Jun Okamoto

1.3k citations
101 papers · 865 · h-index 15

Impact in

Papers in

Jun Okamoto

89 papers receiving 808 citations

Peers

Jun Okamoto
Comparison fields: 5 of 119
  • Computer Vision and Pattern Recognition 368
  • Human-Computer Interaction 84
  • Signal Processing 94
  • Media Technology 53
  • Biomedical Engineering 194
Replace Dimitrios Kosmopoulos with:
Dimitrios Kosmopoulos Greece
Cataldo Guaragnella Italy
Masaki Onishi Japan
Kévin Bouchard Canada
Lei Han China
Edmond Q. Wu China
Igi Ardiyanto Indonesia
Omprakash Gnawali United States
Pier Luigi Mazzeo Italy
Xiang Yu China
Jun Okamoto relative to Dimitrios Kosmopoulos Greece Dimitrios Kosmopoulos's profile →
Citations per field
00.5×1.5×
Dimitrios Kosmopoulos · 1×
Citations per year

Countries citing papers authored by Jun Okamoto

Since Specialization
Citations

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

Fields of papers citing papers by Jun Okamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999103
2 200780
3 201067
4 201240
5 200336
6 201832
7 198132
8 201819
9 200718
10 200917
11 201017
12 200816
13 201516
14 201516
15 201814
16 200314
17 201112
18 200612
19 201712
20 201812

About Jun Okamoto

Jun Okamoto is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Artificial Intelligence, Media Technology and Mechanical Engineering, having authored 101 papers that have together received 865 indexed citations. Recurring topics across this work include Image and Video Quality Assessment (27 papers), Soft Robotics and Applications (19 papers), Augmented Reality Applications (9 papers), Natural Language Processing Techniques (8 papers), Advanced Vision and Imaging (7 papers), Video Coding and Compression Technologies (6 papers), Surgical Simulation and Training (6 papers) and Robotics and Sensor-Based Localization (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (368 citations), Human-Computer Interaction (84 citations), Signal Processing (94 citations), Media Technology (53 citations) and Biomedical Engineering (194 citations). Jun Okamoto has collaborated with scholars based in Japan, Brazil and United States. Frequent co-authors include Valdir Grassi, Masakatsu G. Fujie, Takanori Hayashi, Akira Takahashi, Marcos de Sales Guerra Tsuzuki, Claudio Camerini, Júlio C. Adamowski, Flávio Buiochi, Vijay Kumar and Kazuhisa Yamagishi. Their work appears in journals such as Language Resources and Evaluation, International Journal of Computer Integrated Manufacturing, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Neurosurgery and Engineering Geology.

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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