Shohei Mori
- Computer Vision and Pattern Recognition top 2%
- Computer Networks and Communications top 5%
- Human-Computer Interaction top 2%
- Statistical and Nonlinear Physics top 5%
- Electrical and Electronic Engineering
- Co-authors
- Tetsuro EndoHideo SaitôSei IkedaDenis KalkofenDieter SchmalstiegTobias LanglotzPeter MohrFumihisa Shibata
- Topics
- Advanced Vision and Imaging (22 papers)Augmented Reality Applications (18 papers)Computer Graphics and Visualization Techniques (13 papers)
In The Last Decade
Shohei Mori
62 papers receiving 821 citations
Peers
Comparison fields: 5 of 87
- Computer Vision and Pattern Recognition 363
- Computer Networks and Communications 251
- Human-Computer Interaction 229
- Statistical and Nonlinear Physics 209
- Electrical and Electronic Engineering 119
Countries citing papers authored by Shohei Mori
This map shows the geographic impact of Shohei Mori'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 Shohei Mori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shohei Mori more than expected).
Fields of papers citing papers by Shohei Mori
This network shows the impact of papers produced by Shohei Mori. 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 Shohei Mori. The network helps show where Shohei Mori may publish in the future.
Co-authorship network of co-authors of Shohei Mori
This figure shows the co-authorship network connecting the top 25 collaborators of Shohei Mori. A scholar is included among the top collaborators of Shohei Mori 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 Shohei Mori. Shohei Mori 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 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 6 | |
| 8 | 5 | |
| 9 | 3 | |
| 10 | 7 | |
| 11 | 5 | |
| 12 | 7 | |
| 13 | 4 | |
| 14 | 11 | |
| 15 | 2 | |
| 16 | 2 | |
| 17 | 107 | |
| 18 | 0 | |
| 19 | 6 | |
| 20 | Chaotic phenomena in a four-dimensional circuit with two ideal diodes | 1 |
About Shohei Mori
Shohei Mori is a scholar working on Computer Graphics and Computer-Aided Design, Human-Computer Interaction and Computer Vision and Pattern Recognition, having authored 74 papers that have together received 860 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (22 papers), Augmented Reality Applications (18 papers) and Computer Graphics and Visualization Techniques (13 papers). The work is most often cited by research in Human-Computer Interaction (229 citations), Computer Vision and Pattern Recognition (363 citations) and Statistical and Nonlinear Physics (209 citations). Shohei Mori has collaborated with scholars based in Japan, Austria and Germany. Frequent co-authors include Tetsuro Endo, Hideo Saitô, Sei Ikeda, Denis Kalkofen, Dieter Schmalstieg, Tobias Langlotz, Peter Mohr, Fumihisa Shibata, Asako Kimura and Stefanie Zollmann. Their work appears in journals such as NeuroImage, Proceedings of the IEEE and IEEE Transactions on Visualization and Computer Graphics.
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.