Keiichiro Hoashi
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 5%
- Artificial Intelligence top 10%
- Information Systems top 10%
- Sociology and Political Science
- Co-authors
- Kazunori MatsumotoNaomi InoueKazushi IkedaFumiaki SugayaJianming WuYanan WangYasser MohammadGen Hattori
- Topics
- Video Analysis and Summarization (14 papers)Music and Audio Processing (11 papers)Advanced Image and Video Retrieval Techniques (9 papers)
In The Last Decade
Keiichiro Hoashi
42 papers receiving 432 citations
Peers
Comparison fields: 5 of 64
- Computer Vision and Pattern Recognition 247
- Signal Processing 161
- Artificial Intelligence 130
- Information Systems 91
- Sociology and Political Science 36
Countries citing papers authored by Keiichiro Hoashi
This map shows the geographic impact of Keiichiro Hoashi'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 Keiichiro Hoashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keiichiro Hoashi more than expected).
Fields of papers citing papers by Keiichiro Hoashi
This network shows the impact of papers produced by Keiichiro Hoashi. 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 Keiichiro Hoashi. The network helps show where Keiichiro Hoashi may publish in the future.
Co-authorship network of co-authors of Keiichiro Hoashi
This figure shows the co-authorship network connecting the top 25 collaborators of Keiichiro Hoashi. A scholar is included among the top collaborators of Keiichiro Hoashi 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 Keiichiro Hoashi. Keiichiro Hoashi 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 | 9 | |
| 3 | 2 | |
| 4 | 13 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 28 | |
| 8 | 8 | |
| 9 | 14 | |
| 10 | High-Level Feature Extraction Experiments for TRECVID 2007 | 5 |
| 11 | Content-based Retrieval of User Generated Video Using Frame Clustering | 2 |
| 12 | 43 | |
| 13 | 2 | |
| 14 | 14 | |
| 15 | Shot Boundary Detection and High-Level Feature Extraction Experiments for TRECVID 2006. | 3 |
| 16 | Shot Boundary Determination on MPEG Compressed Domain and Story Segmentation Experiments for TRECVID 2004 | 19 |
| 17 | 7 | |
| 18 | Experiments on the TREC-8 Filtering Track. | 3 |
| 19 | 2 | |
| 20 | TREC-7 Experiments: Query Expansion Method Based on Word Contribution. | 1 |
About Keiichiro Hoashi
Keiichiro Hoashi is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, having authored 46 papers that have together received 463 indexed citations. Recurring topics across this work include Video Analysis and Summarization (14 papers), Music and Audio Processing (11 papers) and Advanced Image and Video Retrieval Techniques (9 papers). The work is most often cited by research in Signal Processing (161 citations), Computer Vision and Pattern Recognition (247 citations) and Human-Computer Interaction (32 citations). Keiichiro Hoashi has collaborated with scholars based in Japan, Egypt and Sweden. Frequent co-authors include Kazunori Matsumoto, Naomi Inoue, Kazushi Ikeda, Fumiaki Sugaya, Jianming Wu, Yanan Wang, Yasser Mohammad, Gen Hattori, Yasuhiro Takishima and Shuntaro Yada. Their work appears in journals such as Journal of Materials Science, Applied Intelligence and IEICE Transactions on Information and Systems.
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.