Masanori Ohya
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- Statistical Mechanics and Entropy 17
- Advanced Thermodynamics and Statistical Mechanics 12
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- Quantum Mechanics and Applications 64
- Artificial Intelligence top 1%
- Quantum Information and Cryptography 46
- Quantum Computing Algorithms and Architecture 43
- General Decision Sciences top 5%
- Mathematical Physics top 5%
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- Computability, Logic, AI Algorithms 17
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- Neural dynamics and brain function 6
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- Machine Learning in Bioinformatics 4
Masanori Ohya
110 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 99
- Statistical and Nonlinear Physics 676
- Atomic and Molecular Physics, and Optics 1.3k
- Artificial Intelligence 1.0k
- General Decision Sciences 53
- Mathematical Physics 170
Countries citing papers authored by Masanori Ohya
This map shows the geographic impact of Masanori Ohya'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 Masanori Ohya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masanori Ohya more than expected).
Fields of papers citing papers by Masanori Ohya
This network shows the impact of papers produced by Masanori Ohya. 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 Masanori Ohya. The network helps show where Masanori Ohya may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Masanori Ohya, 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 | On a PRNG based on non-commutative algebra and its applications | 2014 | 1 |
| 2 | 2013 | 35 | |
| 3 | 2012 | 24 | |
| 4 | Strongly Asymmetric PKD Cryptographic Algorithms -- an implementation using the matrix model | 2011 | 2 |
| 5 | 2011 | 15 | |
| 6 | 2011 | 73 | |
| 7 | Entangled Quantum Markov Chain satisyfying Entanglement Condition (Non-Commutative Analysis and Micro-Macro Duality) | 2009 | 0 |
| 8 | Quantum teleportation with non-maximal entangled state | 2009 | 2 |
| 9 | 2009 | 1 | |
| 10 | 2009 | 14 | |
| 11 | 2008 | 11 | |
| 12 | 2007 | 2 | |
| 13 | 2007 | 1 | |
| 14 | Generalized Quantum Turing Machine and Its Application for SAT Problem | 2006 | 0 |
| 15 | 2004 | 13 | |
| 16 | 1998 | 12 | |
| 17 | 1995 | 4 | |
| 18 | On Multiple Alignment of Genome Sequences | 1992 | 3 |
| 19 | 1984 | 20 | |
| 20 | 1981 | 37 |
About Masanori Ohya
Masanori Ohya is a scholar working on Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics and Artificial Intelligence, having authored 119 papers that have together received 2.0k indexed citations. Recurring topics across this work include Quantum Mechanics and Applications (64 papers), Quantum Information and Cryptography (46 papers), Quantum Computing Algorithms and Architecture (43 papers), Statistical Mechanics and Entropy (17 papers), Computability, Logic, AI Algorithms (17 papers), Advanced Thermodynamics and Statistical Mechanics (12 papers), Neural dynamics and brain function (6 papers) and Machine Learning in Bioinformatics (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (676 citations), Atomic and Molecular Physics, and Optics (1.3k citations) and Artificial Intelligence (1.0k citations). Masanori Ohya has collaborated with scholars based in Japan, Sweden and Germany. Frequent co-authors include Dėnes Petz, Andrei Khrennikov, Masanari Asano, Yoshiharu Tanaka, Irina Basieva, И. В. Волович, Luigi Accardi, Ichiro Yamato, Makoto Tsukada and Fumio Hiai. Their work appears in journals such as Bioinformatics, Physical Review A and BMC Bioinformatics.
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.