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.
Concept and practical considerations of non-orthogonal multiple access (NOMA) for future radio access
2013408 citationsAnass Benjebbour, Yuya Saito et al.Zenodo (CERN European Organization for Nuclear Research)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 Atsushi Harada
Since
Specialization
Citations
This map shows the geographic impact of Atsushi Harada'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 Atsushi Harada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Atsushi Harada more than expected).
This network shows the impact of papers produced by Atsushi Harada. 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 Atsushi Harada. The network helps show where Atsushi Harada may publish in the future.
Co-authorship network of co-authors of Atsushi Harada
This figure shows the co-authorship network connecting the top 25 collaborators of Atsushi Harada.
A scholar is included among the top collaborators of Atsushi Harada 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 Atsushi Harada. Atsushi Harada is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Saito, Keisuke, Anass Benjebbour, Atsushi Harada, Yoshihisa Kishiyama, & Takehiro Nakamura. (2014). Performance Evaluation of SIC Receiver considering Error Vector Magnitude for Downlink NOMA. 114(254). 43–48.2 indexed citations
9.
Li, Anxin, et al.. (2013). System-level performance of downlink NOMA for future LTE enhancements. 66–70.286 indexed citations breakdown →
10.
Benjebbour, Anass, Anxin Li, Yoshihisa Kishiyama, Atsushi Harada, & Takehiro Nakamura. (2013). On Multi-User Power Allocation and Scheduling of Downlink NOMA for Future Radio Access. IEICE technical report. Speech. 113(301). 135–140.2 indexed citations
11.
Benjebbour, Anass, Yuya Saito, Yoshihisa Kishiyama, et al.. (2013). Concept and practical considerations of non-orthogonal multiple access (NOMA) for future radio access. Zenodo (CERN European Organization for Nuclear Research). 770–774.408 indexed citations breakdown →
Harada, Atsushi, Shinya Tanaka, Mamoru Sawahashi, & Fumiyuki Adachi. (2002). Experiments on Adaptive Antenna Array Transmit Diversity in W-CDMA Forward Link.. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 85(7). 1612–1623.1 indexed citations
20.
Tanaka, Shinya, et al.. (2001). Combined Effect of Coherent Adaptive Antenna Array Diversity and SINR-Based Fast Transmit Power Control in W-CDMA Reverse Link. IEICE Transactions on Communications. 84(3). 425–434.2 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.