Shaun Bangay

109 total papers · 669 total citations
70 papers, 459 citations indexed

About

Shaun Bangay is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Artificial Intelligence. According to data from OpenAlex, Shaun Bangay has authored 70 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 17 papers in Computer Graphics and Computer-Aided Design and 15 papers in Artificial Intelligence. Recurrent topics in Shaun Bangay's work include Computer Graphics and Visualization Techniques (17 papers), Artificial Intelligence in Games (8 papers) and Advanced Vision and Imaging (8 papers). Shaun Bangay is often cited by papers focused on Computer Graphics and Visualization Techniques (17 papers), Artificial Intelligence in Games (8 papers) and Advanced Vision and Imaging (8 papers). Shaun Bangay collaborates with scholars based in South Africa, Australia and Belgium. Shaun Bangay's co-authors include Sophie McKenzie, Jo Salmon, Bénédicte Deforche, Jenny Veitch, Anna Timperio, Ariane Ghekiere, Jelle Van Cauwenberg, Nicola D. Ridgers, Lisa M. Barnett and Kate Parker and has published in prestigious journals such as British Journal of Cancer, Landscape and Urban Planning and International Journal of Behavioral Nutrition and Physical Activity.

In The Last Decade

Shaun Bangay

59 papers receiving 427 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Shaun Bangay	103	86	56	56	54	70	459
Michael Jones	68 0.7×	12 0.1×	40 0.7×	28 0.5×	33 0.6×	65	547
Simone Mora	57 0.6×	81 0.9×	19 0.3×	28 0.5×	38 0.7×	33	421
Damian Schofield	93 0.9×	6 0.1×	34 0.6×	31 0.6×	81 1.5×	57	545
Sylvain Fleury	62 0.6×	10 0.1×	43 0.8×	41 0.7×	29 0.5×	35	405
Susanne Bleisch	128 1.2×	8 0.1×	43 0.8×	7 0.1×	43 0.8×	37	419
Mingmin Zhang	211 2.0×	25 0.3×	26 0.5×	12 0.2×	14 0.3×	70	508
Asya Natapov	97 0.9×	110 1.3×	3 0.1×	18 0.3×	31 0.6×	20	493
Vanja Garaj	129 1.3×	11 0.1×	53 0.9×	13 0.2×	31 0.6×	36	445
Monica Billger	49 0.5×	79 0.9×	4 0.1×	46 0.8×	12 0.2×	42	510
Rabee M. Reffat	42 0.4×	22 0.3×	40 0.7×	30 0.5×	22 0.4×	44	480

Countries citing papers authored by Shaun Bangay

Since Specialization

Citations

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

Fields of papers citing papers by Shaun Bangay

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaun Bangay

This figure shows the co-authorship network connecting the top 25 collaborators of Shaun Bangay. A scholar is included among the top collaborators of Shaun Bangay 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 Shaun Bangay. Shaun Bangay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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