Maia Carnevali
About
In The Last Decade
Maia Carnevali
10 papers receiving 354 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Maia Carnevali United States | 8 | 200 | 83 | 57 | 48 | 35 | 10 | 358 | ||
| Sean P. Gunsten United States | 14 | 253 1.3× | 53 0.6× | 69 1.2× | 36 0.8× | 11 0.3× | 21 | 725 | ||
| Jishan Quan China | 13 | 262 1.3× | 49 0.6× | 69 1.2× | 16 0.3× | 6 0.2× | 21 | 474 | ||
| Stefano Elli Italy | 14 | 256 1.3× | 194 2.3× | 46 0.8× | 115 2.4× | 6 0.2× | 39 | 683 | ||
| Michael A. Gelman United States | 6 | 340 1.7× | 189 2.3× | 23 0.4× | 17 0.4× | 12 0.3× | 7 | 490 | ||
| Martine Appel France | 14 | 241 1.2× | 79 1.0× | 118 2.1× | 61 1.3× | 8 0.2× | 17 | 633 | ||
| Irfan Khan United States | 11 | 385 1.9× | 272 3.3× | 77 1.4× | 36 0.8× | 7 0.2× | 25 | 544 | ||
| Estelle J. A. Suys Australia | 10 | 472 2.4× | 42 0.5× | 133 2.3× | 60 1.3× | 16 0.5× | 10 | 811 | ||
| Manakamana Khanal France | 11 | 153 0.8× | 61 0.7× | 114 2.0× | 107 2.2× | 4 0.1× | 15 | 455 | ||
| Mohammad Ariful Islam South Korea | 15 | 402 2.0× | 28 0.3× | 58 1.0× | 22 0.5× | 11 0.3× | 25 | 624 | ||
| Marina Santiago Franco Brazil | 13 | 239 1.2× | 38 0.5× | 161 2.8× | 33 0.7× | 19 0.5× | 25 | 516 |
Countries citing papers authored by Maia Carnevali
This map shows the geographic impact of Maia Carnevali'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 Maia Carnevali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maia Carnevali more than expected).
Fields of papers citing papers by Maia Carnevali
This network shows the impact of papers produced by Maia Carnevali. 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 Maia Carnevali. The network helps show where Maia Carnevali may publish in the future.
Co-authorship network of co-authors of Maia Carnevali
This figure shows the co-authorship network connecting the top 25 collaborators of Maia Carnevali. A scholar is included among the top collaborators of Maia Carnevali 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 Maia Carnevali. Maia Carnevali 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.