Research Database, The University of East Anglia

A research-intensive institution, UEA is ranked in the world’s top 100 for research citations in the Times Higher Education World University Rankings 2019. We are 10th in the UK for quality of research outputs (Times Higher REF 2014 analysis) and UK Top 25 for research quality (Times Higher REF 2014 analysis). UEA research is embedded in our outstanding teaching and connects our world-leading academics with society, government and industry. We have strong collaborative research links across the Norwich Research Park and in terms of number of most highly cited scientists, Norwich is ranked fourth in the UK.

Focused around six themes, our research spans the global challenges: from meeting the needs of an ageing population, to understanding the unique and fragile environments we live in, to tackling energy, food and water security so we can make the best use of our planet’s resources. Our interdisciplinary approach, and the international reach of our research, ensures UEA is well placed to continue to address significant research questions and make real impact on the world.

Latest Research Outputs
  1. Introduction to Japan: Seeding and cultivating an interest in Japan for first-year UEA students

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

  2. On Essays: Montaigne to the Present

    Research output: Book/ReportBook

  3. On the Difficulty of Introducing a Work of this Kind

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

  4. What is an Essay? Thirteen Answers from Virginia Woolf

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

  5. Wholesome rough stuff’: Hammer Films and the ‘A’ and ‘U’ Certificate, 1959-65

    Research output: Chapter in Book/Report/Conference proceedingChapter

This week's popular downloads
  1. 37 downloads

    Climate and colonialism

    Research output: Contribution to journalArticle

  2. 18 downloads

    An efficient deep learning model for intrusion classification and prediction in 5G and IoT networks

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  3. 17 downloads

    Introducing Studio Ghibli

    Research output: Contribution to journalArticle

  4. 13 downloads
  5. 12 downloads
Publications
Organisational units