Ikumi Suzuki

412 total citations
16 papers, 55 citations indexed

About

Ikumi Suzuki is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Ikumi Suzuki has authored 16 papers receiving a total of 55 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Molecular Biology. Recurrent topics in Ikumi Suzuki's work include Topic Modeling (3 papers), Face and Expression Recognition (3 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Ikumi Suzuki is often cited by papers focused on Topic Modeling (3 papers), Face and Expression Recognition (3 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Ikumi Suzuki collaborates with scholars based in Japan, Serbia and Belgium. Ikumi Suzuki's co-authors include Kazuo Hara, Kenji Fukumizu, Masashi Shimbo, Miloš Radovanović, Marco Saerens, Ikki Horiguchi, Yasuyuki Sakai, Yūji Matsumoto, Takashi Ikegami and Miki Ohira and has published in prestigious journals such as Journal of Visualized Experiments, Advanced Robotics and Cancer Informatics.

In The Last Decade

Ikumi Suzuki

12 papers receiving 53 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Ikumi Suzuki Japan	5	38	19	6	5	5	16	55
Tri Dao United States	6	37 1.0×	20 1.1×	18 3.0×	2 0.4×	5 1.0×	12	74
Bingzheng Wei China	5	42 1.1×	34 1.8×	5 0.8×	2 0.4×	5 1.0×	9	70
Mohammad Al Sa’d United Kingdom	3	28 0.7×	26 1.4×	2 0.3×	2 0.4×	5 1.0×	4	58
Alexander Kalinovsky Belarus	4	22 0.6×	16 0.8×	3 0.5×	2 0.4×	7 1.4×	5	58
S. Dey India	5	14 0.4×	20 1.1×	9 1.5×	8 1.6×	6 1.2×	12	66
Rafael Rafailov United States	3	37 1.0×	13 0.7×	2 0.3×	4 0.8×	2 0.4×	4	62
Arkady Epshteyn United States	5	42 1.1×	10 0.5×	7 1.2×	6 1.2×		7	56
Dongang Wang Australia	5	21 0.6×	13 0.7×	4 0.7×	1 0.2×	4 0.8×	8	48
Stephen Mussmann United States	5	84 2.2×	24 1.3×	5 0.8×	5 1.0×	1 0.2×	10	93
Yafu Li China	6	77 2.0×	20 1.1×	5 0.8×	1 0.2×	2 0.4×	17	108

Countries citing papers authored by Ikumi Suzuki

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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16 of 16 papers shown

Kimura, Keisuke, et al.. (2022). Cross‐regional power supply‐demand analysis model based on clustered unit commitment. Electrical Engineering in Japan. 215(1). 1 indexed citations

Hara, Kazuo, et al.. (2021). Semantic Entanglement on Verb Negation. 71–78.

Hara, Kazuo, et al.. (2021). Impact of Duplicating Small Training Data on GANs. 308–315. 1 indexed citations

Suzuki, Ikumi, Kazuo Hara, Masashi Shimbo, Yūji Matsumoto, & Marco Saerens. (2021). Investigating the Effectiveness of Laplacian-Based Kernels in Hub Reduction. Proceedings of the AAAI Conference on Artificial Intelligence. 26(1). 1112–1118. 3 indexed citations

Hara, Kazuo, et al.. (2021). Impact of Duplicating Small Training Data on GANs. 308–315. 2 indexed citations

Abe, Kazuki, et al.. (2020). Study on visual machine-learning on the omnidirectional transporting robot. Advanced Robotics. 34(13). 917–930. 1 indexed citations

Suzuki, Ikumi, et al.. (2020). Long-term Transition of the Value of PV and Wind Power Installation based on the Renewable Energy Penetration Scenario. IEEJ Transactions on Power and Energy. 140(6). 521–530. 1 indexed citations

Horiguchi, Ikki, et al.. (2019). An Orbital Shaking Culture of Mammalian Cells in O-shaped Vessels to Produce Uniform Aggregates. Journal of Visualized Experiments. 6 indexed citations

Suzuki, Ikumi & Kazuo Hara. (2017). Centered kNN Graph for Semi-Supervised Learning. 857–860. 4 indexed citations

10.

Hara, Kazuo, et al.. (2016). Flattening the Density Gradient for Eliminating Spatial Centrality to Reduce Hubness. Proceedings of the AAAI Conference on Artificial Intelligence. 30(1). 5 indexed citations

11.

Shigeto, Yutaro, Ikumi Suzuki, Kazuo Hara, Masashi Shimbo, & Yūji Matsumoto. (2015). Reducing Hub Translation Candidates Improves the Accuracy of Bilingual Lexicon Extraction from Comparable Corpora. Transactions of the Japanese Society for Artificial Intelligence. 31(2). E–F43_1.

12.

Hara, Kazuo, et al.. (2015). Localized Centering: Reducing Hubness in Large-Sample Data. Proceedings of the AAAI Conference on Artificial Intelligence. 29(1). 15 indexed citations

13.

Hara, Kazuo, et al.. (2015). Reducing Hubness. 815–818. 3 indexed citations

14.

Suzuki, Ikumi, Kazuo Hara, Masashi Shimbo, Marco Saerens, & Kenji Fukumizu. (2013). Centering Similarity Measures to Reduce Hubs. 613–623. 12 indexed citations

15.

Suzuki, Ikumi, et al.. (2012). Understanding marine traffic laws and actions to be taken by small craft navigators. The Journal of Japan Institute of Navigation. 126(0). 161–170.

16.

Suzuki, Ikumi, Takashi Takenouchi, Miki Ohira, Shigeyuki Oba, & Shin Ishii. (2009). Robust Model Selection for Classification of Microarrays. Cancer Informatics. 7. CIN.S2704–CIN.S2704. 1 indexed citations

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.

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