Keiko Hashizume
- Information Systems top 1%
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Signal Processing top 10%
- Sociology and Political Science
- Co-authors
- Eduardo B. FernándezDavid G. RosadoEduardo Fernández‐MedinaMaría M. Larrondo-PetrieNobukazu YoshiokaShihong Huang
- Topics
- Cloud Computing and Resource Management (5 papers)Cloud Data Security Solutions (5 papers)Advanced Database Systems and Queries (3 papers)
- Partner nations
- United StatesChileSpain
In The Last Decade
Keiko Hashizume
11 papers receiving 492 citations
Hit Papers
Peers
Comparison fields: 5 of 46
- Information Systems 461
- Artificial Intelligence 219
- Computer Networks and Communications 211
- Signal Processing 62
- Sociology and Political Science 32
Countries citing papers authored by Keiko Hashizume
This map shows the geographic impact of Keiko Hashizume'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 Keiko Hashizume with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keiko Hashizume more than expected).
Fields of papers citing papers by Keiko Hashizume
This network shows the impact of papers produced by Keiko Hashizume. 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 Keiko Hashizume. The network helps show where Keiko Hashizume may publish in the future.
Co-authorship network of co-authors of Keiko Hashizume
This figure shows the co-authorship network connecting the top 25 collaborators of Keiko Hashizume. A scholar is included among the top collaborators of Keiko Hashizume 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 Keiko Hashizume. Keiko Hashizume is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 49 | |
| 2 | An analysis of security issues for cloud computingbreakdown → | 431 |
| 3 | A Pattern for Whitelisting Firewalls (WLF) | 3 |
| 4 | Whitelisting firewall pattern (WLF) | 1 |
| 5 | Two patterns for cloud computing: secure virtual machine image repository and cloud policy management point | 11 |
| 6 | 10 | |
| 7 | 9 | |
| 8 | 6 | |
| 9 | Misuse patterns for cloud computing | 1 |
| 10 | 18 | |
| 11 | Digital Signature with Hashing and XML Signature patterns. | 4 |
| 12 | 9 |
About Keiko Hashizume
Keiko Hashizume is a scholar working on Development, Information Systems and Computer Networks and Communications, having authored 12 papers that have together received 552 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (5 papers), Cloud Data Security Solutions (5 papers) and Advanced Database Systems and Queries (3 papers). The work is most often cited by research in Information Systems (461 citations), Computer Networks and Communications (211 citations) and Artificial Intelligence (219 citations). Keiko Hashizume has collaborated with scholars based in United States, Chile and Spain. Frequent co-authors include Eduardo B. Fernández, David G. Rosado, Eduardo Fernández‐Medina, María M. Larrondo-Petrie, Nobukazu Yoshioka and Shihong Huang. Their work appears in journals such as Future Internet, Requirements Engineering and Journal of Internet Services and Applications.
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.