Hidetomi Terai
About
In The Last Decade
Hidetomi Terai
149 papers receiving 4.5k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Hidetomi Terai Japan | 31 | 2.3k | 2.1k | 1.7k | 1.2k | 319 | 164 | 4.6k | ||
| Alberto Di Martino Italy | 28 | 1.8k 0.8× | 1.1k 0.5× | 774 0.4× | 905 0.7× | 217 0.7× | 167 | 3.8k | ||
| Bradford L. Currier United States | 43 | 3.1k 1.3× | 1.2k 0.5× | 874 0.5× | 1.8k 1.5× | 192 0.6× | 163 | 5.3k | ||
| Jian Dong China | 38 | 1.5k 0.6× | 1.9k 0.9× | 925 0.5× | 870 0.7× | 983 3.1× | 182 | 4.9k | ||
| Toshitaka Yoshii Japan | 29 | 2.1k 0.9× | 718 0.3× | 301 0.2× | 1.3k 1.0× | 324 1.0× | 219 | 3.5k | ||
| Jae Hyup Lee South Korea | 32 | 2.0k 0.9× | 1.5k 0.7× | 350 0.2× | 1.1k 0.9× | 206 0.6× | 155 | 3.4k | ||
| Nadim J. Hallab United States | 47 | 5.8k 2.5× | 1.9k 0.9× | 568 0.3× | 466 0.4× | 468 1.5× | 118 | 8.2k | ||
| René Olivares‐Navarrete United States | 42 | 2.3k 1.0× | 4.6k 2.2× | 872 0.5× | 395 0.3× | 1.1k 3.4× | 111 | 6.9k | ||
| Fengxuan Han China | 30 | 891 0.4× | 2.8k 1.3× | 1.5k 0.9× | 177 0.1× | 458 1.4× | 78 | 4.0k | ||
| Cunyi Fan China | 53 | 3.2k 1.4× | 2.6k 1.2× | 2.2k 1.3× | 267 0.2× | 1.4k 4.3× | 269 | 8.5k | ||
| Yasuo Shikinami Japan | 25 | 1.4k 0.6× | 1.6k 0.8× | 1.2k 0.7× | 354 0.3× | 63 0.2× | 50 | 2.9k |
Countries citing papers authored by Hidetomi Terai
This map shows the geographic impact of Hidetomi Terai'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 Hidetomi Terai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hidetomi Terai more than expected).
Fields of papers citing papers by Hidetomi Terai
This network shows the impact of papers produced by Hidetomi Terai. 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 Hidetomi Terai. The network helps show where Hidetomi Terai may publish in the future.
Co-authorship network of co-authors of Hidetomi Terai
This figure shows the co-authorship network connecting the top 25 collaborators of Hidetomi Terai. A scholar is included among the top collaborators of Hidetomi Terai 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 Hidetomi Terai. Hidetomi Terai 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.