Naoko Maeda
About
In The Last Decade
Naoko Maeda
62 papers receiving 1.1k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Naoko Maeda Japan | 20 | 320 | 262 | 252 | 178 | 159 | 65 | 1.1k | ||
| Zilton Vasconcelos Brazil | 19 | 229 0.7× | 144 0.5× | 137 0.5× | 405 2.3× | 115 0.7× | 74 | 1.0k | ||
| Anne Junker Canada | 21 | 292 0.9× | 352 1.3× | 66 0.3× | 159 0.9× | 103 0.6× | 61 | 1.4k | ||
| Pavel Calda Czechia | 20 | 286 0.9× | 196 0.7× | 919 3.6× | 209 1.2× | 68 0.4× | 108 | 1.7k | ||
| Faith Kung United States | 25 | 116 0.4× | 478 1.8× | 332 1.3× | 429 2.4× | 174 1.1× | 49 | 1.8k | ||
| Clifford W. Bogue United States | 23 | 146 0.5× | 591 2.3× | 118 0.5× | 107 0.6× | 42 0.3× | 44 | 1.4k | ||
| Gordon C. Douglas United States | 22 | 397 1.2× | 536 2.0× | 319 1.3× | 105 0.6× | 68 0.4× | 49 | 1.4k | ||
| Gary I. Cohen United States | 14 | 335 1.0× | 427 1.6× | 215 0.9× | 121 0.7× | 82 0.5× | 40 | 1.7k | ||
| Denise Anderson Australia | 22 | 111 0.3× | 391 1.5× | 122 0.5× | 188 1.1× | 66 0.4× | 51 | 1.1k | ||
| Jovana Maksimovic Australia | 15 | 234 0.7× | 1.5k 5.6× | 363 1.4× | 89 0.5× | 41 0.3× | 25 | 2.0k | ||
| Carlos M. F. Antunes Brazil | 10 | 127 0.4× | 174 0.7× | 65 0.3× | 128 0.7× | 70 0.4× | 14 | 1.3k |
Countries citing papers authored by Naoko Maeda
This map shows the geographic impact of Naoko Maeda'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 Naoko Maeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naoko Maeda more than expected).
Fields of papers citing papers by Naoko Maeda
This network shows the impact of papers produced by Naoko Maeda. 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 Naoko Maeda. The network helps show where Naoko Maeda may publish in the future.
Co-authorship network of co-authors of Naoko Maeda
This figure shows the co-authorship network connecting the top 25 collaborators of Naoko Maeda. A scholar is included among the top collaborators of Naoko Maeda 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 Naoko Maeda. Naoko Maeda 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.