Kazuma Ohara
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 5%
- Information Systems top 10%
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Co-authors
- Toshinori ArakiJun FurukawaYehuda LindellAriel NofKazuo OhtaYusuke SakaiBenny PinkasMitsugu Iwamoto
- Topics
- Cryptography and Data Security (15 papers)Complexity and Algorithms in Graphs (11 papers)Privacy-Preserving Technologies in Data (7 papers)
- Journals
- Security and Communication NetworksIEICE Transactions on Fundamentals of Electronics Communications and Computer SciencesarXiv (Cornell University)
- Partner nations
- JapanIsraelSwitzerland
In The Last Decade
Kazuma Ohara
17 papers receiving 356 citations
Peers
Comparison fields: 5 of 32
- Artificial Intelligence 332
- Computational Theory and Mathematics 107
- Information Systems 78
- Computer Networks and Communications 43
- Computer Vision and Pattern Recognition 41
Countries citing papers authored by Kazuma Ohara
This map shows the geographic impact of Kazuma Ohara'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 Kazuma Ohara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazuma Ohara more than expected).
Fields of papers citing papers by Kazuma Ohara
This network shows the impact of papers produced by Kazuma Ohara. 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 Kazuma Ohara. The network helps show where Kazuma Ohara may publish in the future.
Co-authorship network of co-authors of Kazuma Ohara
This figure shows the co-authorship network connecting the top 25 collaborators of Kazuma Ohara. A scholar is included among the top collaborators of Kazuma Ohara 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 Kazuma Ohara. Kazuma Ohara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 7 | |
| 4 | 1 | |
| 5 | 30 | |
| 6 | 7 | |
| 7 | 9 | |
| 8 | 1 | |
| 9 | 7 | |
| 10 | 5 | |
| 11 | 21 | |
| 12 | 4 | |
| 13 | 50 | |
| 14 | 194 | |
| 15 | 3 | |
| 16 | 16 | |
| 17 | 9 |
About Kazuma Ohara
Kazuma Ohara is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Geometry and Topology, having authored 17 papers that have together received 367 indexed citations. Recurring topics across this work include Cryptography and Data Security (15 papers), Complexity and Algorithms in Graphs (11 papers) and Privacy-Preserving Technologies in Data (7 papers). The work is most often cited by research in Artificial Intelligence (332 citations), Computational Theory and Mathematics (107 citations) and Information Systems (78 citations). Kazuma Ohara has collaborated with scholars based in Japan, Israel and Switzerland. Frequent co-authors include Toshinori Araki, Jun Furukawa, Yehuda Lindell, Ariel Nof, Kazuo Ohta, Yusuke Sakai, Benny Pinkas, Mitsugu Iwamoto, Goichiro Hanaoka and Marcel Keller. Their work appears in journals such as Security and Communication Networks, IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences and arXiv (Cornell University).
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.