J Blackall

1.1k citations
17 papers · 692 indexed · h-index 9

Impact in

  • Radiation top 5%
    • Advanced Radiotherapy Techniques
    • Medical Imaging Techniques and Applications
    • Advanced MRI Techniques and Applications
    • Cardiac Imaging and Diagnostics
    • Radiomics and Machine Learning in Medical Imaging

Papers in

J Blackall

16 papers receiving 667 citations

Peers

J Blackall
Comparison fields: 5 of 52
  • Radiation 204
  • Radiology, Nuclear Medicine and Imaging 481
  • Computer Vision and Pattern Recognition 251
  • Biomedical Engineering 194
  • Pulmonary and Respiratory Medicine 98
Replace M. Graß with:
M. Graß Germany
Max Schöbinger Germany
Ralf Tetzlaff Germany
Paul Segars United States
John A. Onofrey United States
Greg Glosser United States
Mark Hastenteufel Germany
Cesare Romagnoli Canada
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J Blackall relative to M. Graß Germany M. Graß's profile →
Citations per field
00.5×1.5×
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Citations per year

Countries citing papers authored by J Blackall

Since Specialization
Citations

This map shows the geographic impact of J Blackall's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by J Blackall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J Blackall more than expected).

Fields of papers citing papers by J Blackall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J Blackall. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by J Blackall. The network helps show where J Blackall may publish in the future.

Co-authors

The 25 scholars most cited alongside J Blackall, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with J Blackall Line = papers co-authored together J Blackall links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 20127
2 200814
3 20083
4 20071
5 20074
6
2007 4TH IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING : MACRO TO NANO, VOLS 1-3
20074
7 200615
8 2006105
9 200578
10 20056
11 200511
12 20051
13 20051
14 200462
15 2003166
16 2002196
17 200218

About J Blackall

J Blackall is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Biomedical Engineering and Pulmonary and Respiratory Medicine, having authored 17 papers that have together received 692 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (8 papers), Medical Imaging Techniques and Applications (7 papers), Medical Image Segmentation Techniques (6 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Lung Cancer Diagnosis and Treatment (3 papers), Advanced MRI Techniques and Applications (3 papers), Anatomy and Medical Technology (2 papers) and Soft Robotics and Applications (2 papers). The work is most often cited by research in Radiation (204 citations), Radiology, Nuclear Medicine and Imaging (481 citations), Computer Vision and Pattern Recognition (251 citations), Biomedical Engineering (194 citations) and Pulmonary and Respiratory Medicine (98 citations). J Blackall has collaborated with scholars based in United Kingdom, Chile and France. Frequent co-authors include Graeme Penney, David J. Hawkes, David Hill, Kate McLeish, David Atkinson, Reza Razavi, Jamie R. McClelland, Andreas Adam, Mohamad Hamady and D.J. Hawkes. Their work appears in journals such as IEEE Transactions on Medical Imaging, Radiotherapy and Oncology, Medical Physics, Medical Image Analysis and Physics in Medicine and Biology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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