Lyn Bartram

3.8k citations
90 papers · 2.8k · h-index 26

Impact in

Papers in

Lyn Bartram

85 papers receiving 2.7k citations

Peers

Lyn Bartram
Comparison fields: 5 of 123
  • Human-Computer Interaction 697
  • Computer Vision and Pattern Recognition 1.2k
  • Computer Graphics and Computer-Aided Design 103
  • Information Systems and Management 188
  • Building and Construction 306
Replace Woontack Woo with:
Woontack Woo South Korea
Melanie Tory Canada
Allison Woodruff United States
Aaron Quigley United Kingdom
Xiaojuan Ma Hong Kong
Reinhold Behringer United States
Mark Apperley New Zealand
Alessandro De Gloria Italy
A. J. Bernheim Brush United States
Mark D. Gross United States
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Citations per field
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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 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015297
2 2013276
3 2018238
4 2014184
5 1996180
6
Proceedings of Graphics Interface 2008
2008142
7 2003122
8 201799
9 199596
10 201184
11 200381
12 201058
13 200258
14 201254
15 201848
16
Moving Icons, Detection and Distraction
200148
17 200241
18 199740
19 201433
20
Visualizing Causal Relations
199931

About Lyn Bartram

Lyn Bartram is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Cognitive Neuroscience, Social Psychology and Sociology and Political Science, having authored 90 papers that have together received 2.8k indexed citations. Recurring topics across this work include Data Visualization and Analytics (40 papers), Innovative Human-Technology Interaction (18 papers), Color perception and design (13 papers), Aesthetic Perception and Analysis (11 papers), Visual perception and processing mechanisms (10 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 (697 citations), Computer Vision and Pattern Recognition (1.2k citations), Computer Graphics and Computer-Aided Design (103 citations), Information Systems and Management (188 citations) and Building and Construction (306 citations). Lyn Bartram has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Stephen Makonin, Fred Popowich, Colin Ware, Bob Gill, Ivan V. Bajić, Melanie Tory, Chris Shaw, 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, International Journal of Human-Computer Studies, Information Visualization and IEEE Pervasive Computing.

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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