Ryota Suzuki

427 total citations
35 papers, 232 citations indexed

About

Ryota Suzuki is a scholar working on Computer Vision and Pattern Recognition, Social Psychology and Artificial Intelligence. According to data from OpenAlex, Ryota Suzuki has authored 35 papers receiving a total of 232 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 7 papers in Social Psychology and 7 papers in Artificial Intelligence. Recurrent topics in Ryota Suzuki's work include Advanced Image and Video Retrieval Techniques (9 papers), Gaze Tracking and Assistive Technology (7 papers) and Multimodal Machine Learning Applications (7 papers). Ryota Suzuki is often cited by papers focused on Advanced Image and Video Retrieval Techniques (9 papers), Gaze Tracking and Assistive Technology (7 papers) and Multimodal Machine Learning Applications (7 papers). Ryota Suzuki collaborates with scholars based in Japan and Bangladesh. Ryota Suzuki's co-authors include Hirokatsu Kataoka, Yutaka Satoh, Kenji Iwata, Yue Qiu, Yoshinori Kuno, Yoshinori Kobayashi, Masao Ohmi, H. Kado, Catherine Bertrand and Akiko Yamazaki and has published in prestigious journals such as Applied Physics Letters, IEEE Transactions on Biomedical Engineering and Sensors.

In The Last Decade

Ryota Suzuki

32 papers receiving 224 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryota Suzuki Japan 9 124 43 33 29 20 35 232
G. Baltus Netherlands 3 73 0.6× 71 1.7× 25 0.8× 70 2.4× 15 0.8× 4 209
Sakuichi Ohtsuka Japan 9 150 1.2× 25 0.6× 101 3.1× 17 0.6× 85 4.3× 54 306
T. Horprasert United States 6 288 2.3× 26 0.6× 51 1.5× 9 0.3× 11 0.6× 6 318
Fabio Bettio Italy 10 166 1.3× 30 0.7× 79 2.4× 16 0.6× 46 2.3× 31 324
Xuanyu He China 8 271 2.2× 73 1.7× 10 0.3× 11 0.4× 25 1.3× 8 358
Zetian Mi China 9 309 2.5× 38 0.9× 22 0.7× 11 0.4× 9 0.5× 25 361
Zilu Ying China 11 284 2.3× 53 1.2× 16 0.5× 11 0.4× 10 0.5× 46 413
Xiaotian Qiao Hong Kong 7 251 2.0× 28 0.7× 22 0.7× 10 0.3× 18 0.9× 11 294
Bruce E. Flinchbaugh United States 7 172 1.4× 28 0.7× 14 0.4× 44 1.5× 98 4.9× 10 278

Countries citing papers authored by Ryota Suzuki

Since Specialization
Citations

This map shows the geographic impact of Ryota 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 Ryota Suzuki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryota Suzuki more than expected).

Fields of papers citing papers by Ryota Suzuki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryota 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 Ryota Suzuki. The network helps show where Ryota Suzuki may publish in the future.

Co-authorship network of co-authors of Ryota Suzuki

This figure shows the co-authorship network connecting the top 25 collaborators of Ryota Suzuki. A scholar is included among the top collaborators of Ryota 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 Ryota Suzuki. Ryota Suzuki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Suzuki, Ryota, et al.. (2024). Phase behavior of the carbon dioxide/toluene/poly(methyl methacrylate) ternary system. Fluid Phase Equilibria. 585. 114153–114153. 2 indexed citations
2.
Suzuki, Ryota, et al.. (2024). Phase behavior of the carbon dioxide/toluene/poly(ethylene glycol) ternary system. Fluid Phase Equilibria. 588. 114227–114227. 1 indexed citations
3.
Suzuki, Ryota, et al.. (2024). PerFication: A Person Identifying Technique by Evaluating Gait with 2D LiDAR Data. Electronics. 13(16). 3137–3137. 1 indexed citations
4.
Suzuki, Ryota, et al.. (2021). A Case Study on User Evaluation of Scientific Publication Summarization by Japanese Students. Applied Sciences. 11(14). 6287–6287. 1 indexed citations
5.
Yamada, Ryosuke, Ryo Takahashi, Ryota Suzuki, et al.. (2021). MV-FractalDB: Formula-driven Supervised Learning for Multi-view Image Recognition. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 2076–2083. 6 indexed citations
6.
Qiu, Yue, et al.. (2021). Describing and Localizing Multiple Changes with Transformers. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 1951–1960. 51 indexed citations
7.
Qiu, Yue, Yutaka Satoh, Ryota Suzuki, Kenji Iwata, & Hirokatsu Kataoka. (2020). 3D-Aware Scene Change Captioning From Multiview Images. IEEE Robotics and Automation Letters. 5(3). 4743–4750. 20 indexed citations
8.
Qiu, Yue, Yutaka Satoh, Ryota Suzuki, Kenji Iwata, & Hirokatsu Kataoka. (2020). Indoor Scene Change Captioning Based on Multimodality Data. Sensors. 20(17). 4761–4761. 18 indexed citations
9.
Qiu, Yue, Yutaka Satoh, Ryota Suzuki, Kenji Iwata, & Hirokatsu Kataoka. (2020). Multi-View Visual Question Answering with Active Viewpoint Selection. Sensors. 20(8). 2281–2281. 5 indexed citations
10.
Suzuki, Ryota, et al.. (2019). Hyperbolic Disk Embeddings for Directed Acyclic Graphs. International Conference on Machine Learning. 6066–6075. 2 indexed citations
11.
Qiu, Yue, Yutaka Satoh, Ryota Suzuki, & Hirokatsu Kataoka. (2019). Incorporating 3D Information Into Visual Question Answering. 756–765. 2 indexed citations
12.
Suzuki, Ryota, et al.. (2018). Ge/Siヘテロ接合トンネル電界効果トランジスタの電気特性に及ぼすGe源中の不純物濃度の影響【JST・京大機械翻訳】. Applied Physics Letters. 113(6). 62103–62103. 1 indexed citations
13.
Abe, Kaori, Teppei Suzuki, Yue Qiu, et al.. (2018). Fashion Culture Database: Construction of Database for World-wide Fashion Analysis. 1721–1726. 2 indexed citations
14.
Qiu, Yue, Yutaka Satoh, Ryota Suzuki, & Hirokatsu Kataoka. (2017). Voting-based Object Recognition with 3-Dimensional Confidence Map from Multiple Viewpoints. Journal of the Japan Society for Precision Engineering. 83(12). 1125–1130.
15.
Suzuki, Ryota, et al.. (2016). Maintaining Formation of Multiple Robotic Wheelchairs for Smooth Communication. International Journal of Artificial Intelligence Tools. 25(5). 1640005–1640005. 1 indexed citations
16.
Sato, Yoshihisa, Ryota Suzuki, Yoshinori Kobayashi, et al.. (2013). A maneuverable robotic wheelchair able to move adaptively with a caregiver by considering the situation. 282–287. 8 indexed citations
17.
Chihara, Kazuyuki, et al.. (2012). Adsorption of organics on MSC5A in supercritical CO2, chromatographic measurements & stop & go simulation. Adsorption. 18(5-6). 417–422. 2 indexed citations
18.
Bertrand, Catherine, Masao Ohmi, Ryota Suzuki, & H. Kado. (2001). A probabilistic solution to the MEG inverse problem via MCMC methods: the reversible jump and parallel tempering algorithms. IEEE Transactions on Biomedical Engineering. 48(5). 533–542. 26 indexed citations
19.
Suzuki, Ryota, et al.. (1998). A Neural Network Model for Extracting Correlated Information in Sensory Integration. International Conference on Neural Information Processing. 873–876.
20.
Suzuki, Ryota, Yuko Nakajima, Naomi Yagi, et al.. (1994). Enhancement of Rectal Absorption of Rifampicin by Sodium para-Aminosalicylate Dihydrate in Human Subjects. YAKUGAKU ZASSHI. 114(11). 894–900. 3 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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