Kazuhide Nakata

1.9k citations
38 papers · 994 indexed · h-index 13
Topics
Advanced Optimization Algorithms Research (18 papers)Sparse and Compressive Sensing Techniques (11 papers)Matrix Theory and Algorithms (7 papers)
Partner nations
JapanEgyptUnited States

In The Last Decade

Kazuhide Nakata

38 papers receiving 925 citations

Peers

Kazuhide Nakata
Comparison fields: 5 of 109
  • Numerical Analysis 321
  • Computational Theory and Mathematics 316
  • Atomic and Molecular Physics, and Optics 214
  • Electrical and Electronic Engineering 199
  • Computational Mechanics 181
Replace Gradimir V. Milovanović with:
Gradimir V. Milovanović Serbia
Fabio Schoen Italy
M. C. Bartholomew‐Biggs United Kingdom
B. A. Murtagh Australia
Frank Uhlig United States
Van Hien Nguyen Belgium
S. T. P. Boyd United States
Kenneth R. Jackson Canada
Vassili N. Kolokoltsov United Kingdom
Stephen Joe New Zealand
Kazuhide Nakata relative to Gradimir V. Milovanović Serbia Gradimir V. Milovanović's profile →
Citations per field
00.5×1.5×2.3×
Gradimir V. Milovanović · 1×
Citations per year

Countries citing papers authored by Kazuhide Nakata

Since Specialization
Citations

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

Fields of papers citing papers by Kazuhide Nakata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazuhide Nakata

This figure shows the co-authorship network connecting the top 25 collaborators of Kazuhide Nakata. A scholar is included among the top collaborators of Kazuhide Nakata 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 Kazuhide Nakata. Kazuhide Nakata 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
#WorkIndexed citations
1 1
2 2
3 4
4 1
5 4
6 12
7 1
8 8
9 5
10 28
11 8
12 12
13
A high-performance software package for semidefinite programs: SDPA 7
50
14 6
15 17
16 93
17 3
18 2
19 188
20 108

About Kazuhide Nakata

Kazuhide Nakata is a scholar working on Numerical Analysis, Computational Mathematics and Computational Theory and Mathematics, having authored 38 papers that have together received 994 indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (18 papers), Sparse and Compressive Sensing Techniques (11 papers) and Matrix Theory and Algorithms (7 papers). The work is most often cited by research in Numerical Analysis (321 citations), Computational Theory and Mathematics (316 citations) and Computational Mechanics (181 citations). Kazuhide Nakata has collaborated with scholars based in Japan, Egypt and United States. Frequent co-authors include Mituhiro Fukuda, Katsuki Fujisawa, Masakazu Kojima, Kazuo Murota, Maho Nakata, Masahiro Ehara, Hiroshi Nakatsuji, Amr Eltawil, Makoto Yamashita and Yuichi Takano. Their work appears in journals such as The Journal of Chemical Physics, PLoS ONE and European Journal of Operational Research.

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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