Makoto Imamura

417 total citations
38 papers, 265 citations indexed

About

Makoto Imamura is a scholar working on Signal Processing, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Makoto Imamura has authored 38 papers receiving a total of 265 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Signal Processing, 17 papers in Artificial Intelligence and 11 papers in Biomedical Engineering. Recurrent topics in Makoto Imamura's work include Time Series Analysis and Forecasting (15 papers), Complex Systems and Time Series Analysis (8 papers) and Analog and Mixed-Signal Circuit Design (7 papers). Makoto Imamura is often cited by papers focused on Time Series Analysis and Forecasting (15 papers), Complex Systems and Time Series Analysis (8 papers) and Analog and Mixed-Signal Circuit Design (7 papers). Makoto Imamura collaborates with scholars based in Japan, United States and Thailand. Makoto Imamura's co-authors include Eamonn Keogh, Daniel Nikovski, Yan Zhu, Michael Jones, Akira Mizuno, Tsuyoshi Iizuka, Shinji Kitagami, Jun Kohno, Takuo Suganuma and Masafumi MIWA and has published in prestigious journals such as IEEE Access, IEEE Transactions on Industry Applications and IEEE Transactions on Instrumentation and Measurement.

In The Last Decade

Makoto Imamura

32 papers receiving 259 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Makoto Imamura Japan 9 152 143 66 42 31 38 265
Hussein Al-Bahadili Jordan 8 73 0.5× 39 0.3× 88 1.3× 3 0.1× 23 0.7× 29 225
Peng Tang China 8 117 0.8× 53 0.4× 72 1.1× 6 0.1× 3 0.1× 64 270
Jonathan R. Wells Australia 7 216 1.4× 74 0.5× 107 1.6× 5 0.1× 14 0.5× 16 259
Arif Jamal Malik Pakistan 9 143 0.9× 95 0.7× 171 2.6× 3 0.1× 9 0.3× 15 244
G.Y. Lazarou United States 6 46 0.3× 37 0.3× 230 3.5× 8 0.2× 10 0.3× 30 298
Ismael Gómez-Miguélez Spain 5 36 0.2× 18 0.1× 205 3.1× 17 0.4× 18 0.6× 9 328
Robin Baldwin United States 10 35 0.2× 26 0.2× 192 2.9× 3 0.1× 8 0.3× 20 286
M.B. Amin United States 12 60 0.4× 17 0.1× 36 0.5× 11 0.3× 7 0.2× 19 404
Aulia Arif Wardana Indonesia 9 91 0.6× 67 0.5× 186 2.8× 2 0.0× 15 0.5× 52 293

Countries citing papers authored by Makoto Imamura

Since Specialization
Citations

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

Fields of papers citing papers by Makoto Imamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Makoto Imamura

This figure shows the co-authorship network connecting the top 25 collaborators of Makoto Imamura. A scholar is included among the top collaborators of Makoto Imamura 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 Makoto Imamura. Makoto Imamura 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.
Imamura, Makoto, et al.. (2024). Efficient Discovery of Time Series Motifs under both Length Differences and Warping. 1188–1198. 2 indexed citations
2.
Imamura, Makoto, et al.. (2023). MERLIN++: parameter-free discovery of time series anomalies. Data Mining and Knowledge Discovery. 37(2). 670–709. 9 indexed citations
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Imamura, Makoto, et al.. (2021). Spikelet: An Adaptive Symbolic Approximation for Finding Higher-Level Structure in Time Series. 1120–1125. 2 indexed citations
8.
Imamura, Makoto, et al.. (2020). MERLIN: Parameter-Free Discovery of Arbitrary Length Anomalies in Massive Time Series Archives. 1190–1195. 59 indexed citations
9.
Imamura, Makoto, et al.. (2020). Discovery of evolving companion from trajectory data streams. Knowledge and Information Systems. 62(9). 3509–3533. 7 indexed citations
10.
Ito, Kaori, et al.. (2020). A Guidance Generation Method Based on Joint Vector Model for an Exercise Training Support System. IEEJ Transactions on Electronics Information and Systems. 140(3). 364–374. 2 indexed citations
11.
Imamura, Makoto, et al.. (2018). Efficient Discovery of Traveling Companion from Evolving Trajectory Data Stream. 448–453. 12 indexed citations
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Zhu, Yan, Makoto Imamura, Daniel Nikovski, & Eamonn Keogh. (2018). Time Series Chains: A Novel Tool for Time Series Data Mining. 5414–5418. 2 indexed citations
14.
Jones, Michael, et al.. (2016). Exemplar learning for extremely efficient anomaly detection in real-valued time series. Data Mining and Knowledge Discovery. 30(6). 1427–1454. 30 indexed citations
15.
Kitagami, Shinji, et al.. (2013). An M2M Data Analysis Service System based on Open Source Software Environment. IEEJ Transactions on Electronics Information and Systems. 133(8). 1521–1528. 4 indexed citations
16.
Imamura, Makoto, Yasuhiro Takayama, Nobuhiro Kaji, Masashi Toyoda, & Masaru Kitsuregawa. (2009). A combination of active learning and semi-supervised learning starting with positive and unlabeled examples for word sense disambiguation. 61–61. 2 indexed citations
17.
Imamura, Makoto. (2003). A 1 Ms/s 16-bit analog-to-digital converter. 6–9. 3 indexed citations
18.
Imamura, Makoto, et al.. (2003). A 30 Ms/s 12-bit analog-to-digital converter. 10–12.
19.
Imamura, Makoto, et al.. (2002). A 12 b 28-channel trimless DAC. 384–385,.
20.
Mizuno, Akira, et al.. (1991). Manipulation of single fine particle in liquid by electrical force in combination with optical pressure. IEEE Transactions on Industry Applications. 27(1). 140–146. 18 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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