Yasunori Okabe

575 total citations
46 papers, 384 citations indexed

About

Yasunori Okabe is a scholar working on Statistical and Nonlinear Physics, Economics and Econometrics and Artificial Intelligence. According to data from OpenAlex, Yasunori Okabe has authored 46 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Statistical and Nonlinear Physics, 12 papers in Economics and Econometrics and 9 papers in Artificial Intelligence. Recurrent topics in Yasunori Okabe's work include Complex Systems and Time Series Analysis (12 papers), Opinion Dynamics and Social Influence (11 papers) and advanced mathematical theories (6 papers). Yasunori Okabe is often cited by papers focused on Complex Systems and Time Series Analysis (12 papers), Opinion Dynamics and Social Influence (11 papers) and advanced mathematical theories (6 papers). Yasunori Okabe collaborates with scholars based in Japan, United States and Sweden. Yasunori Okabe's co-authors include Tomoyuki Takahashi, Eiichiro Tanaka, Ken-ichiro Kosai, Toyojiro Matsuishi, Yuji Nakano, Akinobu Shimizu, Akihiko Inoue, Toshiyuki Yamane, Minoru Takeo and T. Horita and has published in prestigious journals such as PLoS ONE, Scientific Reports and Brain Research.

In The Last Decade

Yasunori Okabe

37 papers receiving 344 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yasunori Okabe Japan 12 106 96 85 69 61 46 384
Servet Martı́nez Chile 16 118 1.1× 18 0.2× 78 0.9× 196 2.8× 19 0.3× 62 764
Joanna Tyrcha Sweden 10 86 0.8× 33 0.3× 9 0.1× 82 1.2× 130 2.1× 25 363
Danuta Makowiec Poland 13 155 1.5× 219 2.3× 31 0.4× 45 0.7× 86 1.4× 72 551
Barbara Gentz Germany 10 240 2.3× 21 0.2× 17 0.2× 56 0.8× 48 0.8× 16 413
Michael Field United States 15 226 2.1× 30 0.3× 14 0.2× 89 1.3× 68 1.1× 34 530
Andrei Török United States 13 266 2.5× 44 0.5× 11 0.1× 94 1.4× 83 1.4× 32 578
Aniello Buonocore Italy 12 198 1.9× 28 0.3× 7 0.1× 161 2.3× 162 2.7× 37 504
Scott D. Pauls United States 16 48 0.5× 37 0.4× 39 0.5× 24 0.3× 45 0.7× 33 768
Enrica Pirozzi Italy 13 254 2.4× 25 0.3× 6 0.1× 163 2.4× 193 3.2× 79 586
Patricia Reynaud-Bouret France 12 49 0.5× 17 0.2× 5 0.1× 108 1.6× 60 1.0× 32 383

Countries citing papers authored by Yasunori Okabe

Since Specialization
Citations

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

Fields of papers citing papers by Yasunori Okabe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasunori Okabe

This figure shows the co-authorship network connecting the top 25 collaborators of Yasunori Okabe. A scholar is included among the top collaborators of Yasunori Okabe 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 Yasunori Okabe. Yasunori Okabe 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.
Hara, Munetsugu, Tomoyuki Takahashi, Sachiyo Igata, et al.. (2015). Disturbance of cardiac gene expression and cardiomyocyte structure predisposes Mecp2-null mice to arrhythmias. Scientific Reports. 5(1). 11204–11204. 27 indexed citations
2.
Okabe, Yasunori, et al.. (2012). Alterations of Gene Expression and Glutamate Clearance in Astrocytes Derived from an MeCP2-Null Mouse Model of Rett Syndrome. PLoS ONE. 7(4). e35354–e35354. 73 indexed citations
3.
Okabe, Yasunori, Tomoyuki Takahashi, Yoshinaka Murai, et al.. (2010). Neural development of methyl-CpG-binding protein 2 null embryonic stem cells: A system for studying Rett syndrome. Brain Research. 1360. 17–27. 15 indexed citations
4.
Takeo, Minoru, et al.. (2006). Waveform characteristics of deep low-frequency earthquakes: time-series evolution based on the theory of the KM2O-Langevin equation. Geophysical Journal International. 165(1). 87–107. 4 indexed citations
5.
Okabe, Yasunori, et al.. (2005). On non-linear filtering problems for discrete time stochastic processes. Journal of the Mathematical Society of Japan. 57(4). 2 indexed citations
6.
Okabe, Yasunori, et al.. (2003). On the theory of KM2O-Langevin equations for non-stationary and degenerate flows. Journal of the Mathematical Society of Japan. 55(2). 6 indexed citations
7.
Okabe, Yasunori, et al.. (2000). On the theory of KM2O-Langevin equations for stationary flows (3): extension theorem. Hokkaido Mathematical Journal. 29(2). 11 indexed citations
8.
Okabe, Yasunori, et al.. (2000). On a non-linear prediction analysis for multi-dimensional stochastic processes with its applications to data analysis. Hokkaido Mathematical Journal. 29(3). 5 indexed citations
9.
Okabe, Yasunori. (1999). On the theory of KM2O-Langevin equations for stationary flows (1): characterization theorem. Journal of the Mathematical Society of Japan. 51(4). 14 indexed citations
10.
Okabe, Yasunori, et al.. (1995). Application of the theory of KM2O-Langevin equations to the non-linear prediction problem for the one-dimensional strictly stationary time series. Journal of the Mathematical Society of Japan. 47(2). 10 indexed citations
11.
12.
Okabe, Yasunori. (1993). Application of the theory of KM2O-Langevin equations to the linear prediction problem for the multi-dimensional weakly stationary time series. Journal of the Mathematical Society of Japan. 45(2). 13 indexed citations
13.
Okabe, Yasunori, et al.. (1992). Random collision model for interacting populations of two species and its strong law of large numbers. EPrints - Department of Mathematics, Hokkaido University. 167. 1–14. 1 indexed citations
14.
Okabe, Yasunori, et al.. (1992). Applications of the theory of KM2O-Langevin equations to the non-linear prediction problem for the one-dimensional strictly stationary time series. Hokkaido University Collection of Scholarly and Academic Papers (Hokkaido University). 132. 2–27. 5 indexed citations
15.
Okabe, Yasunori. (1992). A new algorithm driven from the view-point of the fluctuation-dissipation theorem in the theory of KM2O-Langevin equations. Hokkaido University Collection of Scholarly and Academic Papers (Hokkaido University). 166. 1–13. 1 indexed citations
16.
Okabe, Yasunori & Yuji Nakano. (1991). The theory of $\text{KM}_{2}\text{O}$-Langevin equations and its applications to data analysis (I): Stationary analysis. Hokkaido Mathematical Journal. 20(1). 22 indexed citations
17.
Okabe, Yasunori. (1989). On the theory of discrete KMO-Langevin equation with reflection positivity (III). Hokkaido Mathematical Journal. 18(1). 1 indexed citations
18.
Okabe, Yasunori. (1985). A generalized fluctuation-dissipation theorem for the one-dimensional diffusion process. Communications in Mathematical Physics. 98(4). 449–468. 13 indexed citations
19.
Okabe, Yasunori. (1976). On the germ fields of stationary Gaussian processes with Markovian property. Journal of the Mathematical Society of Japan. 28(1). 1 indexed citations
20.
Okabe, Yasunori. (1970). The resolution of an irregularity of boundary points in the boundary problem for Markov processes. Journal of the Mathematical Society of Japan. 22(1). 2 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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