This map shows the geographic impact of Yukio Shibata'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 Yukio Shibata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yukio Shibata more than expected).
This network shows the impact of papers produced by Yukio Shibata. 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 Yukio Shibata. The network helps show where Yukio Shibata may publish in the future.
Co-authorship network of co-authors of Yukio Shibata
This figure shows the co-authorship network connecting the top 25 collaborators of Yukio Shibata.
A scholar is included among the top collaborators of Yukio Shibata 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 Yukio Shibata. Yukio Shibata is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Shibata, Yukio, et al.. (2003). An Optimal Adaptive Diagnosis of Butterfly Networks. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 86(5). 1008–1018.8 indexed citations
Araki, Toru & Yukio Shibata. (2002). Optimal Diagnosable Systems on Cayley Graphs. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 85(2). 455–462.2 indexed citations
6.
Tanaka, Yuuki & Yukio Shibata. (2002). Cayley graphs on the wreath product of cyclic groups and graphs of the de Bruijn family. 102(522). 29–36.2 indexed citations
7.
Shibata, Yukio, et al.. (2002). Diagnosability of Butterfly Networks under the Comparison Approach. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 85(5). 1152–1160.20 indexed citations
8.
Kawai, Hiroyuki & Yukio Shibata. (2002). The Chromatic Number and the Chromatic Index of de Bruijn and Kautz Digraphs. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 85(6). 1352–1358.1 indexed citations
9.
Shibata, Yukio, et al.. (2002). Efficient Diagnosis Algorithms on Butterfly Networks under the Comparison Approach(Special Section of Selected Papers from the 14th Workshop on Circuits and Systems in Karuizawa). IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 85(4). 842–848.1 indexed citations
Araki, Toru & Yukio Shibata. (2000). Diagnosability of Networks Represented by the Cartesian Product. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 83(3). 465–470.9 indexed citations
12.
Shibata, Yukio. (2000). Graph Products Based on the Distance in Graphs. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 83(3). 459–464.3 indexed citations
13.
Araki, Toru & Yukio Shibata. (1999). Isomorphic factorization of complete bipartite graph into forest.. Ars Combinatoria. 53.1 indexed citations
14.
Takahashi, T., Yukio Shibata, K. Ishi, et al.. (1994). Čerenkov radiation from a finite trajectory of electrons. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 50(5). 4041–4050.29 indexed citations
15.
Nakazato, T., M. Oyamada, Nobuo Niimura, et al.. (1990). Coherent synchrotron radiation. CERN Bulletin. 33. 141–146.2 indexed citations
Shibata, Yukio, et al.. (1958). Measurements of field patterns for a comb-type slow-wave structure. The proceedings of the Institution of Electrical Engineers. Part B, Radio and electronic engineering, including communication engineering. 105(12S). 890–892.1 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.