Takashi Shimamoto

8.6k total citations
259 papers, 6.8k citations indexed

About

Takashi Shimamoto is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Takashi Shimamoto has authored 259 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Computer Vision and Pattern Recognition, 46 papers in Signal Processing and 45 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Takashi Shimamoto's work include Video Coding and Compression Technologies (45 papers), Advanced Vision and Imaging (30 papers) and Image and Video Quality Assessment (27 papers). Takashi Shimamoto is often cited by papers focused on Video Coding and Compression Technologies (45 papers), Advanced Vision and Imaging (30 papers) and Image and Video Quality Assessment (27 papers). Takashi Shimamoto collaborates with scholars based in Japan, United States and China. Takashi Shimamoto's co-authors include Hiroyasu Iso, Shinichi Sato, Akihiko Kitamura, Yoshio Komachi, Hironori Imano, Takeshi Tanigawa, Kazumasa Yamagishi, Masahiko Kiyama, Minoru Iida and Tetsuya Ohira and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and Journal of Clinical Oncology.

In The Last Decade

Takashi Shimamoto

244 papers receiving 6.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Takashi Shimamoto Japan 45 2.0k 1.2k 1.1k 1.0k 963 259 6.8k
Akira Sekikawa Japan 39 1.5k 0.7× 851 0.7× 1.6k 1.4× 759 0.8× 1.0k 1.0× 176 6.2k
Yoshihiro Kokubo Japan 50 2.3k 1.1× 1.2k 1.0× 1.6k 1.5× 1.2k 1.2× 1.2k 1.3× 247 8.2k
Yasuyuki Nakamura Japan 42 3.1k 1.5× 924 0.8× 1.3k 1.1× 1.2k 1.2× 500 0.5× 253 6.5k
Arturo Pujia Italy 37 1.8k 0.9× 1.2k 1.0× 1.5k 1.3× 515 0.5× 744 0.8× 172 5.9k
Tsuyoshi Watanabe Japan 43 1.3k 0.6× 896 0.7× 1.3k 1.1× 449 0.4× 1.2k 1.2× 222 6.5k
Yuan‐Teh Lee Taiwan 45 2.4k 1.2× 1.2k 1.0× 928 0.8× 419 0.4× 693 0.7× 199 6.3k
Rutai Hui China 49 3.2k 1.6× 1.0k 0.8× 1.1k 1.0× 611 0.6× 2.2k 2.3× 325 8.9k
Wolfgang Lieb Germany 44 1.9k 0.9× 1.1k 0.9× 698 0.6× 594 0.6× 1.4k 1.5× 193 6.3k
Jacqueline C.M. Witteman Netherlands 54 4.2k 2.1× 1.2k 1.0× 2.0k 1.8× 1.1k 1.1× 1.4k 1.5× 92 12.7k
Paul M. Ridker United States 9 2.1k 1.0× 2.4k 2.0× 1.2k 1.1× 498 0.5× 766 0.8× 11 6.6k

Countries citing papers authored by Takashi Shimamoto

Since Specialization
Citations

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

Fields of papers citing papers by Takashi Shimamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takashi Shimamoto

This figure shows the co-authorship network connecting the top 25 collaborators of Takashi Shimamoto. A scholar is included among the top collaborators of Takashi Shimamoto 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 Takashi Shimamoto. Takashi Shimamoto 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
2.
Song, Tian, et al.. (2022). Domain Adaptation through Photorealistic Enhanced Images for Semantic Segmentation. Mathematical Problems in Engineering. 2022. 1–8. 2 indexed citations
3.
Song, Tian, et al.. (2019). DC Coefficient Estimation of Intra-Predicted Residuals in HEVC. IEICE Technical Report; IEICE Tech. Rep.. 118(501). 159–163. 1 indexed citations
4.
Horinouchi, Hidehito, Naoyuki Nogami, Hideo Saka, et al.. (2019). Safety/Tolerability of 1L Pembrolizumab+Chemotherapy in Japanese Patients with Metastatic Nonsquamous NSCLC: KEYNOTE-189. 3–9.
5.
Satouchi, Miyako, Katsuyuki Hotta, Kaname Nosaki, et al.. (2017). Japan subset of Phase III study KEYNOTE-024: Pembrolizumab for PD-L1 TPS > =50%, treatment-naïve NSCLC. Annals of Oncology. 28. ix73–ix73. 2 indexed citations
6.
Katayama, Takafumi, et al.. (2016). Adaptive Mode Selection for Low Complexity Enhancement Layer Encoding of SHVC. 355–358. 1 indexed citations
7.
Jiang, Xiantao, et al.. (2015). Efficient Prediction Motion Vector Candidate Selection Algorithm for HEVC. ITC-CSCC :International Technical Conference on Circuits Systems, Computers and Communications. 402–403. 1 indexed citations
8.
Song, Tian, et al.. (2010). Low complexity inter-layer motion estimation algorithm for H.264/SVC. World Automation Congress. 1–6.
9.
Song, Tian, Yoshinori Hayashi, & Takashi Shimamoto. (2009). FAST DEBLOCKING FILTER IMPLEMENTATION METHOD FOR H.264/AVC. International journal of innovative computing, information & control. 5(11). 3983–3993.
10.
Kato, Takahiro A., et al.. (2009). An Efficient Architecture for Spiral-Type Motion Estimation for H.264/AVC. ITC-CSCC :International Technical Conference on Circuits Systems, Computers and Communications. 314–317. 2 indexed citations
11.
Saito, Kosuke, et al.. (2006). A-6-8 Variable Search Range Motion Estimation Algorithm for H.264/AVC. 2006. 127. 1 indexed citations
12.
Cui, Renzhe, Hiroyasu Iso, Jingbo Pi, et al.. (2004). Urinary cyclic GMP excretion and blood pressure levels in a general population. Atherosclerosis. 172(1). 161–166. 6 indexed citations
13.
Ohira, Tetsuya, Hiroyasu Iso, Takeshi Tanigawa, et al.. (2000). Validity and Reliability of the Japanese Version of the Selected Anger Expression Scale and Age, Sex, Occupation and Regional Differences in Anger Expression Among Japanese. Journal of Epidemiology. 10(2). 118–123. 8 indexed citations
14.
Liu, Xingzhao, et al.. (1997). A Genetic Approach for Maximum Independent Set Problems. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 80(3). 551–556. 7 indexed citations
15.
Shimamoto, Takashi. (1996). Research activities of epidemiology in Japan. Cardiovascular disease epidemiology of cerebrovascular disease: Stroke epidemic in Japan. Journal of Epidemiology. 6. 1 indexed citations
16.
Shimamoto, Takashi, et al.. (1995). [The expression pattern of transcription factors (GATA, SCL) and biological characteristics in various leukemia cells].. PubMed. 36(6). 547–51. 3 indexed citations
17.
Liu, Xingzhao, et al.. (1994). A Modified Genetic Channel Router. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 2076–2084. 1 indexed citations
18.
Shimamoto, Takashi, et al.. (1993). Restrictive Channel Routing with Evolution Programs. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 1738–1745. 5 indexed citations
19.
Shimamoto, Takashi, et al.. (1992). A distributed routing system for multilayer SOG. European Design Automation Conference. 298–303. 2 indexed citations
20.
Shimamoto, Takashi, et al.. (1989). Neural Computation for Channel Routing Using Hopfield Neural Network Model. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 1360–1366. 5 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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