Rikio Onai
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Statistical and Nonlinear Physics top 10%
- Transportation top 10%
- Information Systems top 10%
- Co-authors
- Makoto OkabeYoshinori DobashiKen AnjyoKunio MurakamiAmin ShoukryKanae MasudaTakahiro HayashiAkira Matsumoto
- Topics
- Video Analysis and Summarization (8 papers)Image Retrieval and Classification Techniques (7 papers)Sentiment Analysis and Opinion Mining (5 papers)
- Partner nations
- JapanUnited StatesIreland
In The Last Decade
Rikio Onai
29 papers receiving 252 citations
Peers
Comparison fields: 5 of 47
- Computer Vision and Pattern Recognition 97
- Artificial Intelligence 90
- Statistical and Nonlinear Physics 64
- Transportation 54
- Information Systems 53
Countries citing papers authored by Rikio Onai
This map shows the geographic impact of Rikio Onai'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 Rikio Onai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rikio Onai more than expected).
Fields of papers citing papers by Rikio Onai
This network shows the impact of papers produced by Rikio Onai. 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 Rikio Onai. The network helps show where Rikio Onai may publish in the future.
Co-authorship network of co-authors of Rikio Onai
This figure shows the co-authorship network connecting the top 25 collaborators of Rikio Onai. A scholar is included among the top collaborators of Rikio Onai 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 Rikio Onai. Rikio Onai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 6 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | Development of a scalable search engine using open source softwares | 1 |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | RE: Why - A prototype system for extracting answers of a "Why" type question from Web pages | 1 |
| 10 | 1 | |
| 11 | 1 | |
| 12 | MineBlog: A System for Arousing Interest by Recommending Blog Articles | 1 |
| 13 | Retrieval of landscape pictures using user-drawn sketch and semantic icons | 2 |
| 14 | Video Skimming Method for Flexible Play Time. | 2 |
| 15 | 0 | |
| 16 | 6 | |
| 17 | 0 | |
| 18 | 6 | |
| 19 | 9 | |
| 20 | ARCHITECTURES AND HARDWARE SYSTEMS: PARALLEL INFERENCE MACHINE AND KNOWLEDGE BASE MACHINE. | 11 |
About Rikio Onai
Rikio Onai is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Software, having authored 33 papers that have together received 270 indexed citations. Recurring topics across this work include Video Analysis and Summarization (8 papers), Image Retrieval and Classification Techniques (7 papers) and Sentiment Analysis and Opinion Mining (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (32 citations), Transportation (54 citations) and Statistical and Nonlinear Physics (64 citations). Rikio Onai has collaborated with scholars based in Japan, United States and Ireland. Frequent co-authors include Makoto Okabe, Yoshinori Dobashi, Ken Anjyo, Kunio Murakami, Amin Shoukry, Kanae Masuda, Takahiro Hayashi, Akira Matsumoto, Satoshi Kurihara and Yutaka Matsuo. Their work appears in journals such as IEEE Access, ACM Transactions on Graphics and Future Generation Computer Systems.
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.