Hideyuki Terazono
About
In The Last Decade
Hideyuki Terazono
48 papers receiving 858 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Hideyuki Terazono Japan | 15 | 419 | 235 | 227 | 161 | 81 | 48 | 866 | ||
| Christoph Bauer Switzerland | 13 | 920 2.2× | 404 1.7× | 317 1.4× | 563 3.5× | 302 3.7× | 15 | 1.8k | ||
| Muntaha Samad United States | 12 | 373 0.9× | 357 1.5× | 75 0.3× | 208 1.3× | 49 0.6× | 17 | 818 | ||
| Ming‐Yang Lee Taiwan | 14 | 242 0.6× | 123 0.5× | 42 0.2× | 159 1.0× | 69 0.9× | 43 | 975 | ||
| Vicente Valero Spain | 10 | 123 0.3× | 91 0.4× | 56 0.2× | 396 2.5× | 268 3.3× | 17 | 732 | ||
| A. Tolédano Spain | 19 | 71 0.2× | 315 1.3× | 122 0.5× | 310 1.9× | 209 2.6× | 141 | 1.3k | ||
| William Yang United States | 14 | 125 0.3× | 151 0.6× | 78 0.3× | 116 0.7× | 30 0.4× | 27 | 599 | ||
| Nicholas J. Hunt Australia | 15 | 159 0.4× | 131 0.6× | 39 0.2× | 171 1.1× | 13 0.2× | 24 | 689 | ||
| Hee-Dae Kim South Korea | 13 | 239 0.6× | 151 0.6× | 41 0.2× | 98 0.6× | 57 0.7× | 66 | 719 | ||
| Raphaël Doenlen Switzerland | 13 | 48 0.1× | 250 1.1× | 81 0.4× | 332 2.1× | 118 1.5× | 17 | 1.4k | ||
| David G. Lange United States | 17 | 67 0.2× | 197 0.8× | 66 0.3× | 188 1.2× | 181 2.2× | 28 | 734 |
Countries citing papers authored by Hideyuki Terazono
This map shows the geographic impact of Hideyuki Terazono'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 Hideyuki Terazono with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hideyuki Terazono more than expected).
Fields of papers citing papers by Hideyuki Terazono
This network shows the impact of papers produced by Hideyuki Terazono. 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 Hideyuki Terazono. The network helps show where Hideyuki Terazono may publish in the future.
Co-authorship network of co-authors of Hideyuki Terazono
This figure shows the co-authorship network connecting the top 25 collaborators of Hideyuki Terazono. A scholar is included among the top collaborators of Hideyuki Terazono 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 Hideyuki Terazono. Hideyuki Terazono is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
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.