Ken Kiyono

3.1k total citations
122 papers, 2.1k citations indexed

About

Ken Kiyono is a scholar working on Cardiology and Cardiovascular Medicine, Economics and Econometrics and Cognitive Neuroscience. According to data from OpenAlex, Ken Kiyono has authored 122 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Cardiology and Cardiovascular Medicine, 41 papers in Economics and Econometrics and 24 papers in Cognitive Neuroscience. Recurrent topics in Ken Kiyono's work include Heart Rate Variability and Autonomic Control (44 papers), Complex Systems and Time Series Analysis (39 papers) and Balance, Gait, and Falls Prevention (15 papers). Ken Kiyono is often cited by papers focused on Heart Rate Variability and Autonomic Control (44 papers), Complex Systems and Time Series Analysis (39 papers) and Balance, Gait, and Falls Prevention (15 papers). Ken Kiyono collaborates with scholars based in Japan, United States and Ukraine. Ken Kiyono's co-authors include Yoshiharu Yamamoto, Zbigniew R. Struzik, Junichiro Hayano, Eiichi Watanabe, Taishin Nomura, Yasuyuki Suzuki, Антон Попов, Ivan Seleznov, Pietro Morasso and Naoko Aoyagi and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Ken Kiyono

115 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ken Kiyono Japan 29 585 551 521 301 264 122 2.1k
Ronny P. Bartsch Israel 23 640 1.1× 835 1.5× 1.2k 2.4× 382 1.3× 139 0.5× 46 2.8k
Steve Pincus United States 20 539 0.9× 1.0k 1.8× 757 1.5× 373 1.2× 116 0.4× 30 3.5k
C. L. Webber United States 14 408 0.7× 270 0.5× 480 0.9× 418 1.4× 72 0.3× 25 2.1k
András Eke Hungary 22 608 1.0× 319 0.6× 843 1.6× 194 0.6× 46 0.2× 53 2.1k
Espen A. F. Ihlen Norway 22 650 1.1× 102 0.2× 342 0.7× 264 0.9× 377 1.4× 46 1.9k
J.M. Hausdorff Israel 13 374 0.6× 262 0.5× 559 1.1× 195 0.6× 1.2k 4.7× 33 2.6k
Zbigniew R. Struzik Japan 26 913 1.6× 584 1.1× 549 1.1× 435 1.4× 30 0.1× 97 2.3k
Roberto Sassi Italy 32 301 0.5× 1.6k 2.9× 618 1.2× 108 0.4× 82 0.3× 160 3.9k
Patrick L. Purdon United States 37 209 0.4× 782 1.4× 3.8k 7.3× 135 0.4× 203 0.8× 148 6.6k
Paul E. Rapp United States 29 648 1.1× 241 0.4× 1.2k 2.4× 1.1k 3.5× 37 0.1× 85 3.4k

Countries citing papers authored by Ken Kiyono

Since Specialization
Citations

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

Fields of papers citing papers by Ken Kiyono

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ken Kiyono

This figure shows the co-authorship network connecting the top 25 collaborators of Ken Kiyono. A scholar is included among the top collaborators of Ken Kiyono 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 Ken Kiyono. Ken Kiyono 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.
Kiyono, Ken, et al.. (2025). Angular distribution of fractal temporal correlations supports adaptive responses to wobble board instability. Journal of The Royal Society Interface. 22(223). 20240664–20240664. 4 indexed citations
2.
Kiyono, Ken, et al.. (2024). Selective engagement of long-latency reflexes in postural control through wobble board training. Scientific Reports. 14(1). 31819–31819. 7 indexed citations
4.
Mangalam, Madhur, et al.. (2024). Enhanced scaling crossover detection in long-range correlated time series. SHILAP Revista de lepidopterología. 14. 100125–100125. 2 indexed citations
5.
Nose‐Ogura, Sayaka, et al.. (2024). Prediction of Low Bone Mass for Japanese Female Athletes Using Machine Learning. PubMed. 2024. 1–4.
6.
Kelty‐Stephen, Damian G., Ken Kiyono, Nicholas Stergiou, & Madhur Mangalam. (2024). Spatial variability and directional shifts in postural control in Parkinson’s disease. Clinical Parkinsonism & Related Disorders. 10. 100249–100249. 9 indexed citations
7.
Ogata, Hitomi, et al.. (2023). Energy Expenditure of Disaster Relief Operations Estimated Using a Tri-Axial Accelerometer and a Wearable Heart Rate Monitor. International Journal of Environmental Research and Public Health. 20(9). 5742–5742. 3 indexed citations
8.
Hattori, Satoshi, et al.. (2023). Running exercise and food restriction affect bone chemical properties in young female rats. PubMed. 27(2). 62–69. 1 indexed citations
9.
Arata, Yukinobu, et al.. (2022). Insulin signaling shapes fractal scaling of C. elegans behavior. Scientific Reports. 12(1). 10481–10481. 2 indexed citations
10.
Jurica, Peter, Hiroshi Kimura, Hiroaki Takagi, et al.. (2020). C. elegans episodic swimming is driven by multifractal kinetics. Scientific Reports. 10(1). 14775–14775. 7 indexed citations
11.
12.
Kiyono, Ken, et al.. (2019). Theoretical foundation of detrending methods for fluctuation analysis such as detrended fluctuation analysis and detrending moving average. Physical review. E. 99(3). 33305–33305. 43 indexed citations
13.
Leonarduzzi, Roberto, Patrice Abry, Herwig Wendt, et al.. (2016). Scattering Transform of Heart Rate Variability for the Prediction of Ischemic Stroke in Patients with Atrial Fibrillation. Open Archive Toulouse Archive Ouverte (University of Toulouse). 3 indexed citations
14.
Kiyono, Ken, et al.. (2016). Fast algorithm for scaling analysis with higher-order detrending moving average method. Physical review. E. 93(5). 53304–53304. 32 indexed citations
15.
Kiyono, Ken. (2015). Establishing a direct connection between detrended fluctuation analysis and Fourier analysis. Physical Review E. 92(4). 42925–42925. 54 indexed citations
16.
Nomura, Taishin, et al.. (2013). Modeling human postural sway using an intermittent control and hemodynamic perturbations. Mathematical Biosciences. 245(1). 86–95. 64 indexed citations
17.
Nakamura, Tôru, Ken Kiyono, Kazuhiro Yoshiuchi, et al.. (2007). Universal Scaling Law in Human Behavioral Organization. Physical Review Letters. 99(13). 138103–138103. 110 indexed citations
18.
Struzik, Zbigniew R., Ken Kiyono, & Yoshiharu Yamamoto. (2007). Multiscale Fluctuation Analysis Revisited. AIP conference proceedings. 922. 661–666. 1 indexed citations
19.
Kiyono, Ken, Junichiro Hayano, Eiichi Watanabe, Zbigniew R. Struzik, & Yoshiharu Yamamoto. (2007). Non-Gaussian heart rate as an independent predictor of mortality in patients with chronic heart failure. Heart Rhythm. 5(2). 261–268. 44 indexed citations
20.
Yamamoto, Yoshiharu, Ken Kiyono, & Zbigniew R. Struzik. (2004). Measurement, analysis, and interpretation of long-term heart rate variability. Society of Instrument and Control Engineers of Japan. 3. 2598–2605. 1 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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