Naoki Shioji

76 total papers · 1.3k total citations
44 papers, 888 citations indexed

About

Naoki Shioji is a scholar working on Applied Mathematics, Computational Theory and Mathematics and Geometry and Topology. According to data from OpenAlex, Naoki Shioji has authored 44 papers receiving a total of 888 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Applied Mathematics, 32 papers in Computational Theory and Mathematics and 14 papers in Geometry and Topology. Recurrent topics in Naoki Shioji's work include Nonlinear Partial Differential Equations (23 papers), Nonlinear Differential Equations Analysis (22 papers) and Advanced Mathematical Modeling in Engineering (18 papers). Naoki Shioji is often cited by papers focused on Nonlinear Partial Differential Equations (23 papers), Nonlinear Differential Equations Analysis (22 papers) and Advanced Mathematical Modeling in Engineering (18 papers). Naoki Shioji collaborates with scholars based in Japan, Italy and Poland. Naoki Shioji's co-authors include Wataru Takahashi, Norimichi Hirano, Claudio Saccon, Kohtaro Watanabe, Tomonari Suzuki, Wataru Takahashi, Anthony To‐Ming Lau, Kazuyuki Tanaka, Kazuhiro Kurata and Tetsu Shimomura and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Mathematical Analysis and Applications and American Mathematical Monthly.

In The Last Decade

Naoki Shioji

40 papers receiving 783 citations

Author Peers

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

Author Last Decade Papers Cites
Naoki Shioji 762 498 374 364 141 44 888
R. Pini 731 1.0× 305 0.6× 342 0.9× 357 1.0× 38 0.3× 51 883
E Tarafdar 652 0.9× 414 0.8× 160 0.4× 187 0.5× 75 0.5× 58 827
Yeol Je Cho 549 0.7× 491 1.0× 262 0.7× 194 0.5× 64 0.5× 68 877
Jean-Bernard Baillon 529 0.7× 261 0.5× 270 0.7× 184 0.5× 274 1.9× 28 742
S. Z. Németh 611 0.8× 264 0.5× 356 1.0× 196 0.5× 48 0.3× 59 771
Paulo Roberto Oliveira 784 1.0× 235 0.5× 670 1.8× 112 0.3× 95 0.7× 48 984
Stephen Simons 731 1.0× 350 0.7× 294 0.8× 356 1.0× 348 2.5× 80 1.0k
Safeer Hussain Khan 701 0.9× 716 1.4× 489 1.3× 144 0.4× 55 0.4× 93 904
Edgar Asplund 506 0.7× 247 0.5× 125 0.3× 288 0.8× 325 2.3× 22 768
W. G. Dotson 743 1.0× 674 1.4× 488 1.3× 145 0.4× 86 0.6× 19 813

Countries citing papers authored by Naoki Shioji

Since Specialization
Citations

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

Fields of papers citing papers by Naoki Shioji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naoki Shioji

This figure shows the co-authorship network connecting the top 25 collaborators of Naoki Shioji. A scholar is included among the top collaborators of Naoki Shioji 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 Naoki Shioji. Naoki Shioji 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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