World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
4988
World Ranking
12631
National Ranking
207

Christian Lovis 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 Christian Lovis 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: 296 publications — 73rd percentile

73% of scientists in this discipline score the same or lower.

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

Christian Lovis 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 Christian Lovis 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: 33 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

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

Overview

Christian Lovis is affiliated with the University of Geneva in Switzerland and has a substantial body of work spanning the fields of Medicine and Computer Science. Their research primarily intersects artificial intelligence applications in healthcare, with considerable attention to biomedical text mining, machine learning, and natural language processing techniques.

They have authored and co-authored papers on various topics including the evaluation of interpretability methods in time-series classification, the use of standardized clinical terminologies in healthcare text processing, and guidelines for digital health implementation reporting.

  • Evaluation of post-hoc interpretability methods in time-series classification, 2023, Nature Machine Intelligence
  • Use of the Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT) for Processing Free Text in Health Care: Systematic Scoping Review, 2020, Journal of Medical Internet Research
  • iCHECK-DH: Guidelines and Checklist for the Reporting on Digital Health Implementations, 2023, Journal of Medical Internet Research
  • Prompt Engineering Paradigms for Medical Applications: Scoping Review, 2024, Journal of Medical Internet Research
  • Hypothermic Cardiac Arrest - Retrospective cohort study from the International Hypothermia Registry, 2021, Resuscitation

Frequent co-authors who have collaborated extensively with Christian Lovis include Christophe Gaudet-Blavignac, Mina Bjelogrlic, Jamil Zaghir, Hugues Turbé, and Jean-Philippe Goldman. These collaborations reflect a network of researchers in medical informatics and related areas.

Their research outputs are published predominantly in journals and venues focused on health informatics and medical internet research, including:

  • Studies in Health Technology and Informatics
  • JMIR Medical Informatics
  • Zenodo (CERN European Organization for Nuclear Research)
  • Journal of Medical Internet Research
  • arXiv (Cornell University)

Christian Lovis's work covers several specialized subfields including artificial intelligence, general health professions, molecular biology, cardiology and cardiovascular medicine, and epidemiology. Key research topics include biomedical text mining and ontologies, topic modeling, machine learning applications in healthcare, mobile health and mHealth applications, electronic health records systems, natural language processing techniques, and cardiac arrest and resuscitation.

They have contributed to academic book publications as well, notably participating in the compilation titled Digital Personalized Health and Medicine: Proceedings of MIE 2020, published by Medical Informatics Europe in 2020.

Best Publications

  • Patient-centered Applications: Use of Information Technology to Promote Disease Management and Wellness. A White Paper by the AMIA Knowledge in Motion Working Group

    George Demiris;Lawrence B. Afrin;Stuart M. Speedie;Karen L. Courtney

  • Clinical Data Reuse or Secondary Use: Current Status and Potential Future Progress.

    S M Meystre;Christian Lovis;T Bürkle;G Tognola

  • Considerations for ethics review of big data health research: A scoping review

    Marcello Ienca;Agata Ferretti;Samia Hurst;Milo Puhan

  • Evaluating user interactions with clinical information systems: a model based on human-computer interaction models

    Christelle Despont-Gros;Henning Mueller;Christian Lovis

  • A Risk Analysis Method to Evaluate the Impact of a Computerized Provider Order Entry System on Patient Safety

    Pascal Bonnabry;Christelle Despont-Gros;Damien Grauser;Pierre Casez

  • Preparation and Use of Preconstructed Orders, Order Sets, and Order Menus in a Computerized Provider Order Entry System

    Thomas H. Payne;Patricia J. Hoey;W. Paul Nichol;Christian Lovis

  • Telemedicine in Western Africa: lessons learned from a pilot project in Mali, perspectives and recommendations.

    Antoine Geissbuhler;Ousmane Ly;Christian Lovis;Jean-François L’Haire

  • Use and Understanding of Anonymization and De-Identification in the Biomedical Literature: Scoping Review

    Raphaël Chevrier;Raphaël Chevrier;Vasiliki Foufi;Vasiliki Foufi;Christophe Gaudet-Blavignac;Christophe Gaudet-Blavignac;Arnaud Robert;Arnaud Robert

  • Using argumentation to extract key sentences from biomedical abstracts.

    Patrick Ruch;Celia Boyer;Christine Chichester;Imad Tbahriti;Imad Tbahriti

  • Automatic medical encoding with SNOMED categories

    Patrick Ruch;Julien Gobeill;Christian Lovis;Antoine Geissbühler

  • Power of expression in the electronic patient record: structured data or narrative text?

    Christian Lovis;Robert H Baud;Pierre Planche

  • Handheld vs. Laptop Computers for Electronic Data Collection in Clinical Research: A Crossover Randomized Trial

    Guy Serge Antoine Haller;Guy Serge Antoine Haller;Dagmar M. Haller;Dagmar M. Haller;Delphine Courvoisier;Christian Lovis

  • Use of the Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT) for Processing Free Text in Health Care: Systematic Scoping Review

    Christophe Gaudet-Blavignac;Christophe Gaudet-Blavignac;Vasiliki Foufi;Vasiliki Foufi;Mina Bjelogrlic;Mina Bjelogrlic;Christian Lovis;Christian Lovis

  • Status of health information exchange: a comparison of six countries.

    Thomas H Payne;Christian Lovis;Charles Gutteridge;Claudia Pagliari

  • Word segmentation processing: a way to exponentially extend medical dictionaries.

    Lovis C;Michel Pa;Baud R;Scherrer

  • Mining of Textual Health Information from Reddit: Analysis of Chronic Diseases With Extracted Entities and Their Relations

    Vasiliki Foufi;Vasiliki Foufi;Tatsawan Timakum;Christophe Gaudet-Blavignac;Christophe Gaudet-Blavignac;Christian Lovis;Christian Lovis

  • Electronic patient records: moving from islands and bridges towards electronic health records for continuity of care.

    Petra Knaup;Oliver Bott;Christian Kohl;Christian Lovis

  • Medical dictionaries for patient encoding systems: a methodology

    Christian Lovis;Robert H. Baud;Anne-Marie Rassinoux;Pierre-André Michel

  • Comprehensive management of the access to the electronic patient record: towards trans-institutional networks.

    Christian Lovis;Stéphane Spahni;Nicolas Cassoni;Antoine Geissbuhler

  • Attitude of physicians towards automatic alerting in computerized physician order entry systems. A comparative international survey.

    M. Jung;A. Hoerbst;W. O. Hackl;F. Kirrane

  • DebugIT for patient safety - improving the treatment with antibiotics through multimedia data mining of heterogeneous clinical data.

    Christian Lovis;Dirk Colaert;Veli N. Stroetmann

  • Methodological Review Evaluating user interactions with clinical information systems: A model based on human-computer interaction models

    Christelle Despont-Gros;Henning Mueller;Christian Lovis

Frequent Co-Authors

Patrick Ruch
Patrick Ruch Swiss Institute of Bioinformatics
Antoine Geissbuhler
Antoine Geissbuhler University of Geneva
Henning Müller
Henning Müller University of Applied Sciences and Arts Western Switzerland
François Mach
François Mach University of Geneva
Arie Hasman
Arie Hasman University of Amsterdam
Christian van Delden
Christian van Delden University of Geneva
Sabine Koch
Sabine Koch Karolinska Institute
Claudia Pagliari
Claudia Pagliari University of Edinburgh
Denis F. Hochstrasser
Denis F. Hochstrasser University of Geneva
Pierre-Yves Bochud
Pierre-Yves Bochud University of Lausanne

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