Evan Barba

1.1k citations
21 papers · 277 · h-index 10

Impact in

Papers in

Evan Barba

21 papers receiving 259 citations

Peers

Evan Barba
Comparison fields: 5 of 70
  • Human-Computer Interaction 135
  • Computer Vision and Pattern Recognition 122
  • Developmental and Educational Psychology 40
  • Computer Science Applications 17
  • Museology 10
Replace Stephen Boyd Davis with:
Stephen Boyd Davis United Kingdom
Claudio Aguayo New Zealand
Lindsay MacDonald United Kingdom
Theodor Wyeld Australia
Anthony Scavarelli Canada
Vassiliki Bouki United Kingdom
Leena Arhippainen Finland
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Citations per field
00.5×2.6×
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Citations per year

Countries citing papers authored by Evan Barba

Since Specialization
Citations

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

Fields of papers citing papers by Evan Barba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Evan Barba, 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 Evan Barba Line = papers co-authored together Evan Barba links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201143
2 200834
3 201932
4 201131
5 201229
6 202025
7 201114
8 201011
9 201710
10 201510
11 20098
12 20156
13 20146
14 20195
15 20113
16 20153
17 20132
18 20092
19 20171
20 20171

About Evan Barba

Evan Barba is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Sociology and Political Science, Mechanical Engineering and Automotive Engineering, having authored 21 papers that have together received 277 indexed citations. Recurring topics across this work include Augmented Reality Applications (11 papers), Virtual Reality Applications and Impacts (7 papers), Interactive and Immersive Displays (6 papers), Innovative Human-Technology Interaction (3 papers), Spatial Cognition and Navigation (2 papers), Design Education and Practice (2 papers), Information Systems Theories and Implementation (2 papers) and Complex Systems and Decision Making (2 papers). The work is most often cited by research in Human-Computer Interaction (135 citations), Computer Vision and Pattern Recognition (122 citations), Developmental and Educational Psychology (40 citations), Computer Science Applications (17 citations) and Museology (10 citations). Evan Barba has collaborated with scholars based in United States. Frequent co-authors include Blair MacIntyre, Yan Xu, Iulian Radu, Maribeth Gandy, Elizabeth D. Mynatt, Jay David Bolter, Rebecca M. Ryan, Stevie Chancellor, Sandra L. Calvert and Melanie Hutchinson. Their work appears in journals such as Convergence The International Journal of Research into New Media Technologies, PeerJ, Science Technology & Human Values, Proceedings of the IEEE and FormAkademisk - forskningstidsskrift for design og designdidaktikk.

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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