Takuya Nakaike
- Computer Networks and Communications top 5%
- Hardware and Architecture top 5%
- Information Systems top 5%
- Artificial Intelligence
- Experimental and Cognitive Psychology
- Co-authors
- Moriyoshi OharaTakanori UedaMaged M. MichaelMatthew GaudetQi ZhangH. Q. LeWilliam J. StarkeDan Williams
- Topics
- Parallel Computing and Optimization Techniques (14 papers)Distributed systems and fault tolerance (10 papers)Advanced Data Storage Technologies (6 papers)
- Journals
- IBM Journal of Research and DevelopmentACM SIGPLAN NoticesConcurrency and Computation Practice and Experience
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Takuya Nakaike
15 papers receiving 262 citations
Peers
Comparison fields: 5 of 21
- Computer Networks and Communications 252
- Hardware and Architecture 129
- Information Systems 118
- Artificial Intelligence 31
- Experimental and Cognitive Psychology 29
Countries citing papers authored by Takuya Nakaike
This map shows the geographic impact of Takuya Nakaike'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 Takuya Nakaike with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takuya Nakaike more than expected).
Fields of papers citing papers by Takuya Nakaike
This network shows the impact of papers produced by Takuya Nakaike. 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 Takuya Nakaike. The network helps show where Takuya Nakaike may publish in the future.
Co-authorship network of co-authors of Takuya Nakaike
This figure shows the co-authorship network connecting the top 25 collaborators of Takuya Nakaike. A scholar is included among the top collaborators of Takuya Nakaike 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 Takuya Nakaike. Takuya Nakaike is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 36 | |
| 2 | 9 | |
| 3 | 76 | |
| 4 | 54 | |
| 5 | 40 | |
| 6 | 7 | |
| 7 | 20 | |
| 8 | 1 | |
| 9 | 5 | |
| 10 | 6 | |
| 11 | 8 | |
| 12 | 2 | |
| 13 | 0 | |
| 14 | 9 | |
| 15 | 2 | |
| 16 | 3 | |
| 17 | 0 | |
| 18 | 0 |
About Takuya Nakaike
Takuya Nakaike is a scholar working on Hardware and Architecture, Software and Computer Networks and Communications, having authored 18 papers that have together received 278 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (14 papers), Distributed systems and fault tolerance (10 papers) and Advanced Data Storage Technologies (6 papers). The work is most often cited by research in Hardware and Architecture (129 citations), Computer Networks and Communications (252 citations) and Information Systems (118 citations). Takuya Nakaike has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Moriyoshi Ohara, Takanori Ueda, Maged M. Michael, Matthew Gaudet, Qi Zhang, H. Q. Le, William J. Starke, Dan Williams, Toshio Nakatani and José G. Castaños. Their work appears in journals such as IBM Journal of Research and Development, ACM SIGPLAN Notices and Concurrency and Computation Practice and Experience.
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.