This map shows the geographic impact of Hiroshi Eda'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 Hiroshi Eda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroshi Eda more than expected).
This network shows the impact of papers produced by Hiroshi Eda. 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 Hiroshi Eda. The network helps show where Hiroshi Eda may publish in the future.
Co-authorship network of co-authors of Hiroshi Eda
This figure shows the co-authorship network connecting the top 25 collaborators of Hiroshi Eda.
A scholar is included among the top collaborators of Hiroshi Eda 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 Hiroshi Eda. Hiroshi Eda is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Eda, Hiroshi, et al.. (1998). Development of Key-Technology on the State-of-the-Art Machine Tool and Generalization of Grinding Forces under Ductile Mode Grinding Experiments. 32(2). 98–103.1 indexed citations
Eda, Hiroshi, et al.. (1997). Analytical Study on Ductile-Regime Scratching of Glasses Using Sharply Pointed Tip Diamond Indenter. 31(2). 109–114.3 indexed citations
Eda, Hiroshi, et al.. (1976). Electrostatic Cooling Phenomena. Journal of the Japan Society of Precision Engineering. 42(495). 286–291.1 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.