Maho Nakata
- Atomic and Molecular Physics, and Optics top 5%
- Materials Chemistry
- Computational Theory and Mathematics top 2%
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Co-authors
- Tomomi ShimazakiMasahiro EharaMituhiro FukudaKatsuki FujisawaKazuhide NakataHiroshi NakatsujiMakoto YamashitaToshiyuki Maeda
- Topics
- Data Management and Algorithms (11 papers)Advanced Chemical Physics Studies (11 papers)Rough Sets and Fuzzy Logic (9 papers)
- Cited by
- Numerical AnalysisComputational Theory and MathematicsAtomic and Molecular Physics, and Optics
- Partner nations
- JapanUnited StatesPoland
In The Last Decade
Maho Nakata
45 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 89
- Atomic and Molecular Physics, and Optics 506
- Materials Chemistry 314
- Computational Theory and Mathematics 283
- Electrical and Electronic Engineering 153
- Artificial Intelligence 113
Countries citing papers authored by Maho Nakata
This map shows the geographic impact of Maho 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 Maho Nakata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maho Nakata more than expected).
Fields of papers citing papers by Maho Nakata
This network shows the impact of papers produced by Maho 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 Maho Nakata. The network helps show where Maho Nakata may publish in the future.
Co-authorship network of co-authors of Maho Nakata
This figure shows the co-authorship network connecting the top 25 collaborators of Maho Nakata. A scholar is included among the top collaborators of Maho 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 Maho Nakata. Maho Nakata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 25 | |
| 2 | OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs. | 1 |
| 3 | 56 | |
| 4 | 180 | |
| 5 | 2 | |
| 6 | 12 | |
| 7 | 16 | |
| 8 | 21 | |
| 9 | 38 | |
| 10 | A high-performance software package for semidefinite programs: SDPA 7 | 50 |
| 11 | 12 | |
| 12 | Strange Behaviors of Interior-point Methods for Solving Semidefinite Programming Problems in Polynomial Optimization | 1 |
| 13 | 8 | |
| 14 | 1 | |
| 15 | Granular reasoning using zooming in & out. Part 1. Propositional reasoning (an extended abstract) | 0 |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 71 | |
| 19 | 28 | |
| 20 | 2 |
About Maho Nakata
Maho Nakata is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Signal Processing, having authored 46 papers that have together received 1.0k indexed citations. Recurring topics across this work include Data Management and Algorithms (11 papers), Advanced Chemical Physics Studies (11 papers) and Rough Sets and Fuzzy Logic (9 papers). The work is most often cited by research in Numerical Analysis (102 citations), Computational Theory and Mathematics (283 citations) and Atomic and Molecular Physics, and Optics (506 citations). Maho Nakata has collaborated with scholars based in Japan, United States and Poland. Frequent co-authors include Tomomi Shimazaki, Masahiro Ehara, Mituhiro Fukuda, Katsuki Fujisawa, Kazuhide Nakata, Hiroshi Nakatsuji, Makoto Yamashita, Hiroshi Nakatsuji, Toshiyuki Maeda and Koji Yasuda. Their work appears in journals such as Physical Review Letters, The Journal of Chemical Physics and The Journal of Physical Chemistry C.
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.