Toby P. Breckon

7.5k citations
156 papers · 4.4k · 2 hit papers · h-index 32

Impact in

Papers in

Toby P. Breckon

153 papers receiving 4.2k citations

Toby P. Breckon's Hit Papers

2019 · 293 citations
2930+5+10Years since publication100200300

Peers

Toby P. Breckon
Comparison fields: 5 of 166
  • Computer Vision and Pattern Recognition 2.7k
  • Media Technology 481
  • Artificial Intelligence 1.1k
  • Radiology, Nuclear Medicine and Imaging 714
  • Safety, Risk, Reliability and Quality 210
Replace Jianbing Shen with:
Jianbing Shen China
Georgia Gkioxari United States
Chao-Yuan Wu United States
Xiatian Zhu United Kingdom
David Vázquez Spain
Zhuang Liu China
Zhaoxiang Zhang China
Jun Fu China
Tete Xiao United States
Lingxi Xie China
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Citations per field
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Citations per year

Countries citing papers authored by Toby P. Breckon

Since Specialization
Citations

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

Fields of papers citing papers by Toby P. Breckon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Toby P. Breckon. 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 Toby P. Breckon. The network helps show where Toby P. Breckon may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 156 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Fundamentals of Digital Image Processing: A Practical Approach with Examples in Matlab
Hit paper breakdown →
2011359
2
Hit paper breakdown →
2019293
3 2018237
4 2010233
5 2016196
6 2018173
7 2020167
8 2011147
9 201398
10 201094
11 201888
12 201381
13 201979
14 202077
15 202273
16 201672
17 201067
18 201766
19 201064
20 201360

About Toby P. Breckon

Toby P. Breckon is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Aerospace Engineering, having authored 156 papers that have together received 4.4k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (34 papers), Advanced X-ray and CT Imaging (31 papers), Advanced Neural Network Applications (30 papers), Video Surveillance and Tracking Methods (26 papers), Medical Imaging Techniques and Applications (21 papers), Advanced Image and Video Retrieval Techniques (19 papers), Domain Adaptation and Few-Shot Learning (14 papers) and Image Enhancement Techniques (13 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.7k citations), Media Technology (481 citations), Artificial Intelligence (1.1k citations), Radiology, Nuclear Medicine and Imaging (714 citations) and Safety, Risk, Reliability and Quality (210 citations). Toby P. Breckon has collaborated with scholars based in United Kingdom, China and Japan. Frequent co-authors include Chris Solomon, Samet Akçay, Amir Atapour–Abarghouei, Qian Wang, André Mouton, Mikolaj Kundegorski, Najla Megherbi, Chris G. Willcocks, Jiwan Han and Neelanjan Bhowmik. Their work appears in journals such as Pattern Recognition, Journal of X-Ray Science and Technology, IEEE Transactions on Intelligent Transportation Systems, Machine Vision and Applications and Neural Networks.

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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