Mercedes Perullini
About
In The Last Decade
Mercedes Perullini
44 papers receiving 906 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Mercedes Perullini Argentina | 20 | 245 | 208 | 189 | 180 | 175 | 44 | 919 | ||
| Jiaxuan Li China | 19 | 178 0.7× | 162 0.8× | 149 0.8× | 153 0.8× | 93 0.5× | 56 | 973 | ||
| Nguyễn Quốc Hiến Vietnam | 23 | 353 1.4× | 307 1.5× | 88 0.5× | 186 1.0× | 120 0.7× | 82 | 1.3k | ||
| Alexandre Urbano Brazil | 18 | 299 1.2× | 151 0.7× | 147 0.8× | 68 0.4× | 112 0.6× | 65 | 1.1k | ||
| A.R. Hernández-Martínez Mexico | 20 | 136 0.6× | 213 1.0× | 160 0.8× | 58 0.3× | 209 1.2× | 51 | 1.0k | ||
| Md Ashaduzzaman Bangladesh | 14 | 208 0.8× | 241 1.2× | 94 0.5× | 70 0.4× | 132 0.8× | 43 | 1.1k | ||
| Rameshthangam Palanivel India | 19 | 162 0.7× | 169 0.8× | 60 0.3× | 169 0.9× | 87 0.5× | 39 | 1.1k | ||
| Mahiran Basri Malaysia | 18 | 146 0.6× | 188 0.9× | 168 0.9× | 248 1.4× | 176 1.0× | 41 | 1.2k | ||
| Massimo Bagnani Switzerland | 17 | 314 1.3× | 116 0.6× | 240 1.3× | 162 0.9× | 30 0.2× | 27 | 936 | ||
| Dong An China | 13 | 155 0.6× | 99 0.5× | 161 0.9× | 134 0.7× | 126 0.7× | 35 | 682 |
Countries citing papers authored by Mercedes Perullini
This map shows the geographic impact of Mercedes Perullini'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 Mercedes Perullini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mercedes Perullini more than expected).
Fields of papers citing papers by Mercedes Perullini
This network shows the impact of papers produced by Mercedes Perullini. 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 Mercedes Perullini. The network helps show where Mercedes Perullini may publish in the future.
Co-authorship network of co-authors of Mercedes Perullini
This figure shows the co-authorship network connecting the top 25 collaborators of Mercedes Perullini. A scholar is included among the top collaborators of Mercedes Perullini 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 Mercedes Perullini. Mercedes Perullini 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.