Yuzuru Sato

1.4k citations
40 papers · 892 indexed · h-index 14

Yuzuru Sato

35 papers receiving 864 citations

Peers

Yuzuru Sato
Comparison fields: 5 of 86
  • Statistical and Nonlinear Physics 452
  • Modeling and Simulation 74
  • Economics and Econometrics 232
  • Management Science and Operations Research 91
  • Global and Planetary Change 155
Replace Conrad J. Pérez-Vicente with:
Conrad J. Pérez-Vicente Spain
Marco Patriarca Estonia
David Griffeath United States
Géza Ódor Hungary
T. J. P. Penna Brazil
Aidan Sudbury Australia
Clark Robinson United States
Yuri Kifer Israel
Henryk Gzyl Venezuela
Mauro Bologna Chile
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Citations per field
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Citations per year

Countries citing papers authored by Yuzuru Sato

Since Specialization
Citations

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

Fields of papers citing papers by Yuzuru Sato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Yuzuru Sato, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yuzuru Sato Line = papers co-authored together Yuzuru Sato links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20241
3 20233
4 20223
5 202011
6 201920
7 201914
8 20183
9 201747
10 201721
11 20140
12 20111
13 20111
14 20118
15
Special scale-invariant occupancy of phase space makes the entropy Sq additive
20054
16 200393
17
Resonance in a Stochastic Neuron Model with Delayed Interaction
19991
18 199111
19 19917
20
INFORMATION THERMODYNAMICS AND DIFFERENTIAL GEOMETRY
197910

About Yuzuru Sato

Yuzuru Sato is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Economics and Econometrics, Modeling and Simulation and Biochemistry, having authored 40 papers that have together received 892 indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (12 papers), Nonlinear Dynamics and Pattern Formation (10 papers), Advanced Thermodynamics and Statistical Mechanics (6 papers), stochastic dynamics and bifurcation (6 papers), Statistical Mechanics and Entropy (6 papers), Neural dynamics and brain function (5 papers), Chaos control and synchronization (5 papers) and Evolutionary Game Theory and Cooperation (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (452 citations), Modeling and Simulation (74 citations), Economics and Econometrics (232 citations), Management Science and Operations Research (91 citations) and Global and Planetary Change (155 citations). Yuzuru Sato has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Constantino Tsallis, Murray Gell‐Mann, James P. Crutchfield, Toru Ohira, Eizo Akiyama, J. Doyne Farmer, Davide Faranda, Nicholas R. Moloney, F. Daviaud and B. Dubrulle. Their work appears in journals such as Chaos An Interdisciplinary Journal of Nonlinear Science, Physical Review Letters, Physica D Nonlinear Phenomena, Proceedings of the National Academy of Sciences and Computer Physics Communications.

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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