Masamoto Arakawa

896 total citations
44 papers, 729 citations indexed

About

Masamoto Arakawa is a scholar working on Computational Theory and Mathematics, Spectroscopy and Analytical Chemistry. According to data from OpenAlex, Masamoto Arakawa has authored 44 papers receiving a total of 729 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computational Theory and Mathematics, 16 papers in Spectroscopy and 16 papers in Analytical Chemistry. Recurrent topics in Masamoto Arakawa's work include Computational Drug Discovery Methods (25 papers), Spectroscopy and Chemometric Analyses (15 papers) and Analytical Chemistry and Chromatography (12 papers). Masamoto Arakawa is often cited by papers focused on Computational Drug Discovery Methods (25 papers), Spectroscopy and Chemometric Analyses (15 papers) and Analytical Chemistry and Chromatography (12 papers). Masamoto Arakawa collaborates with scholars based in Japan, Switzerland and Brazil. Masamoto Arakawa's co-authors include Kimito Funatsu, Hiromasa Kaneko, Kiyoshi Hasegawa, Tomoyuki Miyao, Satoshi Kawamura, Yuji Takahata, Y. Yamamoto, Takahiro Takahashi, Yoshiro Yamada and M Koyama and has published in prestigious journals such as AIChE Journal, Journal of Chemical Information and Modeling and Computers & Chemical Engineering.

In The Last Decade

Masamoto Arakawa

42 papers receiving 690 citations

Peers

Masamoto Arakawa
Comparison fields: 5 of 101
  • Analytical Chemistry 278
  • Control and Systems Engineering 276
  • Computational Theory and Mathematics 220
  • Molecular Biology 135
  • Mechanical Engineering 95
Replace Salvador García‐Muñoz with:
Salvador García‐Muñoz United States
Simeone Zomer United Kingdom
Menglong Li China
Michael Amrhein Switzerland
Koji Muteki United States
M. S. Khots Belgium
Mathias Sawall Germany
K.A. Prebble United Kingdom
François Wahl France
Howard W. Ward United States
Salvador García‐Muñoz United States View profile →
Citations per field, relative to Masamoto Arakawa
Masamoto Arakawa · 1×
Citations per year, relative to Masamoto Arakawa
Masamoto Arakawa · 1×

Countries citing papers authored by Masamoto Arakawa

Since Specialization
Citations

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

Fields of papers citing papers by Masamoto Arakawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masamoto Arakawa

This figure shows the co-authorship network connecting the top 25 collaborators of Masamoto Arakawa. A scholar is included among the top collaborators of Masamoto Arakawa 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 Masamoto Arakawa. Masamoto Arakawa 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 3
2 1
3 37
4 19
5 123
6 9
7 1
8 1
9 129
10 11
11 1
12 1
13 11
14 1
15 4
16 1
17 12
18 1
19 1
20 20

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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