Shiro Suyama

1.6k total citations
123 papers, 1.1k citations indexed

About

Shiro Suyama is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Human-Computer Interaction. According to data from OpenAlex, Shiro Suyama has authored 123 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Media Technology, 44 papers in Computer Vision and Pattern Recognition and 34 papers in Human-Computer Interaction. Recurrent topics in Shiro Suyama's work include Advanced Optical Imaging Technologies (75 papers), Virtual Reality Applications and Impacts (22 papers) and Advanced Vision and Imaging (18 papers). Shiro Suyama is often cited by papers focused on Advanced Optical Imaging Technologies (75 papers), Virtual Reality Applications and Impacts (22 papers) and Advanced Vision and Imaging (18 papers). Shiro Suyama collaborates with scholars based in Japan, United States and United Kingdom. Shiro Suyama's co-authors include Hirotsugu Yamamoto, Akio Okamoto, Hideaki Takada, T. Serikawa, Seiiti Shirai, M. Date, Kazutake Uehira, Sakuichi Ohtsuka, Tadashi Serikawa and Kazuhiro Nakazawa and has published in prestigious journals such as Journal of Applied Physics, Optics Express and Applied Surface Science.

In The Last Decade

Shiro Suyama

101 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shiro Suyama Japan 15 616 429 330 302 212 123 1.1k
Elena Stoykova Bulgaria 15 328 0.5× 173 0.4× 76 0.2× 260 0.9× 65 0.3× 122 824
Kiseung Bang South Korea 13 855 1.4× 153 0.4× 444 1.3× 218 0.7× 25 0.1× 28 1.0k
Seokil Moon South Korea 17 803 1.3× 183 0.4× 415 1.3× 250 0.8× 41 0.2× 33 1.3k
Sungyong Jung United States 20 1.0k 1.7× 395 0.9× 527 1.6× 207 0.7× 17 0.1× 108 1.6k
Jonghyun Kim South Korea 15 709 1.2× 97 0.2× 330 1.0× 247 0.8× 16 0.1× 35 982
Chang‐Kun Lee South Korea 15 495 0.8× 117 0.3× 258 0.8× 129 0.4× 19 0.1× 42 695
Keehoon Hong South Korea 20 1.1k 1.9× 96 0.2× 555 1.7× 295 1.0× 23 0.1× 77 1.3k
Daniel E. Smalley United States 9 427 0.7× 124 0.3× 160 0.5× 95 0.3× 21 0.1× 47 638
Gregg E. Favalora United States 7 542 0.9× 46 0.1× 343 1.0× 249 0.8× 23 0.1× 14 686
Phil Surman United Kingdom 12 599 1.0× 51 0.1× 335 1.0× 487 1.6× 20 0.1× 70 984

Countries citing papers authored by Shiro Suyama

Since Specialization
Citations

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

Fields of papers citing papers by Shiro Suyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiro Suyama

This figure shows the co-authorship network connecting the top 25 collaborators of Shiro Suyama. A scholar is included among the top collaborators of Shiro Suyama 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 Shiro Suyama. Shiro Suyama 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.
2.
Suyama, Shiro, et al.. (2024). Formulation and evaluation of polarization-modulated triple-view information display with three TN-LCD layers. Optical Review. 31(2). 215–224. 1 indexed citations
3.
Watanabe, Takumi, et al.. (2024). Embedding Optical Components in Water to Make Aquatic Images Are Unaffected by Water Surface Undulations. IEICE Transactions on Electronics. E108.C(2). 71–77.
4.
Yasugi, Masaki, et al.. (2023). Improved resolution for aerial imaging by retro-reflection with two transparent spheres. Optical Review. 30(1). 122–133. 4 indexed citations
5.
Suyama, Shiro, et al.. (2023). [Paper] Evaluation of Depth Perception Characteristics in Plane Fog Screen. ITE Transactions on Media Technology and Applications. 12(1). 68–77.
6.
Suyama, Shiro, et al.. (2023). Analysis of floating distance of arc 3D display with respect to inclination angle of substrate. Optical Review. 30(6). 637–646.
7.
Hagen, Nathan, et al.. (2022). Aerial video-calling system with eye-matching feature based on polarization-modulated aerial imaging by retro-reflection (p-AIRR). Optical Review. 29(5). 429–439. 9 indexed citations
8.
Yasugi, Masaki, et al.. (2022). Formation of multiple aerial LED signs in multiple lanes formed with AIRR by use of two beam splitters. Optical Review. 30(1). 84–92. 6 indexed citations
9.
Yasugi, Masaki, et al.. (2022). Evaluation of Response Time of AIRR with Immersive Aerial Interface by 3D Motion Capture. Proceedings of the International Display Workshops. 792–792. 1 indexed citations
10.
Yasugi, Masaki, et al.. (2022). 3D Aerial Display Combining Optical See-Through Aerial Imaging by Retro-Reflection with Depth-Fused 3D Display. Proceedings of the International Display Workshops. 379–379. 2 indexed citations
11.
Sato, Keigo, Masaki Yasugi, Shiro Suyama, & Hirotsugu Yamamoto. (2022). Proposal of Spatial Blending That Realizes Eye-Matching by Use of Aerial Display. Proceedings of the International Display Workshops. 375–375. 1 indexed citations
12.
Yamamoto, Kenji, et al.. (2021). Fresnel Arc 3D Display for Rewriting 3D Image with High-Pixel-Density Arrangement and Automatic Arc-Scratch Generation. Proceedings of the International Display Workshops. 889–889. 1 indexed citations
13.
Yamamoto, Hideki, et al.. (2010). Perceived depth change by decreasing visual acuity in a dominant eye on binocular stereoscopic imaging. Perception. 39. 160–160. 3 indexed citations
14.
Kobayashi, Yukio, et al.. (2009). Depth perception in depth-fused 3-D (DFD) display when both eyes have different visual acuity. Perception. 38. 29–29. 2 indexed citations
15.
Kurita, Taiichiro, Tetsuya Miyashita, Jun Someya, et al.. (2006). . The Journal of The Institute of Image Information and Television Engineers. 60(8). 1169–1177. 2 indexed citations
16.
Date, M., et al.. (2005). Reduction of Power Consumption in Compact DFD Display by Using FS Color Technology. IEEE Transactions on Electron Devices. 52(2). 190–193. 6 indexed citations
17.
Suyama, Shiro, et al.. (2004). Evaluation of Relative Visual Fatigue in the Viewing of a Depth-fused 3D Display and 2D Display. 104(419). 25–28. 7 indexed citations
18.
Suyama, Shiro, et al.. (2004). Apparent 3-D image perceived from luminance-modulated two 2-D images displayed at different depths. Vision Research. 44(8). 785–793. 102 indexed citations
19.
Suyama, Shiro, Hideaki Takada, & Sakuichi Ohtsuka. (2002). A Direct-Vision 3-D Display Using a New Depth-fusing Perceptual Phenomenon in 2-D Displays with Different Depths. IEICE Transactions on Electronics. 85(11). 1911–1915. 26 indexed citations
20.
Suyama, Shiro, et al.. (2000). 54.1 A Novel Direct-Vision 3-D Display Using Two Luminance-Modulated 2-D Images Displayed at Different Depths 3:40(2.発表概要)(Report on SID'00). 24(42). 76. 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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