Koichi Moriyama
- Cognitive Neuroscience top 10%
- Experimental and Cognitive Psychology top 10%
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Signal Processing
- Co-authors
- Masayuki NumaoKen–ichi FukuiNattapong ThammasanRoberto LegaspiSatoshi KuriharaNobuhiro InuzukaKiyoshi KiyokawaMatthew A. Wilson
- Topics
- Emotion and Mood Recognition (6 papers)Reinforcement Learning in Robotics (5 papers)Evolutionary Game Theory and Cooperation (5 papers)
- Journals
- Knowledge-Based SystemsJMIR Medical InformaticsIEICE Transactions on Information and Systems
- Partner nations
- JapanPhilippinesBelgium
In The Last Decade
Koichi Moriyama
38 papers receiving 309 citations
Peers
Comparison fields: 5 of 71
- Cognitive Neuroscience 163
- Experimental and Cognitive Psychology 133
- Artificial Intelligence 59
- Computer Vision and Pattern Recognition 45
- Signal Processing 43
Countries citing papers authored by Koichi Moriyama
This map shows the geographic impact of Koichi Moriyama'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 Koichi Moriyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koichi Moriyama more than expected).
Fields of papers citing papers by Koichi Moriyama
This network shows the impact of papers produced by Koichi Moriyama. 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 Koichi Moriyama. The network helps show where Koichi Moriyama may publish in the future.
Co-authorship network of co-authors of Koichi Moriyama
This figure shows the co-authorship network connecting the top 25 collaborators of Koichi Moriyama. A scholar is included among the top collaborators of Koichi Moriyama 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 Koichi Moriyama. Koichi Moriyama 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 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 4 | |
| 11 | 1 | |
| 12 | 74 | |
| 13 | 52 | |
| 14 | 11 | |
| 15 | 2 | |
| 16 | 24 | |
| 17 | 6 | |
| 18 | 5 | |
| 19 | 2 | |
| 20 | Microsurgical techniques in the genetic engineering of Mammalian embryos at the preimplantation stage. | 1 |
About Koichi Moriyama
Koichi Moriyama is a scholar working on Artificial Intelligence, Signal Processing and Experimental and Cognitive Psychology, having authored 45 papers that have together received 318 indexed citations. Recurring topics across this work include Emotion and Mood Recognition (6 papers), Reinforcement Learning in Robotics (5 papers) and Evolutionary Game Theory and Cooperation (5 papers). The work is most often cited by research in Experimental and Cognitive Psychology (133 citations), Cognitive Neuroscience (163 citations) and Human-Computer Interaction (37 citations). Koichi Moriyama has collaborated with scholars based in Japan, Philippines and Belgium. Frequent co-authors include Masayuki Numao, Ken–ichi Fukui, Nattapong Thammasan, Roberto Legaspi, Satoshi Kurihara, Nobuhiro Inuzuka, Kiyoshi Kiyokawa, Matthew A. Wilson, Fabian Kloosterman and Masashi Okada. Their work appears in journals such as Knowledge-Based Systems, JMIR Medical Informatics and IEICE Transactions on Information and Systems.
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.