Mariko Noda
About
In The Last Decade
Mariko Noda
64 papers receiving 2.8k 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 | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Mariko Noda Japan | 24 | 951 | 857 | 830 | 512 | 511 | 66 | 2.9k | ||
| Koichi Kawahara Japan | 37 | 159 0.2× | 143 0.2× | 108 0.1× | 794 1.6× | 1.3k 2.5× | 203 | 4.7k | ||
| Hideo Saitô Japan | 33 | 270 0.3× | 369 0.4× | 208 0.3× | 201 0.4× | 934 1.8× | 193 | 3.7k | ||
| Matjaž Humar Slovenia | 32 | 160 0.2× | 657 0.8× | 972 1.2× | 137 0.3× | 675 1.3× | 96 | 3.6k | ||
| Hirofumi Maruyama Japan | 39 | 67 0.1× | 664 0.8× | 525 0.6× | 167 0.3× | 1.5k 3.0× | 396 | 5.6k | ||
| Hansang Cho United States | 27 | 59 0.1× | 278 0.3× | 58 0.1× | 269 0.5× | 1.1k 2.1× | 66 | 3.1k | ||
| Lili Cheng China | 28 | 50 0.1× | 297 0.3× | 358 0.4× | 165 0.3× | 1.2k 2.4× | 74 | 2.8k | ||
| Yoshiyuki Naito Japan | 24 | 76 0.1× | 863 1.0× | 245 0.3× | 330 0.6× | 322 0.6× | 128 | 3.0k | ||
| Yahui Liu China | 21 | 325 0.3× | 93 0.1× | 150 0.2× | 57 0.1× | 398 0.8× | 70 | 1.7k | ||
| Yan Chen China | 33 | 42 0.0× | 85 0.1× | 341 0.4× | 131 0.3× | 790 1.5× | 181 | 3.1k | ||
| Long Meng China | 31 | 217 0.2× | 50 0.1× | 274 0.3× | 21 0.0× | 312 0.6× | 116 | 3.2k |
Countries citing papers authored by Mariko Noda
This map shows the geographic impact of Mariko Noda'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 Mariko Noda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mariko Noda more than expected).
Fields of papers citing papers by Mariko Noda
This network shows the impact of papers produced by Mariko Noda. 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 Mariko Noda. The network helps show where Mariko Noda may publish in the future.
Co-authorship network of co-authors of Mariko Noda
This figure shows the co-authorship network connecting the top 25 collaborators of Mariko Noda. A scholar is included among the top collaborators of Mariko Noda 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 Mariko Noda. Mariko Noda 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.