Skip to content
JournalsWorldThe Global Research Discovery Platform

Daniel Rueckert

Daniel Rueckert is professor of visual information processing and former head of the Department of Computing at Imperial College London.

Read biography ↓
Publications1,548Total indexed works
Citations98,365Source-reported citations
h-index133Source-reported h-index
i10-index711Source-reported i10-index

Biography, research & contributions

Daniel Rueckert is professor of visual information processing and former head of the Department of Computing at Imperial College London.

Top Publications

  • Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network (2016) - 7,326 citations
  • Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data (2006) - 6,713 citations
  • Nonrigid registration using free-form deformations: application to breast MR images (1999) - 5,341 citations
  • Attention U-Net: Learning Where to Look for the Pancreas (2018) - 4,600 citations
  • Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation (2016) - 3,610 citations

At a glance

Full name
Daniel Rueckert
ORCID
0000-0002-5683-5889
OpenAlex ID
https://openalex.org/A5006461848

Research interests

  • Medical Image Segmentation Techniques, Advanced MRI Techniques and Applications, Cardiac Imaging and Diagnostics, Artificial Intelligence in Healthcare and Education, Functional Brain Connectivity Studies

Research topics

Not yet documented in this profile.

Education

Not yet documented in this profile.

Selected research & further reading

A curated reading list, not a ranking by citation count. References use DOI metadata, matching public scholarly records or authoritative lecture sources.

    See the source-linked reading and original works in the research guide above.

    Citation & publication trends

    Annual counts are not yet available from a verified author record. Explore the research guide above for the work itself; publication and citation totals depend on database coverage.

    Source: OpenAlex · Retrieved 2026-10-07. Metrics are database-specific and are not a scientific ranking.

    Most-cited linked publications

    Publications matched across ORCID and OpenAlex. Citation counts are source-specific.

    1. Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network ↗2016 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
      7,326OpenAlex citations
    2. 6,713OpenAlex citations
    3. 5,341OpenAlex citations
    4. 4,600OpenAlex citations
    5. 3,610OpenAlex citations

    Recent linked publications

    Publications matched across ORCID and OpenAlex. Citation counts are source-specific.

    1. Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network ↗2016 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings

    Journals published in

    No verified record links added yet.

    Related publishers

    No verified record links added yet.

    Institutions

    Current verified institution

    No verified record links added yet.

    Previous institutions

    No verified record links added yet.

    Awards & honors

    Not yet documented in this profile.

    Career timeline

    Not yet documented in this profile.

    Co-authors

    No verified record links added yet.

    Education & career institution links

    No verified record links added yet.

    Claim & manage this profile

    Are you this researcher? Sign in, provide identity evidence, and request administrator approval. Editing becomes available only after approval.

    Sign in to claim this profile

    Sources & data information

    Editorial review: 2026-10-07 · Last data update: 2026-10-07 20:50:17

      Unknown values are left blank. Linked publications may be a subset of total works. Identity verification, data retrieval and profile ownership are separate checks.

      Cite this profile

      Daniel Rueckert. JournalsWorld. Accessed October 8, 2026.

      https://journalsworld.com/researchers/daniel-rueckert/