Mario Arioli
About
In The Last Decade
Mario Arioli
18 papers receiving 251 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Mario Arioli United Kingdom | 11 | 207 | 148 | 137 | 51 | 31 | 18 | 294 | ||
| Petr Tichý Czechia | 9 | 209 1.0× | 107 0.7× | 135 1.0× | 80 1.6× | 15 0.5× | 26 | 294 | ||
| Shuzi Zhou China | 12 | 211 1.0× | 253 1.7× | 130 0.9× | 19 0.4× | 38 1.2× | 34 | 431 | ||
| David Evans United Kingdom | 9 | 111 0.5× | 116 0.8× | 84 0.6× | 94 1.8× | 26 0.8× | 29 | 293 | ||
| Gunhild Lindskog Sweden | 5 | 323 1.6× | 136 0.9× | 213 1.6× | 137 2.7× | 58 1.9× | 11 | 423 | ||
| Cristina Tablino–Possio Italy | 8 | 234 1.1× | 114 0.8× | 127 0.9× | 96 1.9× | 16 0.5× | 38 | 305 | ||
| Rafikul Alam India | 11 | 226 1.1× | 142 1.0× | 36 0.3× | 62 1.2× | 25 0.8× | 28 | 274 | ||
| Kang C. Jea United States | 4 | 223 1.1× | 141 1.0× | 129 0.9× | 89 1.7× | 20 0.6× | 6 | 292 | ||
| Bor Plestenjak Slovenia | 13 | 280 1.4× | 202 1.4× | 52 0.4× | 57 1.1× | 60 1.9× | 44 | 404 | ||
| Beong In Yun South Korea | 11 | 88 0.4× | 175 1.2× | 56 0.4× | 57 1.1× | 64 2.1× | 45 | 359 | ||
| Tiexiang Li China | 9 | 112 0.5× | 52 0.4× | 79 0.6× | 51 1.0× | 22 0.7× | 51 | 261 |
Countries citing papers authored by Mario Arioli
This map shows the geographic impact of Mario Arioli'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 Mario Arioli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Arioli more than expected).
Fields of papers citing papers by Mario Arioli
This network shows the impact of papers produced by Mario Arioli. 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 Mario Arioli. The network helps show where Mario Arioli may publish in the future.
Co-authorship network of co-authors of Mario Arioli
This figure shows the co-authorship network connecting the top 25 collaborators of Mario Arioli. A scholar is included among the top collaborators of Mario Arioli 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 Mario Arioli. Mario Arioli 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.