Tadamasa Terai
About
In The Last Decade
Tadamasa Terai
39 papers receiving 456 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Tadamasa Terai Japan | 12 | 340 | 78 | 58 | 57 | 52 | 44 | 479 | ||
| Derya Kahveci Türkiye | 13 | 257 0.8× | 80 1.0× | 80 1.4× | 20 0.4× | 36 0.7× | 23 | 501 | ||
| Yasuhide Ota Japan | 18 | 728 2.1× | 52 0.7× | 153 2.6× | 59 1.0× | 98 1.9× | 52 | 808 | ||
| Joon S. Rhee South Korea | 8 | 362 1.1× | 48 0.6× | 100 1.7× | 28 0.5× | 84 1.6× | 9 | 466 | ||
| Pamela Torres Spain | 11 | 359 1.1× | 44 0.6× | 81 1.4× | 17 0.3× | 33 0.6× | 17 | 577 | ||
| Junqing Qian China | 11 | 234 0.7× | 57 0.7× | 58 1.0× | 15 0.3× | 40 0.8× | 23 | 385 | ||
| Pawinee Kanasawud Thailand | 8 | 191 0.6× | 40 0.5× | 41 0.7× | 15 0.3× | 26 0.5× | 10 | 445 | ||
| A. C. Lanser United States | 13 | 216 0.6× | 68 0.9× | 101 1.7× | 11 0.2× | 57 1.1× | 31 | 403 | ||
| James P. Henley United States | 9 | 509 1.5× | 26 0.3× | 130 2.2× | 14 0.2× | 75 1.4× | 17 | 620 | ||
| F. Ergan France | 14 | 443 1.3× | 72 0.9× | 94 1.6× | 27 0.5× | 160 3.1× | 25 | 560 | ||
| Neena N. Gandhi India | 10 | 602 1.8× | 23 0.3× | 168 2.9× | 35 0.6× | 174 3.3× | 12 | 679 |
Countries citing papers authored by Tadamasa Terai
This map shows the geographic impact of Tadamasa 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 Tadamasa Terai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tadamasa Terai more than expected).
Fields of papers citing papers by Tadamasa Terai
This network shows the impact of papers produced by Tadamasa 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 Tadamasa Terai. The network helps show where Tadamasa Terai may publish in the future.
Co-authorship network of co-authors of Tadamasa Terai
This figure shows the co-authorship network connecting the top 25 collaborators of Tadamasa Terai. A scholar is included among the top collaborators of Tadamasa 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 Tadamasa Terai. Tadamasa 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.