Stuart Gibson

41 papers receiving 927 citations

Hit Papers

Deep convolutional neural networks for Raman spectrum rec...20172026202020232017100200300

Peers

Stuart Gibson
Comparison fields: 5 of 125
  • Computer Vision and Pattern Recognition 268
  • Biophysics 255
  • Analytical Chemistry 247
  • Biomedical Engineering 166
  • Cognitive Neuroscience 164
Replace Christopher J. Solomon with:
Christopher J. Solomon United Kingdom
Abhilash K. Pandya United States
Lirong Qiu China
Shoji Tominaga Japan
Taihao Li China
Marcelo Trivi Argentina
Juan Meng China
Perry Xiao United Kingdom
Francisco H. Imai United States
Changjun Li China
Stuart Gibson relative to Christopher J. Solomon United Kingdom Christopher J. Solomon's profile →
Citations per field
00.5×5.0×
Christopher J. Solomon · 1×
Citations per year

Countries citing papers authored by Stuart Gibson

Since Specialization
Citations

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

Fields of papers citing papers by Stuart Gibson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stuart Gibson

This figure shows the co-authorship network connecting the top 25 collaborators of Stuart Gibson. A scholar is included among the top collaborators of Stuart Gibson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Stuart Gibson. Stuart Gibson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 3
3 17
4 1
5
A machine-learning approach to magnetic neutron scattering
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6 36
7 2
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Deep convolutional neural networks for Raman spectrum recognition: a unified solutionbreakdown →
373
9 9
10 2
11
Comparing Evolutionary Operators, Search Spaces, and Evolutionary Algorithms in the Construction of Facial Composites
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12 7
13 45
14 28
15 10
16
The Generation of Facial Composites using an Evolutionary Algorithm
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17 3
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Plausible aging of the human face using a statistical model
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19 24
20 18

About Stuart Gibson

Stuart Gibson is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Biophysics, having authored 44 papers that have together received 957 indexed citations. Recurring topics across this work include Face recognition and analysis (16 papers), Face Recognition and Perception (14 papers) and Evolutionary Psychology and Human Behavior (6 papers). The work is most often cited by research in Biophysics (255 citations), Analytical Chemistry (247 citations) and Computer Vision and Pattern Recognition (268 citations). Stuart Gibson has collaborated with scholars based in United Kingdom, Israel and Spain. Frequent co-authors include Christopher J. Solomon, Margarita Osadchy, Jinchao Liu, Michael J. Foster, Lorna Ashton, Chris Solomon, Julio Hernández-Castro, Orr Dunkelman, Josh P. Davis and Michael J. Went. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, The Journal of Physical Chemistry Letters and Psychophysiology.

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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