Gen Hattori
Impact in
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- Face recognition and analysis
- Face and Expression Recognition
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- Emotion and Mood Recognition
Papers in
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- Face recognition and analysis 5
- Context-Aware Activity Recognition Systems 2
- Face and Expression Recognition 2
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- Web Data Mining and Analysis 7
- Recommender Systems and Techniques 3
- Co-authors
- Kazushi Ikeda (7 shared papers)Jianming Wu (9 shared papers)Chihiro Ono (11 shared papers)Bo Yang (6 shared papers)Hideki Asoh (2 shared papers)Teruo Higashino (2 shared papers)Fumiaki Sugaya (1 shared paper)Kazunori Matsumoto (3 shared papers)
In The Last Decade
Gen Hattori
24 papers receiving 294 citations
Peers
Comparison fields: 5 of 64
- Computer Vision and Pattern Recognition 127
- Experimental and Cognitive Psychology 62
- Human-Computer Interaction 27
- Information Systems 83
- Artificial Intelligence 117
Countries citing papers authored by Gen Hattori
This map shows the geographic impact of Gen Hattori'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 Gen Hattori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gen Hattori more than expected).
Fields of papers citing papers by Gen Hattori
This network shows the impact of papers produced by Gen Hattori. 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 Gen Hattori. The network helps show where Gen Hattori may publish in the future.
Co-authors
The 25 scholars most cited alongside Gen Hattori, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 101 | |
| 2 | 2007 | 43 | |
| 3 | 2021 | 28 | |
| 4 | 2020 | 24 | |
| 5 | 2022 | 23 | |
| 6 | 2020 | 17 | |
| 7 | 2021 | 13 | |
| 8 | 2022 | 13 | |
| 9 | 2022 | 9 | |
| 10 | 2012 | 8 | |
| 11 | 2004 | 7 | |
| 12 | 2011 | 4 | |
| 13 | 2013 | 4 | |
| 14 | 2013 | 4 | |
| 15 | Understanding User Behavior on Online Music Distribution Sites: A Discourse Approach | 2015 | 2 |
| 16 | 2008 | 2 | |
| 17 | Recommendation of Kigo for Support to Create Haiku : Photo-Haiku Communication | 2011 | 1 |
| 18 | 2012 | 1 | |
| 19 | 2012 | 1 | |
| 20 | Automatic query expansion and classification for television related tweet collection | 2012 | 1 |
About Gen Hattori
Gen Hattori is a scholar working on Computer Vision and Pattern Recognition, Information Systems, Artificial Intelligence, Computer Networks and Communications and Experimental and Cognitive Psychology, having authored 27 papers that have together received 312 indexed citations. Recurring topics across this work include Web Data Mining and Analysis (7 papers), Face recognition and analysis (5 papers), Emotion and Mood Recognition (5 papers), Recommender Systems and Techniques (3 papers), Complex Network Analysis Techniques (3 papers), Text and Document Classification Technologies (3 papers), Context-Aware Activity Recognition Systems (2 papers) and Face and Expression Recognition (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (127 citations), Experimental and Cognitive Psychology (62 citations), Human-Computer Interaction (27 citations), Information Systems (83 citations) and Artificial Intelligence (117 citations). Gen Hattori has collaborated with scholars based in Japan, China and Vietnam. Frequent co-authors include Kazushi Ikeda, Jianming Wu, Chihiro Ono, Bo Yang, Hideki Asoh, Teruo Higashino, Fumiaki Sugaya, Kazunori Matsumoto, Keiichiro Hoashi and Yusuke Iwasawa. Their work appears in journals such as Pattern Recognition Letters, International Journal of Web and Grid Services, Knowledge-Based Systems, Personal and Ubiquitous Computing and Journal of Ambient Intelligence and Humanized Computing.
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.