Tomomichi Suzuki

533 total citations
31 papers, 379 citations indexed

About

Tomomichi Suzuki is a scholar working on Industrial and Manufacturing Engineering, Surgery and Marketing. According to data from OpenAlex, Tomomichi Suzuki has authored 31 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Industrial and Manufacturing Engineering, 6 papers in Surgery and 5 papers in Marketing. Recurrent topics in Tomomichi Suzuki's work include Consumer Market Behavior and Pricing (5 papers), Coronary Interventions and Diagnostics (5 papers) and Cardiac Imaging and Diagnostics (4 papers). Tomomichi Suzuki is often cited by papers focused on Consumer Market Behavior and Pricing (5 papers), Coronary Interventions and Diagnostics (5 papers) and Cardiac Imaging and Diagnostics (4 papers). Tomomichi Suzuki collaborates with scholars based in Japan and United States. Tomomichi Suzuki's co-authors include Mariko Ehara, Osamu Katoh, Takahiko Suzuki, Koyo Sato, Nobuyoshi Tanaka, Kenya Nasu, Mitsuyasu Terashima, Akira Murata, Masato Kawai and Etsuo Tsuchikane and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and The American Journal of Cardiology.

In The Last Decade

Tomomichi Suzuki

26 papers receiving 364 citations

Peers

Tomomichi Suzuki
Christopher Dailing United States
Ermanno Capuano Netherlands
Yan Yi China
Dominic Kennedy Australia
Rajesh Venkataraman United States
Christopher Dailing United States
Tomomichi Suzuki
Citations per year, relative to Tomomichi Suzuki Tomomichi Suzuki (= 1×) peers Christopher Dailing

Countries citing papers authored by Tomomichi Suzuki

Since Specialization
Citations

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

Fields of papers citing papers by Tomomichi Suzuki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomomichi Suzuki

This figure shows the co-authorship network connecting the top 25 collaborators of Tomomichi Suzuki. A scholar is included among the top collaborators of Tomomichi Suzuki 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 Tomomichi Suzuki. Tomomichi Suzuki 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.
Suzuki, Tomomichi, et al.. (2023). Using Image Data for Machine Learning-Based Defect Detection. 9(2). 74–82.
2.
Suzuki, Tomomichi, et al.. (2021). Imputation Method for Missing Values Considering Temperature Fluctuations with High Locality. 7(1). 1–9. 1 indexed citations
4.
Suzuki, Tomomichi, et al.. (2020). Analysis of measurement precision experiment with categorical variables. 1 indexed citations
5.
Ishigaki, Aya, et al.. (2019). Data Analysis of Shipment for Textiles and Apparel from Logistics Warehouse to Store Considering Disposal Risk. Sustainability. 11(1). 259–259. 6 indexed citations
10.
Yada, Katsutoshi, et al.. (2016). Clustering of Customer Shopping Paths in Japanese Grocery Stores. Procedia Computer Science. 96. 1314–1322. 9 indexed citations
11.
Suzuki, Tomomichi, et al.. (2015). Precision evaluation for non-quantitative measurements ∼ binary and ordinal categorical cases ∼.
12.
Suzuki, Tomomichi, et al.. (2014). Efficient parameter selection for Support Vector Regression using orthogonal array. 2. 2256–2261. 4 indexed citations
13.
Suzuki, Tomomichi, et al.. (2013). Application of q charts for short-run autocorrelated data. International journal of innovative computing, information & control. 9(9). 3667–3676. 3 indexed citations
14.
Mori, Kazutaka, Satoko Hayakawa, Hitoshi Yamaguchi, et al.. (2012). Simultaneous stent obstruction of triple vessels with very late stent thrombosis after implantation of sirolimus-eluting stents. Journal of Cardiology Cases. 5(2). e87–e91.
15.
Suzuki, Tomomichi, et al.. (2012). Control characteristics: a case study on semiconductor manufacturing. Asian Journal on Quality. 13(1). 37–52. 1 indexed citations
16.
Suzuki, Tomomichi, et al.. (2011). Detection of Outliers in Meteorological Observation Data. 18(5). 393–405. 4 indexed citations
17.
Kawaguchi, Katsuhiro, et al.. (2002). Reduction of early elastic recoil by cutting balloon angioplasty as compared to conventional balloon angioplasty.. PubMed. 14(9). 515–9. 16 indexed citations
18.
Kawaguchi, Katsuhiro, et al.. (2002). Cutting balloon angioplasty in small coronary vessels: comparison with conventional balloon angioplasty and stent. Journal of the American College of Cardiology. 39. 7–7. 1 indexed citations
19.
Suzuki, Tomomichi, Kenji Okumura, Takahito Sone, et al.. (2002). The Glu298Asp polymorphism in endothelial nitric oxide synthase gene is associated with coronary in-stent restenosis. International Journal of Cardiology. 86(1). 71–76. 30 indexed citations
20.
Kondo, Junichiro, Hideyuki Tsuboi, Hiroaki Mukawa, et al.. (2001). Effect of quinapril on intimal hyperplasia after coronary stenting as assessed by intravascular ultrasound. The American Journal of Cardiology. 87(4). 443–445. 17 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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