Tetsuro Imai

1.2k total citations
102 papers, 508 citations indexed

About

Tetsuro Imai is a scholar working on Electrical and Electronic Engineering, Media Technology and Aerospace Engineering. According to data from OpenAlex, Tetsuro Imai has authored 102 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 96 papers in Electrical and Electronic Engineering, 33 papers in Media Technology and 29 papers in Aerospace Engineering. Recurrent topics in Tetsuro Imai's work include Millimeter-Wave Propagation and Modeling (79 papers), Advanced MIMO Systems Optimization (63 papers) and Telecommunications and Broadcasting Technologies (33 papers). Tetsuro Imai is often cited by papers focused on Millimeter-Wave Propagation and Modeling (79 papers), Advanced MIMO Systems Optimization (63 papers) and Telecommunications and Broadcasting Technologies (33 papers). Tetsuro Imai collaborates with scholars based in Japan, Germany and United States. Tetsuro Imai's co-authors include Koshiro Kitao, Yukihiko Okumura, Satoshi Suyama, Yoshihisa Kishiyama, Anass Benjebbour, Takehiro Nakamura, Motoharu Sasaki, Kentaro Nishimori, Wataru Yamada and Jun‐ichi Takada and has published in prestigious journals such as IEEE Journal on Selected Areas in Communications, IEEE Transactions on Antennas and Propagation and IEEE Antennas and Wireless Propagation Letters.

In The Last Decade

Tetsuro Imai

90 papers receiving 465 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tetsuro Imai Japan 10 482 154 87 76 15 102 508
Ozge H. Koymen United States 12 812 1.7× 219 1.4× 98 1.1× 84 1.1× 7 0.5× 29 855
Myung-Don Kim South Korea 13 631 1.3× 127 0.8× 88 1.0× 58 0.8× 10 0.7× 83 658
Mikko Kyrö Finland 15 667 1.4× 345 2.2× 66 0.8× 61 0.8× 11 0.7× 36 720
Richard J. Weiler Germany 13 481 1.0× 110 0.7× 67 0.8× 58 0.8× 8 0.5× 29 501
Mir Ghoraishi United Kingdom 11 449 0.9× 154 1.0× 22 0.3× 63 0.8× 7 0.5× 53 470
Peter B. Papazian United States 13 487 1.0× 125 0.8× 30 0.3× 68 0.9× 17 1.1× 35 508
Shinobu Nanba Japan 11 388 0.8× 72 0.5× 75 0.9× 179 2.4× 7 0.5× 45 433
Adnan Ahmad Cheema United Kingdom 9 270 0.6× 125 0.8× 29 0.3× 31 0.4× 38 2.5× 29 322
Andrzej Partyka United States 5 430 0.9× 87 0.6× 82 0.9× 38 0.5× 7 0.5× 6 453
W. Honcharenko United States 7 595 1.2× 244 1.6× 63 0.7× 150 2.0× 26 1.7× 11 645

Countries citing papers authored by Tetsuro Imai

Since Specialization
Citations

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

Fields of papers citing papers by Tetsuro Imai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tetsuro Imai

This figure shows the co-authorship network connecting the top 25 collaborators of Tetsuro Imai. A scholar is included among the top collaborators of Tetsuro Imai 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 Tetsuro Imai. Tetsuro Imai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kitao, Koshiro, et al.. (2019). 2D-DOA Estimation by Compressed Sensing Using Sub-Arrays in an Actual Urban Street Cell Environment. International Symposium on Antennas and Propagation.
2.
Imai, Tetsuro, et al.. (2019). Radio Wave Visualizer for 5G New Radio Signal. International Symposium on Antennas and Propagation. 2 indexed citations
3.
Imai, Tetsuro, et al.. (2019). Radio Propagation Modeling Competition. IEICE Technical Report; IEICE Tech. Rep.. 119(28). 7–12. 6 indexed citations
4.
Imai, Tetsuro, et al.. (2018). A Study on Radio Propagation Prediction by Using Deep Learning with CNN -- Relationship between Prediction Accuracy and Input Map-Parameters. IEICE Technical Report; IEICE Tech. Rep.. 118(246). 1–6. 2 indexed citations
5.
Peter, Michael, Wilhelm Keusgen, Koshiro Kitao, et al.. (2018). Analysis of Delay and AOD Spread at 67 GHz for an Urban Micro Street Canyon Scenario. International Symposium on Antennas and Propagation. 1 indexed citations
6.
Imai, Tetsuro, et al.. (2018). Real-time 5G Radio Wave Visualizer. International Symposium on Antennas and Propagation. 1 indexed citations
7.
Sasaki, Motoharu, et al.. (2016). Effect of reflected waves from outdoor buildings on outdoor-to-indoor path loss in 0.8 to 37 GHz band. International Symposium on Antennas and Propagation. 2 indexed citations
8.
Rupasinghe, Nadisanka, Yuichi Kakishima, İsmail Güvenç, Koshiro Kitao, & Tetsuro Imai. (2016). Geometry performance for 5G mmWave cellular networks. International Symposium on Antennas and Propagation. 1 indexed citations
9.
Wang, Chenwei, Haralabos Papadopoulos, Koshiro Kitao, & Tetsuro Imai. (2016). Ray-tracing based performance evaluation of 5G mmWave massive MIMO in hotspots. International Symposium on Antennas and Propagation. 6 indexed citations
10.
Sasaki, Motoharu, Wataru Yamada, Naoki Kita, et al.. (2016). Path loss characteristics between different floors from 0.8 to 37 GHz in indoor office environments. International Symposium on Antennas and Propagation. 5 indexed citations
11.
Kitao, Koshiro, et al.. (2015). Investigation of ray-tracing accuracy in street cell environment for high-SHF and EHF bands. European Conference on Antennas and Propagation. 1–4. 7 indexed citations
12.
Imai, Tetsuro, et al.. (2015). Measurement of indoor channel characteristics at 20 GHz band. International Symposium on Antennas and Propagation. 5 indexed citations
13.
Nishimori, Kentaro, et al.. (2015). Basic performance of massive MIMO in indoor scenario at 20-GHz band. International Symposium on Antennas and Propagation. 2 indexed citations
14.
Ghoraishi, Mir, et al.. (2011). Frequency characteristics of angular spread for radio wave propagation through foliage. View. 3289–3292. 1 indexed citations
15.
Ghoraishi, Mir, et al.. (2010). Azimuth and delay dispersion of mobile radio wave propagation through vegetation. View. 1–4. 4 indexed citations
16.
Kitao, Koshiro, et al.. (2010). Impact of number of probe antennas for MIMO OTA spatial channel emulator. European Conference on Antennas and Propagation. 1–5. 9 indexed citations
17.
Ghoraishi, Mir, et al.. (2009). Polar directional characteristics of the urban mobile propagation channel at 2.2 GHz. Surrey Research Insight Open Access (The University of Surrey). 892–896. 4 indexed citations
18.
Imai, Tetsuro, et al.. (2009). Relation Between Angle Spread of Arriving Waves and Alignment of Scatterer antennas for Spatial Channel Emulator. IEICE Technical Report; IEICE Tech. Rep.. 109(35). 87–92. 1 indexed citations
19.
Imai, Tetsuro. (2002). Prediction of Propagation Characteristics in Tunnels Using Ray-Tracing Method. IEICE Transactions on Communications. 85(2). 569. 14 indexed citations
20.
Uchida, Kazunori, et al.. (1998). Analysis of Electromagnetic Wave Scattering by a Conducting Thin Plate and Image Coefficient for Ray Tracing Method. IEICE Transactions on Electronics. 81(6). 993–999. 1 indexed citations

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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