Lyn Bartram

78 papers receiving 2.3k citations

Peers

Lyn Bartram
Comparison fields: 5 of 126
  • Human-Computer Interaction 594
  • Computer Vision and Pattern Recognition 1.1k
  • Computer Graphics and Computer-Aided Design 96
  • Information Systems and Management 156
  • Building and Construction 292
Replace Woontack Woo with:
Woontack Woo South Korea
Allison Woodruff United States
Melanie Tory Canada
Mark Apperley New Zealand
Reinhold Behringer United States
Marco Anisetti Italy
A. J. Bernheim Brush United States
Mark D. Gross United States
Xiaojuan Ma Hong Kong
Alessandro De Gloria Italy
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Citations per year

Countries citing papers authored by Lyn Bartram

Since Specialization
Citations

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

Fields of papers citing papers by Lyn Bartram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015288
2 2013253
3 2018198
4 2014165
5 1996163
6
Proceedings of Graphics Interface 2008
2008134
7 2003103
8 199588
9 201783
10 201179
11 200367
12 201053
13 200251
14 201244
15
Moving Icons, Detection and Distraction
200141
16 199735
17 200234
18 201428
19 201525
20 200824

About Lyn Bartram

Lyn Bartram is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Cognitive Neuroscience, Social Psychology and Control and Systems Engineering, having authored 82 papers that have together received 2.4k indexed citations. Recurring topics across this work include Data Visualization and Analytics (39 papers), Innovative Human-Technology Interaction (16 papers), Color perception and design (12 papers), Aesthetic Perception and Analysis (11 papers), Visual perception and processing mechanisms (9 papers), Human Motion and Animation (8 papers), Smart Cities and Technologies (7 papers) and Human Pose and Action Recognition (6 papers). The work is most often cited by research in Human-Computer Interaction (594 citations), Computer Vision and Pattern Recognition (1.1k citations), Computer Graphics and Computer-Aided Design (96 citations), Information Systems and Management (156 citations) and Building and Construction (292 citations). Lyn Bartram has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Stephen Makonin, Fred Popowich, Bob Gill, Ivan V. Bajić, Colin Ware, Chris Shaw, Melanie Tory, John C. Dill, Maureen Stone and Tom Calvert. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, IEEE Computer Graphics and Applications, Information Visualization, International Journal of Human-Computer Studies and Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale.

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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