Ikumi Suzuki
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Molecular Biology
- Management Science and Operations Research
- Biomedical Engineering
- Co-authors
- Kazuo HaraKenji FukumizuMasashi ShimboMiloš RadovanovićMarco SaerensYasuyuki SakaiIkki HoriguchiTakashi Ikegami
- Topics
- Topic Modeling (3 papers)Face and Expression Recognition (3 papers)Advanced Image and Video Retrieval Techniques (2 papers)
In The Last Decade
Ikumi Suzuki
12 papers receiving 53 citations
Peers
Comparison fields: 5 of 29
- Artificial Intelligence 38
- Computer Vision and Pattern Recognition 19
- Molecular Biology 6
- Management Science and Operations Research 5
- Biomedical Engineering 5
Countries citing papers authored by Ikumi Suzuki
This map shows the geographic impact of Ikumi Suzuki'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 Ikumi Suzuki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ikumi Suzuki more than expected).
Fields of papers citing papers by Ikumi Suzuki
This network shows the impact of papers produced by Ikumi Suzuki. 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 Ikumi Suzuki. The network helps show where Ikumi Suzuki may publish in the future.
Co-authorship network of co-authors of Ikumi Suzuki
This figure shows the co-authorship network connecting the top 25 collaborators of Ikumi Suzuki. A scholar is included among the top collaborators of Ikumi Suzuki 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 Ikumi Suzuki. Ikumi Suzuki 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 | 1 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 6 | |
| 9 | 4 | |
| 10 | 5 | |
| 11 | 0 | |
| 12 | 15 | |
| 13 | 3 | |
| 14 | 12 | |
| 15 | 0 | |
| 16 | 1 |
About Ikumi Suzuki
Ikumi Suzuki is a scholar working on Energy Engineering and Power Technology, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 16 papers that have together received 55 indexed citations. Recurring topics across this work include Topic Modeling (3 papers), Face and Expression Recognition (3 papers) and Advanced Image and Video Retrieval Techniques (2 papers). The work is most often cited by research in Artificial Intelligence (38 citations), Computer Vision and Pattern Recognition (19 citations) and General Dentistry (1 citation). Ikumi Suzuki has collaborated with scholars based in Japan, Belgium and Serbia. Frequent co-authors include Kazuo Hara, Kenji Fukumizu, Masashi Shimbo, Miloš Radovanović, Marco Saerens, Yasuyuki Sakai, Ikki Horiguchi, Takashi Ikegami, Yūji Matsumoto and Takashi Takenouchi. Their work appears in journals such as Journal of Visualized Experiments, Advanced Robotics and Cancer Informatics.
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.