Koichi Shimono
- Cognitive Neuroscience top 5%
- Media Technology top 2%
- Computer Vision and Pattern Recognition top 5%
- Human-Computer Interaction top 5%
- Epidemiology
- Co-authors
- Wa James TamFilippo SperanzaSumio YanoHiroshi OnoAtsuki HigashiyamaShinya SaidaAlistair P. MappNicholas Wade
- Topics
- Visual perception and processing mechanisms (28 papers)Ophthalmology and Visual Impairment Studies (7 papers)Advanced Optical Imaging Technologies (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- JapanCanadaUnited Kingdom
In The Last Decade
Koichi Shimono
33 papers receiving 475 citations
Peers
Comparison fields: 5 of 66
- Cognitive Neuroscience 305
- Media Technology 200
- Computer Vision and Pattern Recognition 167
- Human-Computer Interaction 106
- Epidemiology 74
Countries citing papers authored by Koichi Shimono
This map shows the geographic impact of Koichi Shimono'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 Shimono with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koichi Shimono more than expected).
Fields of papers citing papers by Koichi Shimono
This network shows the impact of papers produced by Koichi Shimono. 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 Shimono. The network helps show where Koichi Shimono may publish in the future.
Co-authorship network of co-authors of Koichi Shimono
This figure shows the co-authorship network connecting the top 25 collaborators of Koichi Shimono. A scholar is included among the top collaborators of Koichi Shimono 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 Shimono. Koichi Shimono is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 3 | |
| 8 | 8 | |
| 9 | 228 | |
| 10 | 6 | |
| 11 | 5 | |
| 12 | Contraction of perceived size and perceived depth in mirrors | 4 |
| 13 | 9 | |
| 14 | 6 | |
| 15 | 9 | |
| 16 | 12 | |
| 17 | 43 | |
| 18 | 3 | |
| 19 | 17 | |
| 20 | 2 |
About Koichi Shimono
Koichi Shimono is a scholar working on Cognitive Neuroscience, Media Technology and Statistics and Probability, having authored 36 papers that have together received 491 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (28 papers), Ophthalmology and Visual Impairment Studies (7 papers) and Advanced Optical Imaging Technologies (5 papers). The work is most often cited by research in Media Technology (200 citations), Human-Computer Interaction (106 citations) and Cognitive Neuroscience (305 citations). Koichi Shimono has collaborated with scholars based in Japan, Canada and United Kingdom. Frequent co-authors include Wa James Tam, Filippo Speranza, Sumio Yano, Hiroshi Ono, Atsuki Higashiyama, Hiroshi Ono, Shinya Saida, Alistair P. Mapp, Hiroshi Ono and Nicholas Wade. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.