Jun Mashino

526 citations
66 papers · 391 · h-index 11

Impact in

Papers in

Jun Mashino

59 papers receiving 339 citations

Peers

Jun Mashino
Comparison fields: 5 of 24
  • Computer Networks and Communications 150
  • Electrical and Electronic Engineering 358
  • Media Technology 46
  • Aerospace Engineering 98
  • Signal Processing 7
Replace Moritz Lossow with:
Moritz Lossow Germany
Mir Ghoraishi Japan
Baiqing Zong China
Masato Mizoguchi Japan
Harsh Tataria United Kingdom
Daiming Qu China
Artyom Lomayev United States
Shinobu Nanba Japan
Farbod Kayhan Luxembourg
Kumar Balachandran United States
Jun Mashino relative to Moritz Lossow Germany Moritz Lossow's profile →
Citations per field
00.5×2.8×
Moritz Lossow · 1×
Citations per year

Countries citing papers authored by Jun Mashino

Since Specialization
Citations

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

Fields of papers citing papers by Jun Mashino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202035
2 201920
3 201717
4 202115
5 201615
6 201815
7 201715
8 201714
9 201614
10 200914
11 201711
12 201610
13 201810
14 20179
15 20158
16 20168
17 20128
18 20117
19 20177
20 20177

About Jun Mashino

Jun Mashino is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Aerospace Engineering, Media Technology and Atomic and Molecular Physics, and Optics, having authored 66 papers that have together received 391 indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (40 papers), Wireless Communication Networks Research (22 papers), Advanced Wireless Communication Techniques (22 papers), Millimeter-Wave Propagation and Modeling (21 papers), Antenna Design and Analysis (17 papers), Cooperative Communication and Network Coding (12 papers), Telecommunications and Broadcasting Technologies (8 papers) and PAPR reduction in OFDM (7 papers). The work is most often cited by research in Computer Networks and Communications (150 citations), Electrical and Electronic Engineering (358 citations), Media Technology (46 citations), Aerospace Engineering (98 citations) and Signal Processing (7 citations). Jun Mashino has collaborated with scholars based in Japan, Germany and United States. Frequent co-authors include Satoshi Suyama, Yukihiko Okumura, Takatoshi Sugiyama, Kazushi Muraoka, Yoshihisa Kishiyama, Tomoaki Ohtsuki, Kazuki Maruta, Yuki Inoue, Yuta Takahashi and Hiroshi Nishimoto. Their work appears in journals such as EURASIP Journal on Wireless Communications and Networking, IEICE Transactions on Communications, IEEE Transactions on Wireless Communications, NTT technical review and IEEJ Transactions on Electrical and Electronic Engineering.

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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