J Blackall

1.1k citations
17 papers · 693 · 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
    • Ultrasound Imaging and Elastography

Papers in

J Blackall

16 papers receiving 668 citations

Peers

J Blackall
Comparison fields: 5 of 49
  • Radiation 182
  • Radiology, Nuclear Medicine and Imaging 375
  • Computer Vision and Pattern Recognition 217
  • Biomedical Engineering 155
  • Pulmonary and Respiratory Medicine 71
Replace M. Graß with:
M. Graß Germany
Ameet Jain United States
Greg Glosser United States
Ralf Tetzlaff Germany
Thierry Cresson Canada
Urs Gamper Switzerland
Outi Sipilä Finland
Sven Kabus Germany
Cesare Romagnoli Canada
Mark Hastenteufel Germany
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 2002197
2 2003166
3 2006105
4 200578
5 200462
6 200218
7 200615
8 200814
9 200511
10 20127
11 20056
12 20074
13
2007 4TH IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING : MACRO TO NANO, VOLS 1-3
20074
14 20083
15 20071
16 20051
17 20051

About J Blackall

J Blackall is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Radiation, Computer Vision and Pattern Recognition and Pulmonary and Respiratory Medicine, having authored 17 papers that have together received 693 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (7 papers), Medical Image Segmentation Techniques (6 papers), Medical Imaging Techniques and Applications (6 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Advanced MRI Techniques and Applications (3 papers), Lung Cancer Diagnosis and Treatment (3 papers), Ultrasound Imaging and Elastography (2 papers) and Soft Robotics and Applications (2 papers). The work is most often cited by research in Radiation (182 citations), Radiology, Nuclear Medicine and Imaging (375 citations), Computer Vision and Pattern Recognition (217 citations), Biomedical Engineering (155 citations) and Pulmonary and Respiratory Medicine (71 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, Reza Razavi, David Atkinson, Jamie R. McClelland, Andreas Adam, D.J. Hawkes and Mohamad Hamady. Their work appears in journals such as Medical Physics, IEEE Transactions on Medical Imaging, Medical Image Analysis, Physics in Medicine and Biology and Radiotherapy and Oncology.

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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