World's Best Scientists 2026 revealed!
Philippe Rocca-Serra

Philippe Rocca-Serra

D-Index & Metrics

Computer Science

D-Index
58
Citations
36788
World Ranking
3517
National Ranking
213

Overview

Philippe Rocca-Serra is affiliated with the University of Oxford in the United Kingdom. Their research primarily spans the field of Computer Science, with significant focus on Information Systems, Molecular Biology, and Information Systems and Management. Subfields such as Artificial Intelligence and Management Science and Operations Research are also areas of contribution.

The scientist's research covers a variety of topics including Research Data Management Practices, Scientific Computing and Data Management, Biomedical Text Mining and Ontologies, Data Quality and Management, Semantic Web and Ontologies, Cell Image Analysis Techniques, and Metabolomics and Mass Spectrometry Studies.

Frequent co-authors in their work include Susanna-Assunta Sansone, Tony Burdett, Nick Juty, Wei Gu, and Ibrahim Emam.

Philippe Rocca-Serra has published extensively in several venues. The most frequent publication venues include:

  • Zenodo (CERN European Organization for Nuclear Research)
  • Scientific Data
  • GigaScience
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Faculty of 1000 Research Ltd

Notable recent papers authored or co-authored by Philippe Rocca-Serra include:

  • "Enabling reusability of plant phenomic datasets with MIAPPE 1.1" (2020), published in New Phytologist
  • "Metabolomics: The Stethoscope for the Twenty-First Century" (2020), published in Medical Principles and Practice
  • "The FAIR Cookbook - the essential resource for and by FAIR doers" (2023), published in Scientific Data
  • "FAIR in action - a flexible framework to guide FAIRification" (2023), published in Scientific Data
  • "Community standards for open cell migration data" (2020), published in GigaScience

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

  • 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

  • Minimum information about a marker gene sequence (MIMARKS) and minimum information about any (x) sequence (MIxS) specifications.

    Pelin Yilmaz;Pelin Yilmaz;Renzo Kottmann;Dawn Field;Rob Knight;Rob Knight

  • 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

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

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

  • EnsMart: A Generic System for Fast and Flexible Access to Biological Data

    Arek Kasprzyk;Damian Keefe;Damian Smedley;Darin London

  • 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 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

  • 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 simple spreadsheet-based, MIAME-supportive format for microarray data: MAGE-TAB

    Tim F Rayner;Philippe Rocca-Serra;Paul T Spellman;Helen C Causton

  • Omics Data Sharing

    Dawn Field;Susanna-Assunta Sansone;Susanna-Assunta Sansone;Amanda Collis;Tim Booth

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

    Unknown

  • MetaboLights: An Open-Access Database Repository for Metabolomics Data.

    Namrata S. Kale;Kenneth Haug;Pablo Conesa;Kalaivani Jayseelan

Frequent Co-Authors

Susanna-Assunta Sansone
Susanna-Assunta Sansone University of Oxford
Dawn Field
Dawn Field University of Oxford
Chris F. Taylor
Chris F. Taylor European Bioinformatics Institute
Helen Parkinson
Helen Parkinson European Bioinformatics Institute
Reza M. Salek
Reza M. Salek International Agency For Research On Cancer
Christoph Steinbeck
Christoph Steinbeck Friedrich Schiller University Jena
Steffen Neumann
Steffen Neumann Leibniz Institute of Plant Biochemistry
Michel Dumontier
Michel Dumontier Maastricht University
Julian L. Griffin
Julian L. Griffin University of Aberdeen
Christian J. Stoeckert
Christian J. Stoeckert University of Pennsylvania

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

Expanding your options beyond computer science can open new doors in tech-driven industries. Many students look into adjacent fields, and online learning makes this easier than ever. For those interested in the fundamentals of science and technology, a physics degree online can build a strong analytical foundation for careers in research, engineering, or data science.

Data science is another in-demand field. If you're searching for affordable programs that launch rewarding data careers, consider the cheapest data science degree options in the USA. Similarly, students looking for specialized technical roles may want to explore the top online electrical engineering schools, which offer flexible learning for high-paying engineering careers.

Not everyone needs a full degree to improve their prospects. In tech, short-term certifications can also provide excellent returns. Learn about certifications that pay well to quickly boost your resume and earnings, whether you’re just starting or looking to advance your tech career.

Best Scientists Citing Philippe Rocca-Serra

Trending Scientists