T. Yagi

3.5k total citations
266 papers, 2.5k citations indexed

About

T. Yagi is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, T. Yagi has authored 266 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 161 papers in Electrical and Electronic Engineering, 65 papers in Cellular and Molecular Neuroscience and 55 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in T. Yagi's work include Neuroscience and Neural Engineering (52 papers), Semiconductor Lasers and Optical Devices (52 papers) and CCD and CMOS Imaging Sensors (51 papers). T. Yagi is often cited by papers focused on Neuroscience and Neural Engineering (52 papers), Semiconductor Lasers and Optical Devices (52 papers) and CCD and CMOS Imaging Sensors (51 papers). T. Yagi collaborates with scholars based in Japan, United Kingdom and Germany. T. Yagi's co-authors include Seiji Kameda, Masashi Yamaguchi, Yue Kai, S. Kinoshita, Yuki Hayashida, Kazuhiro Shimonomura, Shu Namiki, Mitsuru Itoh, Masaki Takesada and Masateru Tadakuma and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Journal of Geophysical Research Atmospheres.

In The Last Decade

T. Yagi

247 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
T. Yagi Japan	25	1.2k	613	570	540	437	266	2.5k
T. Yagi Japan	27	327 0.3×	269 0.4×	1.3k 2.3×	313 0.6×	455 1.0×	202	3.1k
U. Schade Germany	30	940 0.8×	78 0.1×	650 1.1×	685 1.3×	233 0.5×	217	3.0k
Alexander Vankov Russia	21	419 0.4×	401 0.7×	130 0.2×	559 1.0×	84 0.2×	81	1.4k
Lan Luan United States	21	483 0.4×	963 1.6×	338 0.6×	311 0.6×	57 0.1×	44	1.9k
Xavi Illa Spain	25	363 0.3×	420 0.7×	352 0.6×	79 0.1×	200 0.5×	82	2.0k
P. Bergonzo France	41	1.9k 1.7×	457 0.7×	4.0k 7.0×	1.4k 2.5×	754 1.7×	240	5.7k
A. Pasquarelli Italy	23	328 0.3×	204 0.3×	516 0.9×	229 0.4×	61 0.1×	97	1.5k
Timir Datta United States	21	323 0.3×	208 0.3×	326 0.6×	206 0.4×	67 0.2×	97	1.6k
Tetsu Tanaka Japan	32	3.9k 3.4×	210 0.3×	919 1.6×	617 1.1×	86 0.2×	410	5.4k
Tobias Nöbauer Austria	15	244 0.2×	178 0.3×	933 1.6×	1.1k 2.1×	346 0.8×	19	2.0k

Countries citing papers authored by T. Yagi

Since Specialization

Citations

This map shows the geographic impact of T. Yagi'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 T. Yagi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Yagi more than expected).

Fields of papers citing papers by T. Yagi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Yagi

This figure shows the co-authorship network connecting the top 25 collaborators of T. Yagi. A scholar is included among the top collaborators of T. Yagi 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 T. Yagi. T. Yagi 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

Ishikawa, Shin-nosuke, et al.. (2022). A bench-test system of the visual prostheses utilizing retino-morphic spikes as the driver signals of intracortical microstimulation. Proceedings of International Conference on Artificial Life and Robotics. 27. 524–528. 1 indexed citations

Yasukawa, Shinsuke, et al.. (2016). Real-time object tracking based on scale-invariant features employing bio-inspired hardware. Neural Networks. 81. 29–38. 13 indexed citations

Sanada, Atsushi, Kazuo Ishii, & T. Yagi. (2010). Self-localization of omni-directional mobile robot using silicon retina based optical flow sensor. World Automation Congress. 1–6.

Shimonomura, Kazuhiro & T. Yagi. (2010). Wide Dynamic Range Silicon Retina with Photodiode Capacitance Modulation. The Journal of The Institute of Image Information and Television Engineers. 64(3). 358–364. 1 indexed citations

Osanai, Makoto, et al.. (2008). Visualization of brain activity from in vitro to in vivo. 2008. 263–268. 1 indexed citations

Shimonomura, Kazuhiro & T. Yagi. (2008). A silicon retina system for color constancy. World Automation Congress. 107(542). 1–5. 1 indexed citations

Hirano, Yoshihito, et al.. (2008). Highly Efficient Planar-Waveguide Green Laser. Conference on Lasers and Electro-Optics. 5 indexed citations

Osanai, Makoto, Naohiro Yamada, Yuichi Yaguchi, & T. Yagi. (2008). Spontaneous Ca2+ transients in neurons and glial cells in the striatum. 56–56. 1 indexed citations

Kameda, Seiji, et al.. (2007). Real Time Parallel Image Processing Using a Silicon Retina and FPGA Circuits. The Journal of The Institute of Image Information and Television Engineers. 61(3). 316–324.

10.

Sakaguchi, Hirokazu, Takashi Fujikado, Hiroyuki Kanda, et al.. (2004). Transretinal Electrical Stimulation with a Suprachoroidal Multichannel Electrode in Rabbit Eyes. Japanese Journal of Ophthalmology. 48(3). 256–261. 65 indexed citations

11.

Kumano, Naomi, K. Mukasa, Ryuichi Sugizaki, et al.. (2002). Dispersion slope controlled HNL-DSF with high γ of 25 W -1 km -1 and band conversion experiment using this fiber. European Conference on Optical Communication. 5. 1–2. 25 indexed citations

12.

Yoshida, Y., et al.. (2002). New High Power Ridge-Waveguide 980 nm Laser Diodes With Window Structure. European Conference on Optical Communication. 3. 1–2. 2 indexed citations

13.

Kumano, Naomi, K. Mukasa, Satoshi Matsushita, & T. Yagi. (2002). Zero Dispersion-Slope NZ-DSF with Ultra Wide Bandwidth over 300nm. European Conference on Optical Communication. 5. 1–2. 7 indexed citations

14.

Yagi, T., et al.. (2002). AlGaAs High-Power Laser Diode with Window-Mirror Structure by Intermixing of Multi-Quantum Well for CD-R. IEICE Transactions on Electronics. 85(1). 52–57. 2 indexed citations

15.

Kameda, Seiji, et al.. (1998). An One-Dimensional analog Vision Chip System with Light-Adaptive Gain Control. International Conference on Neural Information Processing. 578–581. 4 indexed citations

16.

Yagi, T., et al.. (1995). On the function of the retinal bipolar cell in early vision.. The European Symposium on Artificial Neural Networks. 1 indexed citations

17.

Matsumoto, Takashi, Haruo Kobayashi, & T. Yagi. (1993). Vision Chip [I] : Analog Image-Processing Neuro Chip. The Journal of Institute of Electronics, Information and Communication Engineers. 76(7). 783–791. 2 indexed citations

18.

Nakanishi, Hiroshi, T. Yagi, Kazuo Arakawa, Naohiro Hayakawa, & Sueo Machi. (1984). Radiation effect of aromatic lubricating oils. 26(8). 718–724. 2 indexed citations

19.

Nakanishi, Hiroshi, T. Yagi, Kazuo Arakawa, Naohiro Hayakawa, & Sueo Machi. (1983). Radiation effect of commercial lubricating oils. 25(3). 217–224.

20.

Yagi, T., et al.. (1965). Adsorption Kinetics of Various Aromatic Hydrocarbons on Silica Gels. The Journal of the Society of Chemical Industry Japan. 68(2). 335–338. 7 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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