Akihiro Sato

1.9k citations
101 papers · 1.2k indexed · h-index 15
Topics
Complex Systems and Time Series Analysis (21 papers)Nonlinear Dynamics and Pattern Formation (11 papers)Financial Risk and Volatility Modeling (9 papers)

In The Last Decade

Akihiro Sato

92 papers receiving 1.2k citations

Peers

Akihiro Sato
Comparison fields: 5 of 142
  • Economics and Econometrics 270
  • Surgery 248
  • Pulmonary and Respiratory Medicine 235
  • Statistical and Nonlinear Physics 190
  • Hepatology 163
Replace Gurinder S. Atwal with:
Gurinder S. Atwal United States
Adeline Samson France
Xuming Wang China
Michael Brockmann Germany
Carlo Bianca Italy
Z. Zhang China
Michael Caruana Australia
Takaya Miyano Japan
Carl J. G. Evertsz Germany
Wei Tan United States
Akihiro Sato relative to Gurinder S. Atwal United States Gurinder S. Atwal's profile →
Citations per field
00.5×9.3×
Gurinder S. Atwal · 1×
Citations per year

Countries citing papers authored by Akihiro Sato

Since Specialization
Citations

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

Fields of papers citing papers by Akihiro Sato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akihiro Sato

This figure shows the co-authorship network connecting the top 25 collaborators of Akihiro Sato. A scholar is included among the top collaborators of Akihiro Sato 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 Akihiro Sato. Akihiro Sato 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
#WorkIndexed citations
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2 0
3 2
4 1
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6 1
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8 5
9 7
10 17
11 4
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14 42
15 1
16
Preface(Proceedings of the YITP Workshop on Econophysics,Econophysics 2011-The Hitchhiker's Guide to the Economy-)
0
17 3
18 224
19 6
20 59

About Akihiro Sato

Akihiro Sato is a scholar working on Statistical and Nonlinear Physics, Transportation and Finance, having authored 101 papers that have together received 1.2k indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (21 papers), Nonlinear Dynamics and Pattern Formation (11 papers) and Financial Risk and Volatility Modeling (9 papers). The work is most often cited by research in Hepatology (163 citations), Statistical and Nonlinear Physics (190 citations) and Finance (101 citations). Akihiro Sato has collaborated with scholars based in Japan, Poland and United Kingdom. Frequent co-authors include Hideki Takayasu, Misako Takayasu, Norio Hayashi, Akinori Kasahara, Tetsuo Takehara, Yoshikazu Kagami, Satoshi Ishikura, Hoichi Kato, Hideaki Yamana and Harushi Udagawa. Their work appears in journals such as Physical Review Letters, Journal of Biological Chemistry and Journal of Clinical Oncology.

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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