Maki Muto
About
In The Last Decade
Maki Muto
21 papers receiving 613 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Maki Muto Japan | 15 | 574 | 261 | 111 | 73 | 56 | 21 | 634 | ||
| Norma B. Vanasco Argentina | 10 | 398 0.7× | 256 1.0× | 80 0.7× | 90 1.2× | 52 0.9× | 27 | 526 | ||
| Araceli Lucio‐Forster United States | 13 | 456 0.8× | 311 1.2× | 93 0.8× | 41 0.6× | 106 1.9× | 33 | 588 | ||
| Dirceu Guilherme de Souza Ramos Brazil | 10 | 206 0.4× | 119 0.5× | 60 0.5× | 47 0.6× | 72 1.3× | 76 | 317 | ||
| Lauren Hubert Jaeger Brazil | 13 | 269 0.5× | 115 0.4× | 124 1.1× | 25 0.3× | 90 1.6× | 41 | 414 | ||
| Asoke Basu Trinidad and Tobago | 10 | 184 0.3× | 61 0.2× | 105 0.9× | 29 0.4× | 65 1.2× | 32 | 332 | ||
| Maria Júlia Salim Pereira Brazil | 12 | 259 0.5× | 96 0.4× | 104 0.9× | 27 0.4× | 100 1.8× | 27 | 380 | ||
| Felipe Fornazari Brazil | 14 | 323 0.6× | 122 0.5× | 51 0.5× | 81 1.1× | 32 0.6× | 46 | 433 | ||
| Brihuega Bibiana Argentina | 13 | 389 0.7× | 127 0.5× | 122 1.1× | 55 0.8× | 25 0.4× | 51 | 448 | ||
| Sabrina Schmidt Germany | 10 | 199 0.3× | 263 1.0× | 30 0.3× | 82 1.1× | 42 0.8× | 18 | 402 | ||
| Ilir Kusi Albania | 10 | 259 0.5× | 241 0.9× | 71 0.6× | 53 0.7× | 75 1.3× | 11 | 421 |
Countries citing papers authored by Maki Muto
This map shows the geographic impact of Maki Muto'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 Maki Muto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maki Muto more than expected).
Fields of papers citing papers by Maki Muto
This network shows the impact of papers produced by Maki Muto. 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 Maki Muto. The network helps show where Maki Muto may publish in the future.
Co-authorship network of co-authors of Maki Muto
This figure shows the co-authorship network connecting the top 25 collaborators of Maki Muto. A scholar is included among the top collaborators of Maki Muto 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 Maki Muto. Maki Muto 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.