Hidemoto Nakada
About
In The Last Decade
Hidemoto Nakada
81 papers receiving 954 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Hidemoto Nakada Japan | 16 | 885 | 522 | 345 | 147 | 75 | 89 | 1.0k | ||
| Hesham El‐Rewini United States | 12 | 1.0k 1.2× | 364 0.7× | 653 1.9× | 31 0.2× | 83 1.1× | 61 | 1.2k | ||
| Yunhong Gu United States | 14 | 780 0.9× | 375 0.7× | 94 0.3× | 90 0.6× | 105 1.4× | 30 | 944 | ||
| Carlos A. Varela United States | 15 | 522 0.6× | 268 0.5× | 189 0.5× | 44 0.3× | 178 2.4× | 76 | 726 | ||
| Marios D. Dikaiakos Cyprus | 14 | 529 0.6× | 218 0.4× | 86 0.2× | 71 0.5× | 78 1.0× | 50 | 652 | ||
| Hanjun Kim South Korea | 15 | 437 0.5× | 171 0.3× | 315 0.9× | 33 0.2× | 123 1.6× | 56 | 643 | ||
| Peter Strazdins Australia | 11 | 433 0.5× | 213 0.4× | 188 0.5× | 16 0.1× | 52 0.7× | 70 | 562 | ||
| Angelos Bilas Greece | 20 | 989 1.1× | 353 0.7× | 633 1.8× | 15 0.1× | 92 1.2× | 118 | 1.1k | ||
| Jeremy Singer United Kingdom | 14 | 394 0.4× | 360 0.7× | 147 0.4× | 29 0.2× | 193 2.6× | 71 | 726 | ||
| Xiaoyong Tang China | 14 | 342 0.4× | 271 0.5× | 164 0.5× | 18 0.1× | 84 1.1× | 46 | 567 | ||
| Paweł Czarnul Poland | 13 | 283 0.3× | 164 0.3× | 208 0.6× | 24 0.2× | 40 0.5× | 65 | 477 |
Countries citing papers authored by Hidemoto Nakada
This map shows the geographic impact of Hidemoto Nakada'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 Hidemoto Nakada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hidemoto Nakada more than expected).
Fields of papers citing papers by Hidemoto Nakada
This network shows the impact of papers produced by Hidemoto Nakada. 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 Hidemoto Nakada. The network helps show where Hidemoto Nakada may publish in the future.
Co-authorship network of co-authors of Hidemoto Nakada
This figure shows the co-authorship network connecting the top 25 collaborators of Hidemoto Nakada. A scholar is included among the top collaborators of Hidemoto Nakada 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 Hidemoto Nakada. Hidemoto Nakada 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.