Mathieu Peyrou
About
In The Last Decade
Mathieu Peyrou
21 papers receiving 561 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Mathieu Peyrou Switzerland | 13 | 138 | 133 | 131 | 100 | 84 | 22 | 570 | ||
| Lori Mixson United States | 15 | 39 0.3× | 75 0.6× | 191 1.5× | 139 1.4× | 98 1.2× | 26 | 700 | ||
| Jayesh B. Majithiya United Kingdom | 14 | 36 0.3× | 115 0.9× | 202 1.5× | 299 3.0× | 47 0.6× | 21 | 885 | ||
| Stuart Levin United States | 16 | 23 0.2× | 96 0.7× | 273 2.1× | 99 1.0× | 97 1.2× | 41 | 913 | ||
| Hamid Amouzadeh United States | 13 | 54 0.4× | 63 0.5× | 173 1.3× | 87 0.9× | 38 0.5× | 31 | 939 | ||
| J.W.O. van den Berg Netherlands | 22 | 121 0.9× | 42 0.3× | 328 2.5× | 269 2.7× | 25 0.3× | 52 | 1.3k | ||
| Hong Min Kim South Korea | 19 | 108 0.8× | 26 0.2× | 286 2.2× | 321 3.2× | 35 0.4× | 34 | 892 | ||
| Milinda E. James United States | 12 | 49 0.4× | 39 0.3× | 223 1.7× | 72 0.7× | 158 1.9× | 17 | 756 | ||
| Anabel García‐Heredia Spain | 19 | 15 0.1× | 104 0.8× | 175 1.3× | 103 1.0× | 57 0.7× | 40 | 752 | ||
| Tamotsu Matsuhashi Japan | 17 | 40 0.3× | 36 0.3× | 224 1.7× | 73 0.7× | 20 0.2× | 62 | 823 | ||
| Mari Kawai Japan | 15 | 21 0.2× | 68 0.5× | 252 1.9× | 75 0.8× | 56 0.7× | 26 | 926 |
Countries citing papers authored by Mathieu Peyrou
This map shows the geographic impact of Mathieu Peyrou'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 Mathieu Peyrou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathieu Peyrou more than expected).
Fields of papers citing papers by Mathieu Peyrou
This network shows the impact of papers produced by Mathieu Peyrou. 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 Mathieu Peyrou. The network helps show where Mathieu Peyrou may publish in the future.
Co-authorship network of co-authors of Mathieu Peyrou
This figure shows the co-authorship network connecting the top 25 collaborators of Mathieu Peyrou. A scholar is included among the top collaborators of Mathieu Peyrou 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 Mathieu Peyrou. Mathieu Peyrou 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.