Keiko Udo
About
In The Last Decade
Keiko Udo
103 papers receiving 1.0k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Keiko Udo Japan | 18 | 557 | 369 | 300 | 241 | 158 | 117 | 1.1k | ||
| Akira Mano Japan | 14 | 295 0.5× | 233 0.6× | 366 1.2× | 149 0.6× | 141 0.9× | 88 | 1000 | ||
| Jiun‐Chuan Lin Taiwan | 11 | 435 0.8× | 653 1.8× | 238 0.8× | 369 1.5× | 367 2.3× | 30 | 1.5k | ||
| Luís Otero Colombia | 16 | 377 0.7× | 213 0.6× | 129 0.4× | 216 0.9× | 182 1.2× | 69 | 890 | ||
| Efthimios Karymbalis Greece | 18 | 220 0.4× | 306 0.8× | 438 1.5× | 111 0.5× | 129 0.8× | 61 | 979 | ||
| Ines Alberico Italy | 19 | 223 0.4× | 372 1.0× | 162 0.5× | 193 0.8× | 235 1.5× | 56 | 964 | ||
| Manuel Garçin France | 17 | 394 0.7× | 307 0.8× | 185 0.6× | 292 1.2× | 84 0.5× | 47 | 902 | ||
| David K.C. Jones United Kingdom | 21 | 341 0.6× | 379 1.0× | 149 0.5× | 149 0.6× | 131 0.8× | 51 | 1.2k | ||
| Kalliopi Gaki‐Papanastassiou Greece | 16 | 116 0.2× | 253 0.7× | 437 1.5× | 94 0.4× | 203 1.3× | 35 | 1.0k | ||
| Bryce F. J. Kelly Australia | 21 | 116 0.2× | 204 0.6× | 257 0.9× | 95 0.4× | 135 0.9× | 56 | 1.1k | ||
| Xingmin Meng China | 19 | 252 0.5× | 741 2.0× | 286 1.0× | 137 0.6× | 94 0.6× | 44 | 1.3k |
Countries citing papers authored by Keiko Udo
This map shows the geographic impact of Keiko Udo'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 Keiko Udo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keiko Udo more than expected).
Fields of papers citing papers by Keiko Udo
This network shows the impact of papers produced by Keiko Udo. 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 Keiko Udo. The network helps show where Keiko Udo may publish in the future.
Co-authorship network of co-authors of Keiko Udo
This figure shows the co-authorship network connecting the top 25 collaborators of Keiko Udo. A scholar is included among the top collaborators of Keiko Udo 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 Keiko Udo. Keiko Udo 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.