Atsuhiro Kojima
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Control and Systems Engineering
- Human-Computer Interaction top 10%
- Signal Processing
- Co-authors
- Kunio FukunagaKoichi FukunagaShigeki AokiT. TamuraMasaki OnishiMasayuki IzumiYoshio IwaiTadahiro Kitahashi
- Topics
- Human Pose and Action Recognition (10 papers)Advanced Image and Video Retrieval Techniques (5 papers)Multimodal Machine Learning Applications (5 papers)
- Journals
- International Journal of Computer VisionWorld NeurosurgeryEuropean Journal of Combinatorics
- Partner nations
- JapanRussiaUnited States
In The Last Decade
Atsuhiro Kojima
20 papers receiving 351 citations
Peers
Comparison fields: 5 of 39
- Computer Vision and Pattern Recognition 335
- Artificial Intelligence 83
- Control and Systems Engineering 34
- Human-Computer Interaction 28
- Signal Processing 19
Countries citing papers authored by Atsuhiro Kojima
This map shows the geographic impact of Atsuhiro Kojima'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 Atsuhiro Kojima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Atsuhiro Kojima more than expected).
Fields of papers citing papers by Atsuhiro Kojima
This network shows the impact of papers produced by Atsuhiro Kojima. 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 Atsuhiro Kojima. The network helps show where Atsuhiro Kojima may publish in the future.
Co-authorship network of co-authors of Atsuhiro Kojima
This figure shows the co-authorship network connecting the top 25 collaborators of Atsuhiro Kojima. A scholar is included among the top collaborators of Atsuhiro Kojima 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 Atsuhiro Kojima. Atsuhiro Kojima is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 前庭神経鞘腫手術における目に見えない蝸牛神経の機能保存のための蝸牛神経活動電位モニタリング【Powered by NICT】 | 1 |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 2 | |
| 6 | A Robust Road Sign Recognition by Superposing Extracted Regions from Successive Frames | 4 |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | Toward a Cooperative Recognition of Human Behaviors and Related Objects | 1 |
| 13 | 4 | |
| 14 | 19 | |
| 15 | 6 | |
| 16 | 20 | |
| 17 | 9 | |
| 18 | 17 | |
| 19 | 231 | |
| 20 | 25 |
About Atsuhiro Kojima
Atsuhiro Kojima is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Geography, Planning and Development, having authored 21 papers that have together received 362 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (10 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Multimodal Machine Learning Applications (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (335 citations), Human-Computer Interaction (28 citations) and Artificial Intelligence (83 citations). Atsuhiro Kojima has collaborated with scholars based in Japan, Russia and United States. Frequent co-authors include Kunio Fukunaga, Koichi Fukunaga, Shigeki Aoki, T. Tamura, Masaki Onishi, Masayuki Izumi, Yoshio Iwai, Tadahiro Kitahashi, Koichi Kise and Hitoshi Yamauchi. Their work appears in journals such as International Journal of Computer Vision, World Neurosurgery and European Journal of Combinatorics.
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.