Goshiro Yamamoto

2.0k citations
111 papers · 1.3k indexed · 1 hit paper · h-index 16
Topics
Augmented Reality Applications (32 papers)Interactive and Immersive Displays (16 papers)Virtual Reality Applications and Impacts (13 papers)

In The Last Decade

Goshiro Yamamoto

91 papers receiving 1.2k citations

Hit Papers

Augmented Reality Learning Experiences: Survey of Prototy...20142026201820222014100200300

Peers

Goshiro Yamamoto
Comparison fields: 5 of 126
  • Computer Vision and Pattern Recognition 836
  • Human-Computer Interaction 553
  • Information Systems 265
  • Developmental and Educational Psychology 130
  • Cognitive Neuroscience 95
Replace Alberto Raposo with:
Alberto Raposo Brazil
Alan B. Craig United States
Adrian Clark New Zealand
Christian Sandor Japan
Mohd Shahrizal Sunar Malaysia
Jennifer Fromm Germany
Shamus P. Smith Australia
Jorge Bacca Colombia
Thies Pfeiffer Germany
R. Wojciechowski Poland
Goshiro Yamamoto relative to Alberto Raposo Brazil Alberto Raposo's profile →
Citations per field
00.5×2.5×
Alberto Raposo · 1×
Citations per year

Countries citing papers authored by Goshiro Yamamoto

Since Specialization
Citations

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

Fields of papers citing papers by Goshiro Yamamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Goshiro Yamamoto

This figure shows the co-authorship network connecting the top 25 collaborators of Goshiro Yamamoto. A scholar is included among the top collaborators of Goshiro Yamamoto based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Goshiro Yamamoto. Goshiro Yamamoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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Robust model-based tracking considering changes in the measurable DoF of the target object
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XML Element Retrieval@1CLICK-2
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About Goshiro Yamamoto

Goshiro Yamamoto is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Health Information Management, having authored 111 papers that have together received 1.3k indexed citations. Recurring topics across this work include Augmented Reality Applications (32 papers), Interactive and Immersive Displays (16 papers) and Virtual Reality Applications and Impacts (13 papers). The work is most often cited by research in Human-Computer Interaction (553 citations), Computer Vision and Pattern Recognition (836 citations) and Information Systems (265 citations). Goshiro Yamamoto has collaborated with scholars based in Japan, Finland and United States. Frequent co-authors include Hirokazu Kato, Takafumi Taketomi, Marc Ericson C. Santos, Christian Sandor, Jun Miyazaki, Angie Chen, Ma. Mercedes T. Rodrigo, Petri Pulli, Tomohiro Kuroda and Yuichiro Fujimoto. Their work appears in journals such as PLoS ONE, Scientific Reports and IEEE Transactions on Biomedical Engineering.

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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