Mitsunori Ogihara
- Artificial Intelligence top 0.5%
- Information Systems top 0.2%
- Signal Processing top 0.2%
- Computational Theory and Mathematics top 0.2%
- Computer Vision and Pattern Recognition top 1%
- Co-authors
- Mohammed J. ZakiSrinivasan ParthasarathyTao LiLi WeiShenghuo ZhuChengliang ZhangQi LiSheng Ma
- Topics
- Music and Audio Processing (30 papers)Complexity and Algorithms in Graphs (23 papers)Music Technology and Sound Studies (20 papers)
- Partner nations
- United StatesJapanGermany
In The Last Decade
Mitsunori Ogihara
154 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 190
- Artificial Intelligence 2.1k
- Information Systems 1.5k
- Signal Processing 1.5k
- Computational Theory and Mathematics 1.3k
- Computer Vision and Pattern Recognition 1.1k
Countries citing papers authored by Mitsunori Ogihara
This map shows the geographic impact of Mitsunori Ogihara'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 Mitsunori Ogihara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitsunori Ogihara more than expected).
Fields of papers citing papers by Mitsunori Ogihara
This network shows the impact of papers produced by Mitsunori Ogihara. 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 Mitsunori Ogihara. The network helps show where Mitsunori Ogihara may publish in the future.
Co-authorship network of co-authors of Mitsunori Ogihara
This figure shows the co-authorship network connecting the top 25 collaborators of Mitsunori Ogihara. A scholar is included among the top collaborators of Mitsunori Ogihara 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 Mitsunori Ogihara. Mitsunori Ogihara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | Categorical Timeline Allocation and Alignment for Diagnostic Head Movement Tracking Feature Analysis | 1 |
| 4 | 9 | |
| 5 | 3 | |
| 6 | Music clustering with constraints | 8 |
| 7 | 2 | |
| 8 | 23 | |
| 9 | 1 | |
| 10 | Detecting Emotion in Music | 164 |
| 11 | 10 | |
| 12 | 26 | |
| 13 | 6 | |
| 14 | 2 | |
| 15 | Relating the minimum model for DNA computation and Boolean circuits | 4 |
| 16 | PLANMINE: sequence mining for plan failures | 43 |
| 17 | New algorithms for fast discovery of association rulesbreakdown → | 699 |
| 18 | Sparse Hard Sets for P Yield Space-Efficient Algorithms | 1 |
| 19 | 7 | |
| 20 | 27 |
About Mitsunori Ogihara
Mitsunori Ogihara is a scholar working on Signal Processing, Computational Theory and Mathematics and Computer Vision and Pattern Recognition, having authored 160 papers that have together received 5.1k indexed citations. Recurring topics across this work include Music and Audio Processing (30 papers), Complexity and Algorithms in Graphs (23 papers) and Music Technology and Sound Studies (20 papers). The work is most often cited by research in Signal Processing (1.5k citations), Computational Theory and Mathematics (1.3k citations) and Information Systems (1.5k citations). Mitsunori Ogihara has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Mohammed J. Zaki, Srinivasan Parthasarathy, Tao Li, Li Wei, Shenghuo Zhu, Tao Li, Chengliang Zhang, Tao Li, Qi Li and Tao Li. Their work appears in journals such as Nature, Journal of Biological Chemistry and 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.