Kazuki Maruta

1.3k citations
201 papers · 932 indexed · h-index 14

Kazuki Maruta

179 papers receiving 903 citations

Peers

Kazuki Maruta
Comparison fields: 5 of 78
  • Computer Networks and Communications 381
  • Electrical and Electronic Engineering 708
  • Aerospace Engineering 228
  • Horticulture 8
  • Media Technology 48
Replace Zunwen He with:
Zunwen He China
Yu Nakayama Japan
Tunçer Baykaş Türkiye
Stephan Jaeckel Germany
Arsenia Chorti France
Ye Li China
Kamarul Ariffin Noordin Malaysia
Zhuo Li China
Shabnam Sodagari United States
Henrik Lehrmann Christiansen Denmark
Kazuki Maruta relative to Zunwen He China Zunwen He's profile →
Citations per field
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Citations per year

Countries citing papers authored by Kazuki Maruta

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Kazuki Maruta, 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 Kazuki Maruta Line = papers co-authored together Kazuki Maruta links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
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18
K-Factor Estimation based on Spectrogram Images by Convolutional Neural Network
20202
19
A new antenna arrangement design of Massive MIMO in LOS environment for further capacity enhancement
20159
20
Improving spectral efficiency of multiuser-MIMO Distributed Antenna Systems by inter-cluster interference cancellation
20106

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), Advanced Wireless Communication Techniques (52 papers), Millimeter-Wave Propagation and Modeling (30 papers), Wireless Communication Networks Research (29 papers), Advanced Wireless Communication Technologies (23 papers), Antenna Design and Analysis (23 papers) and Power Line Communications and Noise (15 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.

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