Ryo Furukawa

1.7k total citations
102 papers, 1.1k citations indexed

About

Ryo Furukawa is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Ryo Furukawa has authored 102 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Computer Vision and Pattern Recognition, 31 papers in Aerospace Engineering and 20 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Ryo Furukawa's work include Advanced Vision and Imaging (65 papers), Optical measurement and interference techniques (49 papers) and Robotics and Sensor-Based Localization (30 papers). Ryo Furukawa is often cited by papers focused on Advanced Vision and Imaging (65 papers), Optical measurement and interference techniques (49 papers) and Robotics and Sensor-Based Localization (30 papers). Ryo Furukawa collaborates with scholars based in Japan, United States and Poland. Ryo Furukawa's co-authors include Hiroshi Kawasaki, Ryusuke Sagawa, Yasushi Yagi, Naoki Asada, Shinsaku Hiura, Leon O. Chua, Takashi Matsumoto, Daisuke Miyazaki, Katsushi Ikeuchi and Masao Sakauchi and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and International Journal of Computer Vision.

In The Last Decade

Ryo Furukawa

90 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ryo Furukawa Japan	17	788	190	189	186	148	102	1.1k
Frank P. Ferrie Canada	18	934 1.2×	554 2.9×	190 1.0×	70 0.4×	85 0.6×	79	1.4k
Jiahao Pang Hong Kong	15	857 1.1×	106 0.6×	61 0.3×	212 1.1×	90 0.6×	44	1.1k
Kwang Moo Yi Canada	17	926 1.2×	391 2.1×	70 0.4×	37 0.2×	64 0.4×	64	1.2k
George Vogiatzis United Kingdom	19	1.7k 2.1×	486 2.6×	433 2.3×	192 1.0×	634 4.3×	39	2.1k
Paulo R. S. Mendonça United States	16	692 0.9×	200 1.1×	70 0.4×	86 0.5×	55 0.4×	44	1.2k
David McAllister United States	12	703 0.9×	94 0.5×	58 0.3×	44 0.2×	708 4.8×	13	1.1k
Konstantinos Daniilidis Germany	7	816 1.0×	384 2.0×	62 0.3×	80 0.4×	13 0.1×	9	1.1k
Or Litany United States	17	755 1.0×	182 1.0×	173 0.9×	31 0.2×	315 2.1×	33	1.3k
Dylan Campbell Australia	13	976 1.2×	749 3.9×	419 2.2×	46 0.2×	40 0.3×	30	1.5k
Venu Madhav Govindu India	14	770 1.0×	572 3.0×	266 1.4×	52 0.3×	57 0.4×	32	1.1k

Countries citing papers authored by Ryo Furukawa

Since Specialization

Citations

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

Fields of papers citing papers by Ryo Furukawa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryo Furukawa

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

All Works

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20 of 20 papers shown

Furukawa, Ryo, Ryusuke Sagawa, Shiro Oka, & Hiroshi Kawasaki. (2024). NeRF-based multi-frame 3D integration for 3D endoscopy using active stereo. PubMed. 2024. 1–5.

Masuda, Takeshi, Ryusuke Sagawa, Ryo Furukawa, & Hiroshi Kawasaki. (2024). View Synthesis of Endoscope Images by Monocular Depth Prediction and Gaussian Splatting. PubMed. 2024. 1–6.

Furukawa, Ryo, et al.. (2023). Heterogeneous Domain Adaptation with Positive and Unlabeled Data. 778–787.

Teranishi, Isamu, et al.. (2022). Continual Horizontal Federated Learning for Heterogeneous Data. 2022 International Joint Conference on Neural Networks (IJCNN). 1–8. 9 indexed citations

Kawasaki, Hiroshi, Ryo Furukawa, & Ryusuke Sagawa. (2021). Challenges on Active 3D Scan for Ultra-Fast Motion, Micro Scale and Extreme Environment. Journal of the Japan Society for Precision Engineering. 87(8). 656–661.

Furukawa, Ryo, Shiro Oka, Takahiro Kotachi, et al.. (2021). Active Stereo Method for 3D Endoscopes using Deep-layer GCN and Graph Representation with Proximity Information. 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2021. 7551–7555. 2 indexed citations

Nada, Yuzuru, et al.. (2020). Effects of Sub-Chamber Configuration on Heat Release Rate in a Constant Volume Chamber simulating Lean-burn Natural Gas Engines. SAE International Journal of Advances and Current Practices in Mobility. 2(2). 1032–1040. 4 indexed citations

Morihara, Toru, Ryo Furukawa, Yoshikazu Kida, et al.. (2016). Arthroscopic decompression with indigo carmine for treating paralabral cysts in the shoulder. Orthopaedics & Traumatology Surgery & Research. 102(8). 1109–1111. 1 indexed citations

Honda, Hirokazu, Toru Morihara, Yuji Arai, et al.. (2015). Clinical application of radial magnetic resonance imaging for evaluation of rotator cuff tear. Orthopaedics & Traumatology Surgery & Research. 101(6). 715–719. 13 indexed citations

10.

Miyazaki, Daisuke, et al.. (2015). Metamerism-based shading illusion. 255–258. 1 indexed citations

11.

Miyazaki, Daisuke, et al.. (2013). High Density Shapes Using Photometric Stereo and Laser Range Sensor under Unknown Light-Source Direction. Machine Vision and Applications. 125–128.

12.

Kawasaki, Hiroshi, et al.. (2013). Calibration of the Projector with Fixed Pattern and Large Distortion Lens in a Structured Light System. 222–225. 2 indexed citations

13.

Furukawa, Ryo, et al.. (2013). Marker-less facial motion capture based on the parts recognition. Digital Library (University of West Bohemia). 21(2). 137–144.

14.

Kawasaki, Hiroshi, et al.. (2013). Exemplar based texture recovery technique for active one shot scan. 331–334.

15.

Miyazaki, Masaki, et al.. (2012). Non-contact respiration measurement using structured light 3-D sensor. Society of Instrument and Control Engineers of Japan. 614–618. 41 indexed citations

16.

Furukawa, Ryo, et al.. (2012). Basic study on non-contact measurement of cardiac beat by using grid-based active stereo. PubMed. 2012. 2036–2039. 1 indexed citations

17.

Daribo, Ismaël, Ryo Furukawa, Ryusuke Sagawa, et al.. (2011). Point cloud compression for grid-pattern-based 3D scanning system. 1–4. 6 indexed citations

18.

Furukawa, Ryo, et al.. (2008). . The Journal of The Institute of Image Information and Television Engineers. 62(12). 1964–1968. 5 indexed citations

19.

Furukawa, Ryo, et al.. (2006). Sampling and Modeling of Shape and Reflectance of 3-D Objects. The Journal of The Institute of Image Information and Television Engineers. 60(4). 545–552. 1 indexed citations

20.

Furukawa, Ryo, Hiroshi Kawasaki, Katsushi Ikeuchi, & Masao Sakauchi. (2002). Appearance based object modeling using texture database: acquisition, compression and rendering. 257–266. 65 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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