Maiko Shigeno

476 total citations
47 papers, 274 citations indexed

About

Maiko Shigeno is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Maiko Shigeno has authored 47 papers receiving a total of 274 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computational Theory and Mathematics, 12 papers in Computer Networks and Communications and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Maiko Shigeno's work include Complexity and Algorithms in Graphs (13 papers), Optimization and Search Problems (8 papers) and Optical Network Technologies (7 papers). Maiko Shigeno is often cited by papers focused on Complexity and Algorithms in Graphs (13 papers), Optimization and Search Problems (8 papers) and Optical Network Technologies (7 papers). Maiko Shigeno collaborates with scholars based in Japan, Canada and China. Maiko Shigeno's co-authors include Satoru Iwata, S. Thomas McCormick, Tomomi Matsui, Akiyoshi Shioura, Atsuko Takefusa, Akiko Yoshise, Satoshi Takahashi, Y. Yamamoto, Hidemoto Nakada and Mingcong Yang and has published in prestigious journals such as IEEE Access, Sensors and Journal of Lightwave Technology.

In The Last Decade

Maiko Shigeno

37 papers receiving 258 citations

Peers

Maiko Shigeno
Comparison fields: 5 of 44
  • Computer Networks and Communications 92
  • Computational Theory and Mathematics 82
  • Electrical and Electronic Engineering 60
  • Artificial Intelligence 36
  • Management Science and Operations Research 35
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Citations per field, relative to Maiko Shigeno
Maiko Shigeno · 1×
Citations per year, relative to Maiko Shigeno
Maiko Shigeno · 1×

Countries citing papers authored by Maiko Shigeno

Since Specialization
Citations

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

Fields of papers citing papers by Maiko Shigeno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maiko Shigeno

This figure shows the co-authorship network connecting the top 25 collaborators of Maiko Shigeno. A scholar is included among the top collaborators of Maiko Shigeno 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 Maiko Shigeno. Maiko Shigeno 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
# Work Indexed citations
1 1
2 0
3 0
4 1
5 3
6 9
7 4
8 0
9 3
10
4A2 APPLICATIONS OF POPULAR MATCHINGS ON CAMPUS(Technical Session 4A: Combinatorial Optimization 2) :
0
11 3
12 12
13 19
14 9
15 4
16
Conjugate Scaling Technique for Fenchel - type Duality in Discrete Convex Optimization
2
17 1
18 13
19 20
20 4

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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