Hidemoto Nakada
- Computer Networks and Communications top 1%
- Information Systems top 1%
- Hardware and Architecture top 2%
- Information Systems and Management top 5%
- Artificial Intelligence
- Co-authors
- Satoshi SekiguchiSatoshi MatsuokaAtsuko TakefusaTakahiro HirofuchiSatoshi ItohYoshio TanakaMitsuhisa SatoHirotaka Ogawa
- Topics
- Distributed and Parallel Computing Systems (50 papers)Cloud Computing and Resource Management (37 papers)Parallel Computing and Optimization Techniques (35 papers)
- Partner nations
- JapanUnited StatesPoland
In The Last Decade
Hidemoto Nakada
81 papers receiving 954 citations
Peers
Comparison fields: 5 of 73
- Computer Networks and Communications 885
- Information Systems 522
- Hardware and Architecture 345
- Information Systems and Management 147
- Artificial Intelligence 75
Countries citing papers authored by Hidemoto Nakada
This map shows the geographic impact of Hidemoto Nakada'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 Hidemoto Nakada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hidemoto Nakada more than expected).
Fields of papers citing papers by Hidemoto Nakada
This network shows the impact of papers produced by Hidemoto Nakada. 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 Hidemoto Nakada. The network helps show where Hidemoto Nakada may publish in the future.
Co-authorship network of co-authors of Hidemoto Nakada
This figure shows the co-authorship network connecting the top 25 collaborators of Hidemoto Nakada. A scholar is included among the top collaborators of Hidemoto Nakada 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 Hidemoto Nakada. Hidemoto Nakada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 11 | |
| 8 | An Implementation of the Master-Worker based Parameter Server and its Application to BESOM | 0 |
| 9 | 9 | |
| 10 | 3 | |
| 11 | 4 | |
| 12 | 5 | |
| 13 | 10 | |
| 14 | Design and Implementation of NAREGI Super-Scheduler based on OGSA Architecture | 1 |
| 15 | 7 | |
| 16 | Development of A Grid Portal Construction Toolkit (PCT4G) Supporting Application Installation and Data Distribution/Update | 0 |
| 17 | GridRPC: A Remote Procedure Call API for Grid Computing | 21 |
| 18 | 6 | |
| 19 | Evaluation of Monitoring Method in the Grid | 1 |
| 20 | 8 |
About Hidemoto Nakada
Hidemoto Nakada is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems, having authored 89 papers that have together received 1.0k indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (50 papers), Cloud Computing and Resource Management (37 papers) and Parallel Computing and Optimization Techniques (35 papers). The work is most often cited by research in Hardware and Architecture (345 citations), Computer Networks and Communications (885 citations) and Information Systems (522 citations). Hidemoto Nakada has collaborated with scholars based in Japan, United States and Poland. Frequent co-authors include Satoshi Sekiguchi, Satoshi Matsuoka, Atsuko Takefusa, Takahiro Hirofuchi, Satoshi Itoh, Yoshio Tanaka, Mitsuhisa Sato, Hirotaka Ogawa, Toyotaro Suzumura and Umpei Nagashima. Their work appears in journals such as IEEE Access, Future Generation Computer Systems and Journal of Grid Computing.
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.