Daisuke Shimura
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In The Last Decade
Co-authorship network of co-authors of Daisuke Shimura
This figure shows the co-authorship network connecting the top 25 collaborators of Daisuke Shimura. A scholar is included among the top collaborators of Daisuke Shimura 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 Daisuke Shimura. Daisuke Shimura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
Daisuke Shimura
65 papers receiving 943 citations
Fields of papers citing papers by Daisuke Shimura
This network shows the impact of papers produced by Daisuke Shimura. 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 Daisuke Shimura. The network helps show where Daisuke Shimura may publish in the future.
Countries citing papers authored by Daisuke Shimura
This map shows the geographic impact of Daisuke Shimura'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 Daisuke Shimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisuke Shimura more than expected).
Top Papers & Citation Paths
Explore Daisuke Shimura's most cited publications and discover how their work connects to other scholars through 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.