Massimo Airoldi
About
In The Last Decade
Massimo Airoldi
13 papers receiving 349 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Massimo Airoldi Italy | 8 | 220 | 112 | 53 | 31 | 29 | 19 | 368 | ||
| Fredrik Stiernstedt Sweden | 9 | 183 0.8× | 140 1.3× | 19 0.4× | 17 0.5× | 44 1.5× | 44 | 353 | ||
| Lucy Bennett United Kingdom | 11 | 202 0.9× | 163 1.5× | 15 0.3× | 41 1.3× | 92 3.2× | 36 | 417 | ||
| Steven McClung United States | 10 | 248 1.1× | 258 2.3× | 93 1.8× | 19 0.6× | 28 1.0× | 19 | 531 | ||
| Marc Esteve Del Valle Netherlands | 12 | 250 1.1× | 251 2.2× | 16 0.3× | 20 0.6× | 26 0.9× | 34 | 463 | ||
| Juliano Spyer United Kingdom | 6 | 220 1.0× | 129 1.2× | 12 0.2× | 7 0.2× | 48 1.7× | 10 | 404 | ||
| Caitlin Petre United States | 7 | 188 0.9× | 157 1.4× | 19 0.4× | 4 0.1× | 34 1.2× | 9 | 340 | ||
| Manuel Cuadrado García Spain | 7 | 100 0.5× | 18 0.2× | 57 1.1× | 16 0.5× | 29 1.0× | 37 | 273 | ||
| Diana Zulli United States | 7 | 307 1.4× | 172 1.5× | 26 0.5× | 12 0.4× | 95 3.3× | 18 | 508 | ||
| Ganaele Langlois Canada | 10 | 215 1.0× | 171 1.5× | 28 0.5× | 4 0.1× | 56 1.9× | 21 | 397 | ||
| Clark F. Greer United States | 11 | 221 1.0× | 293 2.6× | 32 0.6× | 9 0.3× | 37 1.3× | 24 | 458 |
Countries citing papers authored by Massimo Airoldi
This map shows the geographic impact of Massimo Airoldi'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 Massimo Airoldi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massimo Airoldi more than expected).
Fields of papers citing papers by Massimo Airoldi
This network shows the impact of papers produced by Massimo Airoldi. 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 Massimo Airoldi. The network helps show where Massimo Airoldi may publish in the future.
Co-authorship network of co-authors of Massimo Airoldi
This figure shows the co-authorship network connecting the top 25 collaborators of Massimo Airoldi. A scholar is included among the top collaborators of Massimo Airoldi 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 Massimo Airoldi. Massimo Airoldi 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.