of COVID-19, clinical profiles derived from electronic health records, and diagnostic support for rare diseases.

Best Publications

  • Aggregating UMLS semantic types for reducing conceptual complexity.

    Alexa T. McCray;Anita Burgun;Olivier Bodenreider

  • Big Data and machine learning in radiation oncology: State of the art and future prospects.

    Jean-Emmanuel Bibault;Philippe Giraud;Anita Burgun

  • International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium

    Gabriel A. Brat;Griffin M. Weber;Nils Gehlenborg;Paul Avillach

  • A clinician friendly data warehouse oriented toward narrative reports: Dr. Warehouse.

    Nicolas Garcelon;Antoine Neuraz;Rémi Salomon;Hassan Faour

  • The Ontology-Epistemology Divide: A Case Study in Medical Terminology

    Olivier Bodenreider;Barry Smith;Anita Burgun

  • NON-LEXICAL APPROACHES TO IDENTIFYING ASSOCIATIVE RELATIONS IN THE GENE ONTOLOGY

    Olivier Bodenreider;Marc Aubry;Anita Burgun

  • Adverse Drug Reaction Identification and Extraction in Social Media: A Scoping Review

    Jérémy Lardon;Redhouane Abdellaoui;Florelle Bellet;Hadyl Asfari

  • Translational research platforms integrating clinical and omics data: a review of publicly available solutions

    Vincent Canuel;Bastien Rance;Paul Avillach;Patrice Degoulet

  • Natural language processing of radiology reports for the detection of thromboembolic diseases and clinically relevant incidental findings

    Anne-Dominique Pham;Aurélie Névéol;Thomas Lavergne;Daisuke Yasunaga

  • Radiomics and Machine Learning for Radiotherapy in Head and Neck Cancers

    Paul Giraud;Philippe Giraud;Anne Gasnier;Radouane El Ayachy

  • Investigating subsumption in SNOMED CT: An exploration into large description logic-based biomedical terminologies

    Olivier Bodenreider;Barry Smith;Anand Kumar;Anita Burgun

  • Accessing and integrating data and knowledge for biomedical research.

    A. Burgun;O. Bodenreider

  • Modelling a decision-support system for oncology using rule-based and case-based reasoning methodologies

    Delphine Rossille;Delphine Rossille;Jean-François Laurent;Anita Burgun

  • Diagnosis support systems for rare diseases: a scoping review.

    Carole Faviez;Xiaoyi Chen;Nicolas Garcelon;Antoine Neuraz;Antoine Neuraz

  • A framework for validating AI in precision medicine: considerations from the European ITFoC consortium.

    Rosy Tsopra;Xose Fernandez;Claudio Luchinat;Lilia Alberghina

  • Electronic health records for the diagnosis of rare diseases

    Nicolas Garcelon;Nicolas Garcelon;Anita Burgun;Rémi Salomon;Antoine Neuraz;Antoine Neuraz

  • Comparing terms, concepts and semantic classes in WordNet and the Unified Medical Language System

    Anita Burgun;Olivier Bodenreider

  • Desiderata for domain reference ontologies in biomedicine

    Anita Burgun

  • Ontology and medical diagnosis.

    Valérie Bertaud-Gounot;Régis Duvauferrier;Anita Burgun

  • Investigating subsumption in DL-based terminologies: a case study in SNOMED CT

    Olivier Bodenreider;Barry Smith;Anand Kumar;Anita Burgun

  • A transversal approach to predict gene product networks from ontology-based similarity.

    Julie Chabalier;Jean Mosser;Anita Burgun

  • Mapping the UMLS Semantic Network into general ontologies.

    Anita Burgun;Olivier Bodenreider

  • Unsupervised,corpus-based method for extending a biomedical terminology

    Olivier Bodenreider;Thomas Rindflesch;Anita Burgun

  • International Electronic Health Record-Derived COVID-19 Clinical Course Profiles: The 4CE Consortium

    Gabriel A Brat;Griffin M Weber;Nils Gehlenborg;Paul Avillach

Frequent Co-Authors

Olivier Bodenreider
Olivier Bodenreider National Institutes of Health
Pierre Zweigenbaum
Pierre Zweigenbaum University of Paris-Saclay
Thomas C. Rindflesch
Thomas C. Rindflesch National Institutes of Health
Pierre Laurent-Puig
Pierre Laurent-Puig Université Paris Cité
Patrick Ruch
Patrick Ruch Swiss Institute of Bioinformatics
Cédric Lemogne
Cédric Lemogne Université Paris Cité
James J. Cimino
James J. Cimino University of Alabama at Birmingham
Sophie Saunier
Sophie Saunier Université Paris Cité
Stanislas Lyonnet
Stanislas Lyonnet Université Paris Cité

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