John Barnwell

1.4k citations
13 papers · 1.1k · h-index 11

Impact in

Papers in

John Barnwell

13 papers receiving 1.0k citations

Peers

John Barnwell
Comparison fields: 5 of 84
  • Human-Computer Interaction 384
  • Computer Vision and Pattern Recognition 352
  • Aerospace Engineering 320
  • Cognitive Neuroscience 249
  • Control and Systems Engineering 147
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Chi Xu China
Nicholas Gillian United States
Carsten Schwesig Japan
Dijun Liu China
Ye Wang United States
Jeremy Gummeson United States
Seongjoo Lee South Korea
Shuyan Hu China
Zongwu Xie China
Minoru Fukumi Japan
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Citations per field
00.5×11.3×
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Citations per year

Countries citing papers authored by John Barnwell

Since Specialization
Citations

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

Fields of papers citing papers by John Barnwell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2011264
2 2007199
3 2007195
4 2007162
5 200656
6 200750
7 200941
8 200736
9
Wireless power transfer with metamaterials
201122
10 200613
11 201212
12 20076
13 20062

About John Barnwell

John Barnwell is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Aerospace Engineering, Human-Computer Interaction and Electrical and Electronic Engineering, having authored 13 papers that have together received 1.1k indexed citations. Recurring topics across this work include Interactive and Immersive Displays (5 papers), Tactile and Sensory Interactions (5 papers), Robotics and Sensor-Based Localization (3 papers), Video Analysis and Summarization (3 papers), Advanced Vision and Imaging (3 papers), Indoor and Outdoor Localization Technologies (2 papers), Augmented Reality Applications (2 papers) and Usability and User Interface Design (2 papers). The work is most often cited by research in Human-Computer Interaction (384 citations), Computer Vision and Pattern Recognition (352 citations), Aerospace Engineering (320 citations), Cognitive Neuroscience (249 citations) and Control and Systems Engineering (147 citations). John Barnwell has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Rolf Adelsberger, Wojciech Matusik, Jovan Popović, Giovanni Vannucci, Markus Groß, Daniel Vlasic, William Yerazunis, Chia Shen, Bingnan Wang and Clifton Forlines. Their work appears in journals such as ACM Transactions on Graphics, The International Journal of Robotics Research, Applied Physics Letters and University of Canterbury Research Repository (University of Canterbury).

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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