L. Pickup

27 papers receiving 780 citations

Peers

L. Pickup
Comparison fields: 5 of 76
  • Health Informatics 29
  • Media Technology 132
  • Radiology, Nuclear Medicine and Imaging 287
  • Computer Vision and Pattern Recognition 235
  • Pulmonary and Respiratory Medicine 291
Replace Ning Guo with:
Ning Guo United States
Senthil Periaswamy United States
Shekoofeh Azizi United States
Kanwal K. Bhatia United Kingdom
Yaniv Bar Israel
Roger Trullo United States
Onat Dalmaz Türkiye
Bibo Shi United States
Fernando Pérez‐García United Kingdom
Xinyuan Zhang China
L. Pickup relative to Ning Guo United States Ning Guo's profile →
Citations per field
00.5×4.0×
Ning Guo · 1×
Citations per year

Countries citing papers authored by L. Pickup

Since Specialization
Citations

This map shows the geographic impact of L. Pickup'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 L. Pickup with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L. Pickup more than expected).

Fields of papers citing papers by L. Pickup

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L. Pickup. 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 L. Pickup. The network helps show where L. Pickup may publish in the future.

Co-authors

The 25 scholars most cited alongside L. Pickup, 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 L. Pickup Line = papers co-authored together L. Pickup links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021138
2 2020133
3 2020120
4 200775
5
A Sampled Texture Prior for Image Super-Resolution
200364
6 200755
7 202248
8 200328
9 200728
10 200619
11 201716
12 201613
13 201812
14 201310
15 20189
16 20217
17 20176
18 20096
19 20144
20 20114

About L. Pickup

L. Pickup is a scholar working on Pulmonary and Respiratory Medicine, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Media Technology and Cognitive Neuroscience, having authored 30 papers that have together received 806 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (13 papers), Advanced Image Processing Techniques (7 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Advanced Vision and Imaging (7 papers), Image Processing Techniques and Applications (5 papers), Image and Signal Denoising Methods (2 papers), Advanced Radiotherapy Techniques (1 paper) and Advanced X-ray and CT Imaging (1 paper). The work is most often cited by research in Health Informatics (29 citations), Media Technology (132 citations), Radiology, Nuclear Medicine and Imaging (287 citations), Computer Vision and Pattern Recognition (235 citations) and Pulmonary and Respiratory Medicine (291 citations). L. Pickup has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Andrew Zisserman, Stephen Roberts, David Capel, Fergus Gleeson, Timor Kadir, Jérôme Declerck, Carlos Arteta, Petr Novotný, Heiko Peschl and Sarim Ather. Their work appears in journals such as American Journal of Respiratory and Critical Care Medicine, Journal of Thoracic Oncology, Lung Cancer, European Journal of Radiology and Journal of Vision.

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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