Mituhiro Fukuda

46 total papers · 1.6k total citations
21 papers, 1.1k citations indexed

About

Mituhiro Fukuda is a scholar working on Numerical Analysis, Computational Mechanics and Computational Theory and Mathematics. According to data from OpenAlex, Mituhiro Fukuda has authored 21 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Numerical Analysis, 9 papers in Computational Mechanics and 9 papers in Computational Theory and Mathematics. Recurrent topics in Mituhiro Fukuda's work include Advanced Optimization Algorithms Research (13 papers), Sparse and Compressive Sensing Techniques (9 papers) and Advanced Chemical Physics Studies (4 papers). Mituhiro Fukuda is often cited by papers focused on Advanced Optimization Algorithms Research (13 papers), Sparse and Compressive Sensing Techniques (9 papers) and Advanced Chemical Physics Studies (4 papers). Mituhiro Fukuda collaborates with scholars based in Japan, United States and Brazil. Mituhiro Fukuda's co-authors include Kazuhide Nakata, Masakazu Kojima, Katsuki Fujisawa, Kazuo Murota, Maho Nakata, J. K. Percus, Zhengji Zhao, Bastiaan J. Braams, Michael L. Overton and Hiroshi Nakatsuji and has published in prestigious journals such as The Journal of Chemical Physics, Behavioural Brain Research and Mathematical Programming.

In The Last Decade

Mituhiro Fukuda

21 papers receiving 1000 citations

Author Peers

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

Author Last Decade Papers Cites
Mituhiro Fukuda 463 293 285 203 149 21 1.1k
Yunkai Zhou 419 0.9× 142 0.5× 270 0.9× 138 0.7× 101 0.7× 41 1.0k
Makoto Yamashita 551 1.2× 238 0.8× 215 0.8× 90 0.4× 103 0.7× 77 1.0k
E.H. Bareiss 353 0.8× 65 0.2× 318 1.1× 120 0.6× 47 0.3× 23 962
Joachim Dahl 352 0.8× 73 0.2× 69 0.2× 135 0.7× 160 1.1× 55 993
Hidetosi Takahasi 358 0.8× 137 0.5× 89 0.3× 199 1.0× 65 0.4× 14 953
A. P. Robertson 99 0.2× 466 1.6× 393 1.4× 59 0.3× 143 1.0× 14 1.3k
Maho Nakata 502 1.1× 103 0.4× 285 1.0× 150 0.7× 17 0.1× 46 1.0k
Tsutomu Ikegami 463 1.0× 105 0.4× 186 0.7× 318 1.6× 53 0.4× 68 1.2k
Thomas Huckle 631 1.4× 178 0.6× 859 3.0× 151 0.7× 448 3.0× 62 1.2k
A. I. Markushevich 130 0.3× 150 0.5× 210 0.7× 77 0.4× 68 0.5× 15 1.3k

Countries citing papers authored by Mituhiro Fukuda

Since Specialization
Citations

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

Fields of papers citing papers by Mituhiro Fukuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mituhiro Fukuda

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