C. Gibson

427 citations
32 papers · 328 · h-index 8

Impact in

Papers in

C. Gibson

29 papers receiving 307 citations

Peers

C. Gibson
Comparison fields: 5 of 80
  • Dermatology 152
  • Health, Toxicology and Mutagenesis 114
  • Immunology and Allergy 14
  • Computer Graphics and Computer-Aided Design 9
  • Signal Processing 21
Replace D. D. Duncan with:
D. D. Duncan United States
Massimo Borra Italy
Torben Krarup Denmark
Chengli Que China
Fernando Korn Malerbi Brazil
R. Craig Yoder United States
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Citations per field
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Citations per year

Countries citing papers authored by C. Gibson

Since Specialization
Citations

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

Fields of papers citing papers by C. Gibson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996116
2 199674
3 198023
4 199412
5 198510
6 19888
7
Urinary output and incidence of acute urinary tract infection in patients with indwelling bladder catheters.
19788
8 19878
9 19836
10 20196
11 19856
12 19975
13 19855
14 19854
15 19904
16 19834
17 19864
18 19893
19 20053
20 20133

About C. Gibson

C. Gibson is a scholar working on Computational Mechanics, Radiology, Nuclear Medicine and Imaging, Aerospace Engineering, Computer Vision and Pattern Recognition and Pulmonary and Respiratory Medicine, having authored 32 papers that have together received 328 indexed citations. Recurring topics across this work include Advanced Adaptive Filtering Techniques (5 papers), Medical Imaging Techniques and Applications (5 papers), Radar Systems and Signal Processing (5 papers), Computer Graphics and Visualization Techniques (3 papers), Advanced X-ray and CT Imaging (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Medical Image Segmentation Techniques (2 papers) and Target Tracking and Data Fusion in Sensor Networks (2 papers). The work is most often cited by research in Dermatology (152 citations), Health, Toxicology and Mutagenesis (114 citations), Immunology and Allergy (14 citations), Computer Graphics and Computer-Aided Design (9 citations) and Signal Processing (21 citations). C. Gibson has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Brian Diffey, A.F. McKinlay, Richard Haylock, S. Haykin, James Jago, P.G. NORRIS, Simon Haykin, John P. Gullett, David C. Pigott and J. Ross Macdonald. Their work appears in journals such as Nuclear Medicine Communications, British Journal of Dermatology, Heart, Clinical Radiology and British Journal of Radiology.

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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