Ryosuke Shibasaki
- Transportation top 0.1%
- Human Mobility and Location-Based Analysis 105
- Urban Transport and Accessibility 42
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- Video Surveillance and Tracking Methods 51
- Building and Construction top 0.5%
- Traffic Prediction and Management Techniques 39
- Geology top 1%
- 3D Surveying and Cultural Heritage 33
- Environmental Engineering top 0.5%
- Remote Sensing and LiDAR Applications 67
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- Robotics and Sensor-Based Localization 35
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- Geographic Information Systems Studies 33
- Co-authors
- Xuan SongHuijing ZhaoXiaowei ShaoYoshihide SekimotoZipei FanHaoran ZhangGuoxin TanQuanshi Zhang
- Journals
- SHILAP Revista de lepidopterología (14 papers)PLoS ONE (2 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)
- Partner nations
- JapanChinaUnited States
In The Last Decade
Ryosuke Shibasaki
425 papers receiving 6.8k citations
Peers
Comparison fields: 5 of 176
- Transportation 1.8k
- Computer Vision and Pattern Recognition 1.6k
- Building and Construction 1.1k
- Geology 425
- Environmental Engineering 1.1k
Countries citing papers authored by Ryosuke Shibasaki
This map shows the geographic impact of Ryosuke Shibasaki'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 Ryosuke Shibasaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryosuke Shibasaki more than expected).
Fields of papers citing papers by Ryosuke Shibasaki
This network shows the impact of papers produced by Ryosuke Shibasaki. 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 Ryosuke Shibasaki. The network helps show where Ryosuke Shibasaki may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ryosuke Shibasaki, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 5 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 0 | |
| 8 | 2023 | 4 | |
| 9 | 2023 | 4 | |
| 10 | 2023 | 0 | |
| 11 | 2022 | 10 | |
| 12 | 2021 | 18 | |
| 13 | 2018 | 6 | |
| 14 | Extraction of significant scenarios for earthquake damage estimation using sparse modeling. | 2017 | 1 |
| 15 | BS-6-35 Event Detection in Individuals Using Mobile Phone Traces(BS-6.Network and service Design, Control and Management) | 2014 | 1 |
| 16 | 2011 | 3 | |
| 17 | 2006 | 25 | |
| 18 | 2005 | 4 | |
| 19 | Basis for consistent representation of land areas, Chapter 2 | 2003 | 1 |
| 20 | GEO-REFERENCING OF MULTI-SENSOR RANGE DATA FOR VEHICLE-BORNE LASER MAPPING SYSTEM ( VLMS ) | 2000 | 7 |
About Ryosuke Shibasaki
Ryosuke Shibasaki is a scholar working on Transportation, Geology and Geography, Planning and Development, having authored 463 papers that have together received 7.2k indexed citations. Recurring topics across this work include Human Mobility and Location-Based Analysis (105 papers), Remote Sensing and LiDAR Applications (67 papers), Video Surveillance and Tracking Methods (51 papers), Urban Transport and Accessibility (42 papers), Traffic Prediction and Management Techniques (39 papers), Robotics and Sensor-Based Localization (35 papers), 3D Surveying and Cultural Heritage (33 papers) and Geographic Information Systems Studies (33 papers). The work is most often cited by research in Transportation (1.8k citations), Computer Vision and Pattern Recognition (1.6k citations) and Building and Construction (1.1k citations). Ryosuke Shibasaki has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Xuan Song, Huijing Zhao, Xiaowei Shao, Yoshihide Sekimoto, Zipei Fan, Haoran Zhang, Guoxin Tan, Quanshi Zhang, Jinshi Cui and Hiroshi Kanasugi. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.