Kazuki Maruta
- Electrical and Electronic Engineering top 5%
- Computer Networks and Communications top 5%
- Aerospace Engineering top 5%
- Artificial Intelligence
- Signal Processing top 10%
- Co-authors
- Chang-Jun AhnYu NakayamaAtsushi OhtaTakuya TsutsumiDaisuke HisanoKaoru SezakiJin NakazatoKei Sakaguchi
- Topics
- Advanced MIMO Systems Optimization (86 papers)Cooperative Communication and Network Coding (53 papers)Advanced Wireless Communication Techniques (52 papers)
- Cited by
- Computer Networks and CommunicationsElectrical and Electronic EngineeringAerospace Engineering
- Partner nations
- JapanUnited StatesPortugal
In The Last Decade
Kazuki Maruta
179 papers receiving 903 citations
Peers
Comparison fields: 5 of 78
- Electrical and Electronic Engineering 708
- Computer Networks and Communications 381
- Aerospace Engineering 228
- Artificial Intelligence 71
- Signal Processing 51
Countries citing papers authored by Kazuki Maruta
This map shows the geographic impact of Kazuki Maruta'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 Kazuki Maruta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazuki Maruta more than expected).
Fields of papers citing papers by Kazuki Maruta
This network shows the impact of papers produced by Kazuki Maruta. 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 Kazuki Maruta. The network helps show where Kazuki Maruta may publish in the future.
Co-authorship network of co-authors of Kazuki Maruta
This figure shows the co-authorship network connecting the top 25 collaborators of Kazuki Maruta. A scholar is included among the top collaborators of Kazuki Maruta 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 Kazuki Maruta. Kazuki Maruta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 7 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | 1 | |
| 10 | 24 | |
| 11 | 5 | |
| 12 | 1 | |
| 13 | 19 | |
| 14 | 7 | |
| 15 | 21 | |
| 16 | 7 | |
| 17 | 6 | |
| 18 | K-Factor Estimation based on Spectrogram Images by Convolutional Neural Network | 2 |
| 19 | A new antenna arrangement design of Massive MIMO in LOS environment for further capacity enhancement | 9 |
| 20 | Improving spectral efficiency of multiuser-MIMO Distributed Antenna Systems by inter-cluster interference cancellation | 6 |
About Kazuki Maruta
Kazuki Maruta is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Aerospace Engineering, having authored 201 papers that have together received 932 indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (86 papers), Cooperative Communication and Network Coding (53 papers) and Advanced Wireless Communication Techniques (52 papers). The work is most often cited by research in Computer Networks and Communications (381 citations), Electrical and Electronic Engineering (708 citations) and Aerospace Engineering (228 citations). Kazuki Maruta has collaborated with scholars based in Japan, United States and Portugal. Frequent co-authors include Chang-Jun Ahn, Yu Nakayama, Atsushi Ohta, Takuya Tsutsumi, Daisuke Hisano, Daisuke Hisano, Kaoru Sezaki, Jin Nakazato, Kei Sakaguchi and Takatoshi Sugiyama. Their work appears in journals such as IEEE Access, IEEE Communications Magazine and Sensors.
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.