Susumu Date
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Information Systems and Management top 10%
- Artificial Intelligence
- Molecular Biology
- Co-authors
- Kohei IchikawaShinji ShimojoJason HagaYuko Mizuno‐MatsumotoChonho LeeDavid AbramsonChihiro TanikawaRajkumar Buyya
- Topics
- Distributed and Parallel Computing Systems (34 papers)Software-Defined Networks and 5G (26 papers)Cloud Computing and Resource Management (23 papers)
- Cited by
- Computer Networks and CommunicationsInformation Systems and ManagementHardware and Architecture
- Journals
- BioinformaticsIEEE AccesseLife
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Susumu Date
77 papers receiving 428 citations
Peers
Comparison fields: 5 of 94
- Computer Networks and Communications 250
- Information Systems 131
- Information Systems and Management 61
- Artificial Intelligence 58
- Molecular Biology 47
Countries citing papers authored by Susumu Date
This map shows the geographic impact of Susumu Date'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 Susumu Date with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susumu Date more than expected).
Fields of papers citing papers by Susumu Date
This network shows the impact of papers produced by Susumu Date. 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 Susumu Date. The network helps show where Susumu Date may publish in the future.
Co-authorship network of co-authors of Susumu Date
This figure shows the co-authorship network connecting the top 25 collaborators of Susumu Date. A scholar is included among the top collaborators of Susumu Date 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 Susumu Date. Susumu Date 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 | 7 | |
| 4 | 8 | |
| 5 | 5 | |
| 6 | Towards a Smart Dental Healthcare: An Automated Assessment of Orthodontic Treatment Need | 6 |
| 7 | 2 | |
| 8 | 8 | |
| 9 | 26 | |
| 10 | 3 | |
| 11 | 7 | |
| 12 | 4 | |
| 13 | 12 | |
| 14 | 1 | |
| 15 | 21 | |
| 16 | Neuroscience instrumentation and distributed analysis of brain activity data: a case for eScience on global Grids: Research Articles | 7 |
| 17 | Architecture of a grid-enabled research platform with location-transparency for bioinformatics. | 1 |
| 18 | 5 | |
| 19 | 16 | |
| 20 | 3 |
About Susumu Date
Susumu Date is a scholar working on Information Systems and Management, Computer Networks and Communications and Hardware and Architecture, having authored 88 papers that have together received 449 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (34 papers), Software-Defined Networks and 5G (26 papers) and Cloud Computing and Resource Management (23 papers). The work is most often cited by research in Computer Networks and Communications (250 citations), Information Systems and Management (61 citations) and Hardware and Architecture (45 citations). Susumu Date has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Kohei Ichikawa, Shinji Shimojo, Jason Haga, Yuko Mizuno‐Matsumoto, Chonho Lee, David Abramson, Chihiro Tanikawa, Rajkumar Buyya, Srikumar Venugopal and Eiji Kawai. Their work appears in journals such as Bioinformatics, IEEE Access and eLife.
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.