World's Best Scientists 2026 revealed!
Susanna-Assunta Sansone

Susanna-Assunta Sansone

D-Index & Metrics

Computer Science

D-Index
64
Citations
39851
World Ranking
2508
National Ranking
142

Susanna-Assunta Sansone 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 Susanna-Assunta Sansone 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: 226 publications — 55th percentile

55% of scientists in this discipline score the same or lower.

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

Susanna-Assunta Sansone 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 Susanna-Assunta Sansone 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: 64 D-Index — 82nd percentile

82% of scientists in this discipline score the same or lower.

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

Overview

Susanna-Assunta Sansone is a researcher affiliated with the University of Oxford in the United Kingdom. Their work spans multiple areas of study, primarily focused on computer science and decision sciences. Within these main fields, Sansone has specialized interests in information systems, information systems and management, molecular biology, artificial intelligence, and radiology, nuclear medicine, and imaging.

The primary research topics covered by Sansone include research data management practices, scientific computing and data management, biomedical text mining and ontologies, COVID-19 diagnosis using artificial intelligence, data quality and management, artificial intelligence applications in healthcare and education, and AI in cancer detection.

Sansone's recent publications highlight a range of significant contributions across various interdisciplinary venues. Notable papers include:

  • Transparency and reproducibility in artificial intelligence, 2020, published in Nature
  • Reporting guidelines for human microbiome research: the STORMS checklist, 2021, published in Nature Medicine
  • Enabling reusability of plant phenomic datasets with MIAPPE 1.1, 2020, published in New Phytologist
  • COVID-19 pandemic reveals the peril of ignoring metadata standards, 2020, published in Scientific Data
  • The FAIR Cookbook - the essential resource for and by FAIR doers, 2023, published in Scientific Data

Sansone frequently collaborates with other researchers. Regular co-authors include Philippe Rocca-Serra, Nick Juty, Carole Goble, Romain David, and Allyson Lister. These collaborations have contributed to the development and dissemination of standards and best practices within data management and artificial intelligence research.

The venues where Sansone often publishes reflect their interdisciplinary work and include Zenodo (CERN European Organization for Nuclear Research), Scientific Data, F1000Research, HAL (Le Centre pour la Communication Scientifique Directe), and GigaScience. Zenodo represents the largest number of publications, followed by multiple papers in Scientific Data and F1000Research.

Best Publications

  • The FAIR Guiding Principles for scientific data management and stewardship

    Mark D Wilkinson;Michel Dumontier;IJsbrand Jan Aalbersberg;Gabrielle Appleton

  • The OBO Foundry : coordinated evolution of ontologies to support biomedical data integration

    Barry Smith;Michael Ashburner;Cornelius Rosse;Jonathan Bard

  • Addendum: The FAIR Guiding Principles for scientific data management and stewardship

    Mark D. Wilkinson;Michel Dumontier;Ijsbrand Jan Aalbersberg;Gabrielle Appleton

  • The minimum information about a genome sequence (MIGS) specification.

    Dawn Field;George Garrity;Tanya Gray;Norman Morrison

  • ArrayExpress—a public repository for microarray gene expression data at the EBI

    Helen E. Parkinson;Ugis Sarkans;Mohammadreza Shojatalab;Niran Abeygunawardena

  • A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium

    Zhenqiang Su;Paweł P. Łabaj;Sheng Li;Jean Thierry-Mieg

  • MetaboLights—an open-access general-purpose repository for metabolomics studies and associated meta-data

    Kenneth Haug;Reza M. Salek;Pablo Conesa;Janna Hastings

  • Promoting coherent minimum reporting guidelines for biological and biomedical investigations: the MIBBI project

    Chris F. Taylor;Chris F. Taylor;Dawn Field;Susanna Assunta Sansone;Susanna Assunta Sansone;Jan Aerts

  • The metabolomics standards initiative (MSI)

    Oliver Fiehn;Don Robertson;Jules Griffin;Mariet vab der Werf

  • ArrayExpress update—from an archive of functional genomics experiments to the atlas of gene expression

    Helen E. Parkinson;Misha Kapushesky;Nikolay Kolesnikov;Gabriella Rustici

  • Toward interoperable bioscience data

    Susanna-Assunta Sansone;Philippe Rocca-Serra;Dawn Field;Eamonn Maguire

  • FAIR principles : interpretations and implementation considerations

    Annika Jacobsen;Ricardo de Miranda Azevedo;Nick S. Juty;Dominique Batista

  • The Metabolomics Standards Initiative

    Susanna Assunta Sansone;Teresa Fan;Royston Goodacre;Julian L. Griffin

  • The Ontology for Biomedical Investigations

    Anita Bandrowski;Ryan Brinkman;Mathias Brochhausen;Matthew H. Brush

  • ISA software suite

    Philippe Rocca-Serra;Marco Brandizi;Eamonn Maguire;Eamonn Maguire;Nataliya Sklyar

  • FAIRsharing as a community approach to standards, repositories and policies

    Susanna-Assunta Sansone;Peter McQuilton;Philippe Rocca-Serra;Alejandra Gonzalez-Beltran

  • Summary recommendations for standardization and reporting of metabolic analyses.

    John C Lindon;Jeremy K Nicholson;Elaine Holmes;Hector C Keun

  • Modeling biomedical experimental processes with OBI

    Ryan R Brinkman;Mélanie Courtot;Dirk Derom;Jennifer M Fostel

  • The MGED Ontology: a resource for semantics-based description of microarray experiments

    Patricia L. Whetzel;Helen Parkinson;Helen C. Causton;Liju Fan

  • A design framework and exemplar metrics for FAIRness.

    Mark Denis Wilkinson;Susanna-Assunta Sansone;Erik Schultes;Peter Doorn

  • ArrayExpress - a public repository for microarray gene expression data at the EBI

    Unknown

Frequent Co-Authors

Philippe Rocca-Serra
Philippe Rocca-Serra University of Oxford
Dawn Field
Dawn Field University of Oxford
Michel Dumontier
Michel Dumontier Maastricht University
Chris F. Taylor
Chris F. Taylor European Bioinformatics Institute
Carole Goble
Carole Goble University of Manchester
Helen Parkinson
Helen Parkinson European Bioinformatics Institute
Christoph Steinbeck
Christoph Steinbeck Friedrich Schiller University Jena
Jack A. Gilbert
Jack A. Gilbert University of California, San Diego
Reza M. Salek
Reza M. Salek International Agency For Research On Cancer
Steffen Neumann
Steffen Neumann Leibniz Institute of Plant Biochemistry

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