Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Non-Orthogonal Multiple Access (NOMA) for Cellular Future Radio Access
20131.9k citationsYuya Saito, Yoshihisa Kishiyama et al.profile →
System-level performance evaluation of downlink non-orthogonal multiple access (NOMA)
2013632 citationsYuya Saito, Anass Benjebbour et al.profile →
Concept and practical considerations of non-orthogonal multiple access (NOMA) for future radio access
2013408 citationsAnass Benjebbour, Yuya Saito et al.profile →
Trends in small cell enhancements in LTE advanced
2013356 citationsTakehiro Nakamura, Satoshi Nagata et al.profile →
System-level performance of downlink NOMA for future LTE enhancements
2013286 citationsAnxin Li, Yuya Saito et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Takehiro Nakamura
Since
Specialization
Citations
This map shows the geographic impact of Takehiro Nakamura'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 Takehiro Nakamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takehiro Nakamura more than expected).
Fields of papers citing papers by Takehiro Nakamura
This network shows the impact of papers produced by Takehiro Nakamura. 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 Takehiro Nakamura. The network helps show where Takehiro Nakamura may publish in the future.
Co-authorship network of co-authors of Takehiro Nakamura
This figure shows the co-authorship network connecting the top 25 collaborators of Takehiro Nakamura.
A scholar is included among the top collaborators of Takehiro Nakamura 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 Takehiro Nakamura. Takehiro Nakamura is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
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
Kudo, Riichi, et al.. (2017). A study on autonomous resource selection method for sidelink of LTE V2X. IEICE Technical Report; IEICE Tech. Rep.. 117(284). 69–73.1 indexed citations
Kishiyama, Yoshihisa, Takehiro Nakamura, Amitava Ghosh, & Mark Cudak. (2014). B-5-59 Concept of mmW Experimental Trial for 5G Radio Access. 2014(1). 330.4 indexed citations
8.
Saito, Yuya, Anass Benjebbour, Yoshihisa Kishiyama, & Takehiro Nakamura. (2014). A study on performance of downlink non-orthogonal multiple access (NOMA) in various environments. 114(254). 37–42.1 indexed citations
9.
Kakishima, Yuichi, Song Yang, Anass Benjebbour, et al.. (2014). System-Level Evaluation on Enhanced 4-Tx Codebook for LTE-Advanced Downlink Multi-User MIMO. IEICE Technical Report; IEICE Tech. Rep.. 113(386). 71–76.1 indexed citations
10.
Yasukawa, Shinpei, et al.. (2014). Resource allocation scheme for device to device discovery in LTE-Advanced. IEICE Technical Report; IEICE Tech. Rep.. 114(164). 233–238.2 indexed citations
11.
Okumura, Yukihiko & Takehiro Nakamura. (2013). Future Radio Access and Mobile Optical Network -- Part I. 113(361). 149–154.6 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.