H. Mutoh

24 papers receiving 425 citations

Peers

H. Mutoh
Comparison fields: 5 of 92
  • Atomic and Molecular Physics, and Optics 207
  • Sensory Systems 31
  • Computational Theory and Mathematics 84
  • Computer Networks and Communications 100
  • Electronic, Optical and Magnetic Materials 69
Replace Nobuo Yoshikawa with:
Nobuo Yoshikawa Japan
Hyungsuk Kim South Korea
Hiroshi Miki Japan
Jianming Huang China
K. Tsuchida Japan
Yu Xu China
Yen - United States
Yuanzhe Yao China
Kai Kang China
R. K. Chauhan India
H. Mutoh relative to Nobuo Yoshikawa Japan Nobuo Yoshikawa's profile →
Citations per field
00.5×1.5×
Nobuo Yoshikawa · 1×
Citations per year

Countries citing papers authored by H. Mutoh

Since Specialization
Citations

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

Fields of papers citing papers by H. Mutoh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside H. Mutoh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with H. Mutoh Line = papers co-authored together H. Mutoh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009252
2 201854
3 199419
4 199616
5 199811
6 199410
7 19979
8 19988
9 19997
10 19937
11 20197
12 19946
13 19806
14
Signal processing for high density magnetic recording
19905
15 19865
16 19985
17 19975
18 19994
19 19983
20 20083

About H. Mutoh

H. Mutoh is a scholar working on Small Animals, Signal Processing, Sensory Systems, Computational Theory and Mathematics and Gastroenterology, having authored 27 papers that have together received 450 indexed citations. Recurring topics across this work include Magnetic properties of thin films (5 papers), Helicobacter pylori-related gastroenterology studies (4 papers), Advanced Wireless Communication Techniques (4 papers), Blind Source Separation Techniques (4 papers), Veterinary medicine and infectious diseases (3 papers), Cellular Automata and Applications (3 papers), Algorithms and Data Compression (3 papers) and Nuclear Materials and Properties (2 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (207 citations), Sensory Systems (31 citations), Computational Theory and Mathematics (84 citations), Computer Networks and Communications (100 citations) and Electronic, Optical and Magnetic Materials (69 citations). H. Mutoh has collaborated with scholars based in Japan, United States and Singapore. Frequent co-authors include I. Tagawa, Koichi Fukuda, S. Takenoiri, Nobuo Yoshikawa, Hidetoshi Tanaka, H. Iwasaki, Y. Shiroishi, Tatsuya Sugawara, Y. Mizoshita and Matthew A. Deardorff. Their work appears in journals such as IEEE Transactions on Magnetics, Helicobacter, JNCI Journal of the National Cancer Institute, Endocrinology and The American Journal of Human Genetics.

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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