Tetsuya Iida

65 total papers · 801 total citations
38 papers, 589 citations indexed

About

Tetsuya Iida is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Computer Networks and Communications. According to data from OpenAlex, Tetsuya Iida has authored 38 papers receiving a total of 589 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Electrical and Electronic Engineering, 16 papers in Biomedical Engineering and 6 papers in Computer Networks and Communications. Recurrent topics in Tetsuya Iida's work include Advancements in Photolithography Techniques (11 papers), CCD and CMOS Imaging Sensors (10 papers) and Integrated Circuits and Semiconductor Failure Analysis (7 papers). Tetsuya Iida is often cited by papers focused on Advancements in Photolithography Techniques (11 papers), CCD and CMOS Imaging Sensors (10 papers) and Integrated Circuits and Semiconductor Failure Analysis (7 papers). Tetsuya Iida collaborates with scholars based in Japan, United States and Taiwan. Tetsuya Iida's co-authors include Shoji Kawahito, Keigo Isobe, Takashi Watanabe, Keita Yasutomi, Min-Woong Seo, Taishi Takasawa, Hiroaki Kitahara, Sungho Suh, Shinya Itoh and Hiroshi Shimamoto and has published in prestigious journals such as IEEE Journal of Solid-State Circuits, IEEE Transactions on Electron Devices and Japanese Journal of Applied Physics.

In The Last Decade

Tetsuya Iida

35 papers receiving 552 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Tetsuya Iida	499	237	109	100	87	38	589
Min-Woong Seo	413 0.8×	204 0.9×	104 1.0×	104 1.0×	34 0.4×	48	614
Seunghyun Lim	632 1.3×	295 1.2×	137 1.3×	94 0.9×	33 0.4×	39	684
Norifumi Egami	510 1.0×	109 0.5×	41 0.4×	49 0.5×	172 2.0×	57	605
Igor Brouk	493 1.0×	176 0.7×	21 0.2×	42 0.4×	23 0.3×	43	604
Jan Bogaerts	515 1.0×	56 0.2×	133 1.2×	213 2.1×	24 0.3×	28	599
Mitsuru Kikuchi	376 0.8×	120 0.5×	97 0.9×	85 0.8×	271 3.1×	30	685
Magali Estribeau	566 1.1×	65 0.3×	63 0.6×	235 2.4×	15 0.2×	48	692
Min Xie	395 0.8×	146 0.6×	43 0.4×	37 0.4×	205 2.4×	35	569
Kai Zang	402 0.8×	198 0.8×	10 0.1×	31 0.3×	110 1.3×	40	675
Vyshnavi Suntharalingam	498 1.0×	67 0.3×	22 0.2×	30 0.3×	35 0.4×	44	563

Countries citing papers authored by Tetsuya Iida

Since Specialization

Citations

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

Fields of papers citing papers by Tetsuya Iida

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tetsuya Iida

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

All Works

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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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