Akihiko Torii
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- Advanced Image and Video Retrieval Techniques 26
- Advanced Vision and Imaging 16
- Image and Object Detection Techniques 4
- Image Retrieval and Classification Techniques 4
- Aerospace Engineering top 0.5%
- Robotics and Sensor-Based Localization 26
- Geology top 1%
- 3D Surveying and Cultural Heritage 4
- Media Technology top 2%
- Remote-Sensing Image Classification 3
- Image Processing Techniques and Applications 3
- Environmental Engineering top 10%
- Co-authors
- Tomáš PajdlaJosef ŠivicRelja ArandjelovićPetr GronátMasatoshi OkutomiMarc PollefeysTorsten SattlerIgnacio Rocco
- Journals
- SHILAP Revista de lepidopterología (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (7 papers)Sensors (1 paper)
In The Last Decade
Akihiko Torii
41 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Computer Vision and Pattern Recognition 2.7k
- Aerospace Engineering 1.9k
- Geology 338
- Media Technology 188
- Environmental Engineering 153
Countries citing papers authored by Akihiko Torii
This map shows the geographic impact of Akihiko Torii'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 Akihiko Torii with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akihiko Torii more than expected).
Fields of papers citing papers by Akihiko Torii
This network shows the impact of papers produced by Akihiko Torii. 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 Akihiko Torii. The network helps show where Akihiko Torii may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Akihiko Torii, 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 | 2023 | 1 | |
| 2 | 2023 | 1 | |
| 3 | 2020 | 113 | |
| 4 | 2019 | 79 | |
| 5 | 2018 | 18 | |
| 6 | 2017 | 88 | |
| 7 | 2016 | 2 | |
| 8 | NetVLAD: CNN architecture for weakly supervised place recognitionbreakdown → | 2015 | 1136 |
| 9 | 2015 | 19 | |
| 10 | 2014 | 4 | |
| 11 | Geometries of panoramic images and 3D vision | 2010 | 2 |
| 12 | Automatic Reconstruction of Mars Artifacts | 2009 | 1 |
| 13 | 2009 | 23 | |
| 14 | 2009 | 44 | |
| 15 | 2009 | 63 | |
| 16 | 2008 | 1 | |
| 17 | 2008 | 4 | |
| 18 | 2005 | 0 | |
| 19 | 2004 | 8 | |
| 20 | 2003 | 26 |
About Akihiko Torii
Akihiko Torii is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Media Technology, having authored 42 papers that have together received 3.1k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (26 papers), Robotics and Sensor-Based Localization (26 papers), Advanced Vision and Imaging (16 papers), Image and Object Detection Techniques (4 papers), 3D Surveying and Cultural Heritage (4 papers), Image Retrieval and Classification Techniques (4 papers), Remote-Sensing Image Classification (3 papers) and Image Processing Techniques and Applications (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.7k citations), Aerospace Engineering (1.9k citations) and Geology (338 citations). Akihiko Torii has collaborated with scholars based in Japan, Czechia and France. Frequent co-authors include Tomáš Pajdla, Josef Šivic, Relja Arandjelović, Petr Gronát, Masatoshi Okutomi, Marc Pollefeys, Torsten Sattler, Ignacio Rocco, Mihai Dusmanu and Michal Havlena. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Sensors.
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.