Jun Miyazaki

1.4k citations
78 papers · 862 · 1 hit paper · h-index 14

Impact in

Papers in

Jun Miyazaki

63 papers receiving 809 citations

Jun Miyazaki's Hit Papers

Augmented Reality Learning Experiences: Survey of Prototype Design and Evaluation 2014 · 336 citations
3360+4+8Years since publication100200300

Peers

Jun Miyazaki
Comparison fields: 5 of 104
  • Human-Computer Interaction 221
  • Computer Vision and Pattern Recognition 469
  • Computational Mathematics 10
  • Information Systems 332
  • Computer Networks and Communications 203
Replace T. J. Jankun-Kelly with:
T. J. Jankun-Kelly United States
Benjamin Lee United States
Chris Brown United States
Wernhuar Tarng Taiwan
Rich Gossweiler United States
Aimilia Tzanavari Cyprus
Virginio Cantoni Italy
Sandeep K. Singhal United States
Katashi Nagao Japan
Mirko Sužnjević Croatia
Jun Miyazaki relative to T. J. Jankun-Kelly United States T. J. Jankun-Kelly's profile →
Citations per field
00.5×3.8×
T. J. Jankun-Kelly · 1×
Citations per year

Countries citing papers authored by Jun Miyazaki

Since Specialization
Citations

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

Fields of papers citing papers by Jun Miyazaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Augmented Reality Learning Experiences: Survey of Prototype Design and Evaluation
Hit paper breakdown →
2014336
2 200672
3 200657
4 199932
5
Tag-Based Contextual Collaborative Filtering
200728
6 201425
7 200825
8 201421
9 201220
10 200718
11 202218
12 202317
13 200614
14 201214
15 201310
16 200910
17 20079
18 20059
19 20139
20 20109

About Jun Miyazaki

Jun Miyazaki is a scholar working on Computer Vision and Pattern Recognition, Information Systems, Computer Networks and Communications, Artificial Intelligence and Signal Processing, having authored 78 papers that have together received 862 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (14 papers), Advanced Vision and Imaging (10 papers), Advanced Database Systems and Queries (9 papers), Video Analysis and Summarization (8 papers), Advanced Data Storage Technologies (8 papers), Augmented Reality Applications (8 papers), Data Management and Algorithms (7 papers) and Robotics and Sensor-Based Localization (7 papers). The work is most often cited by research in Human-Computer Interaction (221 citations), Computer Vision and Pattern Recognition (469 citations), Computational Mathematics (10 citations), Information Systems (332 citations) and Computer Networks and Communications (203 citations). Jun Miyazaki has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Hirokazu Kato, Goshiro Yamamoto, Takafumi Taketomi, Marc Ericson C. Santos, Angie Chen, Shinsuke Nakajima, Shuichi Kinoshita, Shunsuke Uemura, Kenji Oku and Sotaro Uemura. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Knowledge-Based Systems, Natural Computing, Journal of Parallel and Distributed Computing and IEEE Access.

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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