Wataru Shimoda
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Biomedical Engineering
- Public Health, Environmental and Occupational Health
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Keiji YanaiHideki NakayamaChanghee HanGiancarlo MauriHideaki HayashiRyosuke ArakiLeonardo RundoYujiro Furukawa
- Topics
- Advanced Image and Video Retrieval Techniques (10 papers)Generative Adversarial Networks and Image Synthesis (8 papers)Image Retrieval and Classification Techniques (8 papers)
In The Last Decade
Wataru Shimoda
26 papers receiving 461 citations
Peers
Comparison fields: 5 of 92
- Computer Vision and Pattern Recognition 267
- Artificial Intelligence 169
- Biomedical Engineering 101
- Public Health, Environmental and Occupational Health 72
- Radiology, Nuclear Medicine and Imaging 62
Countries citing papers authored by Wataru Shimoda
This map shows the geographic impact of Wataru Shimoda'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 Wataru Shimoda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wataru Shimoda more than expected).
Fields of papers citing papers by Wataru Shimoda
This network shows the impact of papers produced by Wataru Shimoda. 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 Wataru Shimoda. The network helps show where Wataru Shimoda may publish in the future.
Co-authorship network of co-authors of Wataru Shimoda
This figure shows the co-authorship network connecting the top 25 collaborators of Wataru Shimoda. A scholar is included among the top collaborators of Wataru Shimoda 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 Wataru Shimoda. Wataru Shimoda 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 | 1 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 9 | |
| 8 | Self-supervised Difference Detection for Refinement CRF and Seed Interpolation. | 0 |
| 9 | 96 | |
| 10 | 10 | |
| 11 | 2 | |
| 12 | 4 | |
| 13 | 195 | |
| 14 | 12 | |
| 15 | 11 | |
| 16 | 4 | |
| 17 | 13 | |
| 18 | 1 | |
| 19 | Gathering and Analyzing Material Images on the Web with DCNN features | 2 |
| 20 | Identification of Spacio/Temporal Patterns of Earthquake Occurrence Based on a Historical Earthquake Disaster Archive | 1 |
About Wataru Shimoda
Wataru Shimoda is a scholar working on Computer Vision and Pattern Recognition, Biophysics and Computer Graphics and Computer-Aided Design, having authored 28 papers that have together received 480 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (10 papers), Generative Adversarial Networks and Image Synthesis (8 papers) and Image Retrieval and Classification Techniques (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (267 citations), Artificial Intelligence (169 citations) and Biophysics (21 citations). Wataru Shimoda has collaborated with scholars based in Japan and Italy. Frequent co-authors include Keiji Yanai, Hideki Nakayama, Changhee Han, Giancarlo Mauri, Hideaki Hayashi, Ryosuke Araki, Leonardo Rundo, Yujiro Furukawa, Takumi Ege and Jaehyeong Cho. Their work appears in journals such as Frontiers in Psychology, Computer Vision and Image Understanding and Dementia and Geriatric Cognitive Disorders.
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.