Hiroshi Yamada
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Hardware and Architecture top 5%
- Electrical and Electronic Engineering
- Management Information Systems top 5%
- Co-authors
- Kenji KonoHiroshi SaitōShinpei KatoYusuke SuzukiShigeo UrushidaniMichihiro KoibuchiShigeki YamadaJavier Alonso
- Topics
- Cloud Computing and Resource Management (21 papers)Advanced Data Storage Technologies (15 papers)Parallel Computing and Optimization Techniques (10 papers)
- Cited by
- Computer Networks and CommunicationsHardware and ArchitectureManagement Information Systems
- Journals
- IEEE Journal on Selected Areas in CommunicationsIEEE Transactions on ComputersACM SIGPLAN Notices
- Partner nations
- JapanUnited StatesIreland
In The Last Decade
Hiroshi Yamada
46 papers receiving 419 citations
Peers
Comparison fields: 5 of 51
- Computer Networks and Communications 403
- Information Systems 211
- Hardware and Architecture 113
- Electrical and Electronic Engineering 113
- Management Information Systems 89
Countries citing papers authored by Hiroshi Yamada
This map shows the geographic impact of Hiroshi Yamada'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 Hiroshi Yamada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroshi Yamada more than expected).
Fields of papers citing papers by Hiroshi Yamada
This network shows the impact of papers produced by Hiroshi Yamada. 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 Hiroshi Yamada. The network helps show where Hiroshi Yamada may publish in the future.
Co-authorship network of co-authors of Hiroshi Yamada
This figure shows the co-authorship network connecting the top 25 collaborators of Hiroshi Yamada. A scholar is included among the top collaborators of Hiroshi Yamada 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 Hiroshi Yamada. Hiroshi Yamada 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 | 0 | |
| 3 | 2 | |
| 4 | 5 | |
| 5 | GPUvm: why not virtualizing GPUs at the hypervisor? | 72 |
| 6 | 1 | |
| 7 | 5 | |
| 8 | 34 | |
| 9 | 3 | |
| 10 | 22 | |
| 11 | 1 | |
| 12 | 6 | |
| 13 | 10 | |
| 14 | 3 | |
| 15 | 1 | |
| 16 | 5 | |
| 17 | 15 | |
| 18 | 18 | |
| 19 | 1 | |
| 20 | 1 |
About Hiroshi Yamada
Hiroshi Yamada is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems, having authored 50 papers that have together received 467 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (21 papers), Advanced Data Storage Technologies (15 papers) and Parallel Computing and Optimization Techniques (10 papers). The work is most often cited by research in Computer Networks and Communications (403 citations), Hardware and Architecture (113 citations) and Management Information Systems (89 citations). Hiroshi Yamada has collaborated with scholars based in Japan, United States and Ireland. Frequent co-authors include Kenji Kono, Hiroshi Saitō, Shinpei Kato, Yusuke Suzuki, Shigeo Urushidani, Michihiro Koibuchi, Shigeki Yamada, Javier Alonso, Kensuke Fukuda and Motonori Nakamura. Their work appears in journals such as IEEE Journal on Selected Areas in Communications, IEEE Transactions on Computers and ACM SIGPLAN Notices.
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.