Jay Busch

2.0k citations
34 papers · 1.1k · h-index 18

Impact in

Papers in

Jay Busch

34 papers receiving 1.1k citations

Peers

Jay Busch
Comparison fields: 5 of 59
  • Computer Graphics and Computer-Aided Design 469
  • Computer Vision and Pattern Recognition 938
  • Human-Computer Interaction 181
  • Media Technology 187
  • Computational Mechanics 245
Replace Graham Fyffe with:
Graham Fyffe United States
Xueming Yu United States
Stephen Lombardi United States
Christian Richardt United Kingdom
Irene Viola Netherlands
Remo Ziegler Switzerland
Stephan Würmlin Switzerland
Marco Salvi United Kingdom
Kenny Mitchell United States
Philip Davidson United States
Jay Busch relative to Graham Fyffe United States Graham Fyffe's profile →
Citations per field
00.5×1.5×
Graham Fyffe · 1×
Citations per year

Countries citing papers authored by Jay Busch

Since Specialization
Citations

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

Fields of papers citing papers by Jay Busch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020178
2 2019145
3 2011141
4 2009123
5 201381
6 201952
7 201150
8 201040
9 201332
10 201331
11 201429
12 201927
13 200927
14 201726
15 201222
16 201522
17 201321
18 201617
19 20209
20 20197

About Jay Busch

Jay Busch is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Computational Mechanics, Human-Computer Interaction and Media Technology, having authored 34 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (21 papers), Computer Graphics and Visualization Techniques (14 papers), Face recognition and analysis (12 papers), 3D Shape Modeling and Analysis (11 papers), Advanced Optical Imaging Technologies (6 papers), Interactive and Immersive Displays (6 papers), Image Enhancement Techniques (5 papers) and Optical measurement and interference techniques (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (469 citations), Computer Vision and Pattern Recognition (938 citations), Human-Computer Interaction (181 citations), Media Technology (187 citations) and Computational Mechanics (245 citations). Jay Busch has collaborated with scholars based in United States, Sweden and United Kingdom. Frequent co-authors include Paul Debevec, Graham Fyffe, Xueming Yu, Abhijeet Ghosh, Borom Tunwattanapong, Andrew Jones, Mark Bolas, John P. Flynn, Daniel Erickson and Matt Whalen. Their work appears in journals such as ACM Transactions on Graphics, Computer Graphics Forum and Journal of Electronic Imaging.

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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