Keigo Takeuchi
Impact in
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- Error Correcting Code Techniques
- Distributed Sensor Networks and Detection Algorithms
Papers in
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- Wireless Communication Networks Research 16
- Distributed Sensor Networks and Detection Algorithms 9
- Error Correcting Code Techniques 7
- Cooperative Communication and Network Coding 6
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- Advanced Wireless Communication Techniques 24
- Advanced MIMO Systems Optimization 15
- Co-authors
- Satoshi Koike (1 shared paper)Minoru Yoshida (1 shared paper)Tsutomu Takegami (1 shared paper)Akira Okitsu (1 shared paper)H. Horie (1 shared paper)Narushi Iizuka (1 shared paper)I Ise (1 shared paper)Akio Nomoto (1 shared paper)
In The Last Decade
Keigo Takeuchi
50 papers receiving 719 citations
Peers
Comparison fields: 5 of 78
- Computer Networks and Communications 235
- Computational Mathematics 6
- Signal Processing 91
- Cardiology and Cardiovascular Medicine 157
- Infectious Diseases 113
Countries citing papers authored by Keigo Takeuchi
This map shows the geographic impact of Keigo Takeuchi'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 Keigo Takeuchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keigo Takeuchi more than expected).
Fields of papers citing papers by Keigo Takeuchi
This network shows the impact of papers produced by Keigo Takeuchi. 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 Keigo Takeuchi. The network helps show where Keigo Takeuchi may publish in the future.
Co-authors
The 25 scholars most cited alongside Keigo Takeuchi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1990 | 282 | |
| 2 | 2019 | 66 | |
| 3 | 2017 | 57 | |
| 4 | 2021 | 32 | |
| 5 | 2008 | 29 | |
| 6 | 2013 | 26 | |
| 7 | 2019 | 23 | |
| 8 | 2012 | 23 | |
| 9 | 2017 | 21 | |
| 10 | 2022 | 17 | |
| 11 | 2012 | 15 | |
| 12 | 2013 | 13 | |
| 13 | 2021 | 12 | |
| 14 | 2022 | 11 | |
| 15 | 2021 | 7 | |
| 16 | 2014 | 7 | |
| 17 | 2009 | 7 | |
| 18 | 2009 | 6 | |
| 19 | 2010 | 6 | |
| 20 | 2008 | 5 |
About Keigo Takeuchi
Keigo Takeuchi is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Computational Mechanics, Signal Processing and Biomedical Engineering, having authored 54 papers that have together received 730 indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (24 papers), Wireless Communication Networks Research (16 papers), Sparse and Compressive Sensing Techniques (16 papers), Advanced MIMO Systems Optimization (15 papers), Distributed Sensor Networks and Detection Algorithms (9 papers), Blind Source Separation Techniques (8 papers), Error Correcting Code Techniques (7 papers) and Cooperative Communication and Network Coding (6 papers). The work is most often cited by research in Computer Networks and Communications (235 citations), Computational Mathematics (6 citations), Signal Processing (91 citations), Cardiology and Cardiovascular Medicine (157 citations) and Infectious Diseases (113 citations). Keigo Takeuchi has collaborated with scholars based in Japan, Norway and Taiwan. Frequent co-authors include Satoshi Koike, Minoru Yoshida, Tsutomu Takegami, Akira Okitsu, H. Horie, Narushi Iizuka, I Ise, Akio Nomoto, Toshiyuki Tanaka and Mikko Vehkaperä. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Wireless Communications Letters, IEEE Communications Letters, Physics Letters A and The EMBO Journal.
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.