Ryusuke Masuoka
- Information Systems top 1%
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Co-authors
- Elaine ShiMarkus JakobssonJesús MolinaRichard ChowJessica StaddonPhilippe GolleZhexuan SongÁlvaro A. Cárdenas
- Topics
- Service-Oriented Architecture and Web Services (6 papers)Semantic Web and Ontologies (4 papers)Neural Networks and Applications (3 papers)
- Journals
- IEEE Intelligent SystemsIEICE Transactions on Information and SystemsIEEJ Transactions on Electronics Information and Systems
- Partner nations
- United StatesJapanIsrael
In The Last Decade
Ryusuke Masuoka
20 papers receiving 824 citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Information Systems 599
- Artificial Intelligence 406
- Computer Networks and Communications 390
- Computer Vision and Pattern Recognition 137
- Electrical and Electronic Engineering 81
Countries citing papers authored by Ryusuke Masuoka
This map shows the geographic impact of Ryusuke Masuoka'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 Ryusuke Masuoka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryusuke Masuoka more than expected).
Fields of papers citing papers by Ryusuke Masuoka
This network shows the impact of papers produced by Ryusuke Masuoka. 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 Ryusuke Masuoka. The network helps show where Ryusuke Masuoka may publish in the future.
Co-authorship network of co-authors of Ryusuke Masuoka
This figure shows the co-authorship network connecting the top 25 collaborators of Ryusuke Masuoka. A scholar is included among the top collaborators of Ryusuke Masuoka 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 Ryusuke Masuoka. Ryusuke Masuoka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 66 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | Data Loss Prevention Technologies | 11 |
| 5 | 39 | |
| 6 | 71 | |
| 7 | Controlling data in the cloudbreakdown → | 507 |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 8 | |
| 11 | Position Paper for W3C Workshop on Rule Languages for Interoperability. | 1 |
| 12 | 8 | |
| 13 | 22 | |
| 14 | 50 | |
| 15 | 13 | |
| 16 | 2 | |
| 17 | 4 | |
| 18 | 2 | |
| 19 | World-Wide Web (WWW) | 30 |
| 20 | 1 |
About Ryusuke Masuoka
Ryusuke Masuoka is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence, having authored 21 papers that have together received 945 indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (6 papers), Semantic Web and Ontologies (4 papers) and Neural Networks and Applications (3 papers). The work is most often cited by research in Information Systems (599 citations), Computer Networks and Communications (390 citations) and Artificial Intelligence (406 citations). Ryusuke Masuoka has collaborated with scholars based in United States, Japan and Israel. Frequent co-authors include Elaine Shi, Markus Jakobsson, Jesús Molina, Richard Chow, Jessica Staddon, Philippe Golle, Zhexuan Song, Álvaro A. Cárdenas, Yannis Labrou and Yuval Elovici. Their work appears in journals such as IEEE Intelligent Systems, IEICE Transactions on Information and Systems and IEEJ Transactions on Electronics Information and 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.