Yukie Sano

47 total papers · 547 total citations
22 papers, 309 citations indexed

About

Yukie Sano is a scholar working on Statistical and Nonlinear Physics, Sociology and Political Science and Artificial Intelligence. According to data from OpenAlex, Yukie Sano has authored 22 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Statistical and Nonlinear Physics, 9 papers in Sociology and Political Science and 7 papers in Artificial Intelligence. Recurrent topics in Yukie Sano's work include Complex Network Analysis Techniques (14 papers), Opinion Dynamics and Social Influence (9 papers) and Misinformation and Its Impacts (7 papers). Yukie Sano is often cited by papers focused on Complex Network Analysis Techniques (14 papers), Opinion Dynamics and Social Influence (9 papers) and Misinformation and Its Impacts (7 papers). Yukie Sano collaborates with scholars based in Japan, Israel and United States. Yukie Sano's co-authors include Misako Takayasu, Hideki Takayasu, Kenta Yamada, Kazuya Sato, Shlomo Havlin, Jichang Zhao, Daqing Li, Junjie Wu, Orr Levy and Naoki Masuda and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Yukie Sano

20 papers receiving 298 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yukie Sano 199 124 66 64 62 22 309
Florian Lemmerich 101 0.5× 63 0.5× 89 1.3× 91 1.4× 140 2.3× 41 351
Marian-Andrei Rizoiu 109 0.5× 57 0.5× 50 0.8× 45 0.7× 102 1.6× 35 298
Jiang Zhu 125 0.6× 202 1.6× 37 0.6× 49 0.8× 73 1.2× 26 357
Tsai-Ching Lu 49 0.2× 74 0.6× 44 0.7× 26 0.4× 166 2.7× 36 303
Aparup Khatua 130 0.7× 54 0.4× 65 1.0× 67 1.0× 215 3.5× 23 357
Apalak Khatua 110 0.6× 49 0.4× 60 0.9× 48 0.8× 188 3.0× 18 358
Keith Burghardt 137 0.7× 91 0.7× 41 0.6× 77 1.2× 92 1.5× 41 348
Chengcheng Shao 168 0.8× 57 0.5× 78 1.2× 61 1.0× 59 1.0× 14 252
Martin Chorley 107 0.5× 63 0.5× 46 0.7× 50 0.8× 38 0.6× 24 337
Kenta Yamada 94 0.5× 87 0.7× 27 0.4× 37 0.6× 29 0.5× 26 313

Countries citing papers authored by Yukie Sano

Since Specialization
Citations

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

Fields of papers citing papers by Yukie Sano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yukie Sano

This figure shows the co-authorship network connecting the top 25 collaborators of Yukie Sano. A scholar is included among the top collaborators of Yukie Sano 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 Yukie Sano. Yukie Sano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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