Haruo Yokota
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- Advanced Data Storage Technologies 36
- Advanced Database Systems and Queries 27
- Caching and Content Delivery 16
- Distributed and Parallel Computing Systems 16
- Distributed systems and fault tolerance 15
- Signal Processing top 10%
- Data Management and Algorithms 16
- Information Systems top 5%
- Artificial Intelligence top 5%
- Semantic Web and Ontologies 13
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- Video Analysis and Summarization 10
Haruo Yokota
94 papers receiving 473 citations
Peers
Comparison fields: 5 of 57
- Computer Networks and Communications 314
- Signal Processing 98
- Information Systems 188
- Artificial Intelligence 216
- Computer Vision and Pattern Recognition 85
Countries citing papers authored by Haruo Yokota
This map shows the geographic impact of Haruo Yokota'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 Haruo Yokota with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haruo Yokota more than expected).
Fields of papers citing papers by Haruo Yokota
This network shows the impact of papers produced by Haruo Yokota. 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 Haruo Yokota. The network helps show where Haruo Yokota may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Haruo Yokota, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 1 | |
| 2 | 2022 | 6 | |
| 3 | 2022 | 9 | |
| 4 | 2021 | 6 | |
| 5 | 2021 | 2 | |
| 6 | JARS: Join-aware distributed RDF storage | 2016 | 2 |
| 7 | XML Documents Searching Combining Structure and Keywords Similarities | 2013 | 0 |
| 8 | 2008 | 1 | |
| 9 | Simultaneous Pursuit of Load Balancing by Data Migration and Quality of Response Performance on Parallel Storage Systems | 2008 | 1 |
| 10 | 2008 | 0 | |
| 11 | 2008 | 0 | |
| 12 | 2006 | 8 | |
| 13 | Application of Voice Data for Retrieving Unified Presentation Contents | 2005 | 1 |
| 14 | A New Solution for Extracting Laser Pointer Information from Lecture Videos | 2004 | 1 |
| 15 | UPRISE: Unified Presentation Slide Retrieval by Impression Search Engine | 2004 | 14 |
| 16 | Special Issue on Dependable Computing | 2003 | 1 |
| 17 | 2000 | 2 | |
| 18 | 1991 | 1 | |
| 19 | Retrieval-By-Unification Operation on a Relational Knowledge Base | 1986 | 3 |
| 20 | Query Processing Flow on RDBM Delta's Functionally-Distributed Architecture. | 1984 | 6 |
About Haruo Yokota
Haruo Yokota is a scholar working on Computer Networks and Communications, Signal Processing and Information Systems, having authored 107 papers that have together received 546 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (36 papers), Advanced Database Systems and Queries (27 papers), Data Management and Algorithms (16 papers), Caching and Content Delivery (16 papers), Distributed and Parallel Computing Systems (16 papers), Distributed systems and fault tolerance (15 papers), Semantic Web and Ontologies (13 papers) and Video Analysis and Summarization (10 papers). The work is most often cited by research in Computer Networks and Communications (314 citations), Signal Processing (98 citations) and Information Systems (188 citations). Haruo Yokota has collaborated with scholars based in Japan, Taiwan and Russia. Frequent co-authors include Takashi Kobayashi, Jun Miyazaki, Shreelekha Pandey, Yasuhiko Kanemasa, Pritee Khanna, Wenxin Liang, Shoji Nishimura, Kunio Murakami, Sy‐Yen Kuo and Chia-Mu Yu. Their work appears in journals such as IEEE Access, IEEE Journal on Selected Areas in Communications and Gene.
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.