Mi-Ho Giga

695 total citations
9 papers, 303 citations indexed

About

Mi-Ho Giga is a scholar working on Computational Theory and Mathematics, Applied Mathematics and Mathematical Physics. According to data from OpenAlex, Mi-Ho Giga has authored 9 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computational Theory and Mathematics, 7 papers in Applied Mathematics and 2 papers in Mathematical Physics. Recurrent topics in Mi-Ho Giga's work include Advanced Mathematical Modeling in Engineering (8 papers), Nonlinear Partial Differential Equations (6 papers) and Geometric Analysis and Curvature Flows (4 papers). Mi-Ho Giga is often cited by papers focused on Advanced Mathematical Modeling in Engineering (8 papers), Nonlinear Partial Differential Equations (6 papers) and Geometric Analysis and Curvature Flows (4 papers). Mi-Ho Giga collaborates with scholars based in Japan and Germany. Mi-Ho Giga's co-authors include Yoshikazu Giga, Jürgen Saal, Hidekata Hontani and Ryo Kobayashi and has published in prestigious journals such as Archive for Rational Mechanics and Analysis, SIAM Journal on Mathematical Analysis and Journal de Mathématiques Pures et Appliquées.

In The Last Decade

Mi-Ho Giga

8 papers receiving 270 citations

Peers

Mi-Ho Giga
Comparison fields: 5 of 51
  • Applied Mathematics 170
  • Computational Theory and Mathematics 123
  • Mathematical Physics 96
  • Computational Mechanics 47
  • Statistical and Nonlinear Physics 40
Replace Norbert Ortner with:
Norbert Ortner Austria
Nicolas Dirr United Kingdom
Jürgen Saal Germany
Daniel Faraco Spain
Shuichi Jimbo Japan
Cecilia Cavaterra Italy
Maria Rosaria Lancia Italy
Bertrand Lods Italy
Nenad Antonić Croatia
Edoardo Mainini Italy
Norbert Ortner Austria View profile →
Citations per field, relative to Mi-Ho Giga
Mi-Ho Giga · 1×
Citations per year, relative to Mi-Ho Giga
Mi-Ho Giga · 1×

Countries citing papers authored by Mi-Ho Giga

Since Specialization
Citations

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

Fields of papers citing papers by Mi-Ho Giga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mi-Ho Giga. 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 Mi-Ho Giga. The network helps show where Mi-Ho Giga may publish in the future.

Co-authorship network of co-authors of Mi-Ho Giga

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

All Works

9 of 9 papers shown
# Work Indexed citations
1 1
2 4
3 0
4 7
5 30
6 173
7 12
8 28
9 48

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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2026