Junichi Tomida
Impact in
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- Cryptography and Data Security
- Privacy-Preserving Technologies in Data
- Coding theory and cryptography
- Internet Traffic Analysis and Secure E-voting
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- Complexity and Algorithms in Graphs
Papers in
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- Cryptography and Data Security 6
- Privacy-Preserving Technologies in Data 2
- Coding theory and cryptography 1
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- Complexity and Algorithms in Graphs 4
- Co-authors
- Ryo Nishimaki (1 shared paper)Koki Hamada (2 shared papers)Ryo Kikuchi (1 shared paper)Masayuki Abe (1 shared paper)Yuko Okada (1 shared paper)Gilad Asharov (1 shared paper)Akira Terao (1 shared paper)Tatsuaki Okamoto (1 shared paper)
- Journals
- Designs Codes and Cryptography (1 paper)Theoretical Computer Science (1 paper)IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences (2 papers)Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security (1 paper)PubMed (1 paper)
In The Last Decade
Junichi Tomida
6 papers receiving 33 citations
Peers
Comparison fields: 5 of 19
- Artificial Intelligence 27
- Computational Theory and Mathematics 11
- Behavioral Neuroscience 2
- Information Systems 6
- Computer Science Applications 1
Countries citing papers authored by Junichi Tomida
This map shows the geographic impact of Junichi Tomida'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 Junichi Tomida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junichi Tomida more than expected).
Fields of papers citing papers by Junichi Tomida
This network shows the impact of papers produced by Junichi Tomida. 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 Junichi Tomida. The network helps show where Junichi Tomida may publish in the future.
Co-authors
The 16 scholars most cited alongside Junichi Tomida, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 10 | |
| 2 | 2021 | 8 | |
| 3 | 2014 | 5 | |
| 4 | 2020 | 4 | |
| 5 | 2019 | 4 | |
| 6 | 2023 | 2 | |
| 7 | 2020 | 0 |
About Junichi Tomida
Junichi Tomida is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Information Systems, Computer Networks and Communications and Behavioral Neuroscience, having authored 7 papers that have together received 33 indexed citations. Recurring topics across this work include Cryptography and Data Security (6 papers), Complexity and Algorithms in Graphs (4 papers), Privacy-Preserving Technologies in Data (2 papers), Advanced Authentication Protocols Security (1 paper), Cloud Data Security Solutions (1 paper), Security in Wireless Sensor Networks (1 paper), Coding theory and cryptography (1 paper) and Adipose Tissue and Metabolism (1 paper). The work is most often cited by research in Artificial Intelligence (27 citations), Computational Theory and Mathematics (11 citations), Behavioral Neuroscience (2 citations), Information Systems (6 citations) and Computer Science Applications (1 citation). Junichi Tomida has collaborated with scholars based in Japan and Israel. Frequent co-authors include Ryo Nishimaki, Koki Hamada, Ryo Kikuchi, Masayuki Abe, Yuko Okada, Gilad Asharov, Akira Terao, Tatsuaki Okamoto, Yuko Okamatsu‐Ogura and Benny Pinkas. Their work appears in journals such as Designs Codes and Cryptography, Theoretical Computer Science, IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences, Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security and PubMed.
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.