Roxana Bujack

746 citations
46 papers · 430 · h-index 12

Impact in

Papers in

Roxana Bujack

42 papers receiving 418 citations

Peers

Roxana Bujack
Comparison fields: 5 of 78
  • Computer Graphics and Computer-Aided Design 106
  • Computer Vision and Pattern Recognition 231
  • Social Psychology 82
  • Computational Mechanics 60
  • Applied Mathematics 29
Replace Jinggang Huang with:
Jinggang Huang United States
David Hasler Germany
Lu Rong China
Philip K. Robertson Australia
Jaume Rigau Spain
Steven J. Harrington United States
André Gagalowicz France
Yasuhiro Takeshima Japan
Edoardo Provenzi France
Jinhui Chao Japan
Roxana Bujack relative to Jinggang Huang United States Jinggang Huang's profile →
Citations per field
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Jinggang Huang · 1×
Citations per year

Countries citing papers authored by Roxana Bujack

Since Specialization
Citations

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

Fields of papers citing papers by Roxana Bujack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201773
2 201835
3 202023
4 201422
5 201321
6 201621
7 201721
8 202220
9 202019
10 201918
11 201716
12 201713
13 201511
14 202010
15 20149
16 20158
17 20216
18
3 A General Geometric Fourier Transform Convolution Theorem
20166
19 20166
20 20146

About Roxana Bujack

Roxana Bujack is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Social Psychology, Atomic and Molecular Physics, and Optics and Computational Mechanics, having authored 46 papers that have together received 430 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (15 papers), Image Retrieval and Classification Techniques (11 papers), Data Visualization and Analytics (10 papers), Color Science and Applications (8 papers), Color perception and design (8 papers), Advanced Vision and Imaging (8 papers), Visual perception and processing mechanisms (5 papers) and Algebraic and Geometric Analysis (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (106 citations), Computer Vision and Pattern Recognition (231 citations), Social Psychology (82 citations), Computational Mechanics (60 citations) and Applied Mathematics (29 citations). Roxana Bujack has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Terece L. Turton, Francesca Samsel, David Rogers, Gerik Scheuermann, Colin Ware, Kenneth I. Joy, Ingrid Hotz, James Ahrens, Eckhard Hitzer and Christoph Garth. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum, Environmental Earth Sciences, Pattern Recognition and Mathematical Methods in the Applied Sciences.

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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