Hiromitsu Hama
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Computer Networks and Communications
- Aerospace Engineering
- Information Systems
- Co-authors
- Thi Thi ZinPyke TinIkuo KobayashiMd. Al-Amin BhuiyanKazunobu KogiMai SakaiTadamichi MorisakaKeisuke Toda
- Topics
- Advanced Image and Video Retrieval Techniques (18 papers)Video Surveillance and Tracking Methods (16 papers)Image Retrieval and Classification Techniques (9 papers)
- Partner nations
- JapanSouth KoreaUnited States
In The Last Decade
Hiromitsu Hama
55 papers receiving 253 citations
Peers
Comparison fields: 5 of 69
- Computer Vision and Pattern Recognition 182
- Artificial Intelligence 52
- Computer Networks and Communications 30
- Aerospace Engineering 29
- Information Systems 24
Countries citing papers authored by Hiromitsu Hama
This map shows the geographic impact of Hiromitsu Hama'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 Hiromitsu Hama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiromitsu Hama more than expected).
Fields of papers citing papers by Hiromitsu Hama
This network shows the impact of papers produced by Hiromitsu Hama. 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 Hiromitsu Hama. The network helps show where Hiromitsu Hama may publish in the future.
Co-authorship network of co-authors of Hiromitsu Hama
This figure shows the co-authorship network connecting the top 25 collaborators of Hiromitsu Hama. A scholar is included among the top collaborators of Hiromitsu Hama 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 Hiromitsu Hama. Hiromitsu Hama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 14 | |
| 3 | A DATA-DRIVEN KEY INFORMATION SEARCH SYSTEM IN BIG DATA ANALYTICS | 0 |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 12 | |
| 7 | EVIDENCE FUSION METHOD FOR ABANDONED OBJECT DETECTION | 2 |
| 8 | 34 | |
| 9 | 7 | |
| 10 | 6 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 0 | |
| 14 | 6 | |
| 15 | 4 | |
| 16 | 3D Reconstruction of parametric curves: recovering the control points | 1 |
| 17 | An Accurate Method for Finding the Control Points of Bezier Curves | 0 |
| 18 | 2 | |
| 19 | Cumulant-Based Adaptive Deconvolution for Multichannel Tracking | 1 |
| 20 | 0 |
About Hiromitsu Hama
Hiromitsu Hama is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Space and Planetary Science, having authored 63 papers that have together received 284 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (18 papers), Video Surveillance and Tracking Methods (16 papers) and Image Retrieval and Classification Techniques (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (182 citations), Small Animals (14 citations) and Safety, Risk, Reliability and Quality (15 citations). Hiromitsu Hama has collaborated with scholars based in Japan, South Korea and United States. Frequent co-authors include Thi Thi Zin, Pyke Tin, Ikuo Kobayashi, Md. Al-Amin Bhuiyan, Kazunobu Kogi, Mai Sakai, Tadamichi Morisaka, Keisuke Toda, Jiro Okamoto and Mingyong Zhou. Their work appears in journals such as Sensors, Pattern Recognition and Applied Sciences.
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.