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.
Recent advances in physical reservoir computing: A review
20191.3k citationsGouhei Tanaka, Ryosho Nakane et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of Akira Hirose'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 Akira Hirose with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akira Hirose more than expected).
This network shows the impact of papers produced by Akira Hirose. 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 Akira Hirose. The network helps show where Akira Hirose may publish in the future.
Co-authorship network of co-authors of Akira Hirose
This figure shows the co-authorship network connecting the top 25 collaborators of Akira Hirose.
A scholar is included among the top collaborators of Akira Hirose 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 Akira Hirose. Akira Hirose is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Natsuaki, Ryo & Akira Hirose. (2013). Performance improvement of InSAR local co-registration method with multiresolution interferogram. IEEE Asia-Pacific Conference on Synthetic Aperture Radar. 218–221.4 indexed citations
12.
Ding, Tianben & Akira Hirose. (2013). Fading channel prediction based on complex-valued neural networks in frequency domain. 640–643.4 indexed citations
13.
Kikuta, Kazutaka & Akira Hirose. (2013). Dispersion characteristics of ultra wideband antennas and their radiation patterns. 462–465.8 indexed citations
14.
Shang, Fang & Akira Hirose. (2013). PolSAR land classification by using quaternion-valued neural networks. IEEE Asia-Pacific Conference on Synthetic Aperture Radar. 593–596.14 indexed citations
15.
Hirose, Akira, et al.. (2013). Beamforming for impulse-radio UWB communication systems based on complex-valued spatio-temporal neural networks. 848–851.3 indexed citations
16.
Hirose, Akira, et al.. (2012). Fully isotropic singularity-spreading phase unwrapping. International Symposium on Antennas and Propagation. 628–631.4 indexed citations
17.
Baba, Takahiro & Akira Hirose. (2010). Planar wideband adaptive antenna consisting of radially arrayed multiple taper-slot antenna elements having wide fins. Asia-Pacific Microwave Conference. 738–741.1 indexed citations
Hirose, Akira. (2004). Complex-Valued Neural Networks: Theories and Applications (Series on Innovative Intelligence, 5).5 indexed citations
20.
Hirose, Akira, et al.. (2001). Complex-Valued Region-Based-Coupling Image Clustering Neural Networks for Interferometric Radar Image Processing. IEICE Transactions on Electronics. 84(12). 1932–1938.1 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.