Gaia de Campora
About
In The Last Decade
Gaia de Campora
17 papers receiving 355 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Gaia de Campora Italy | 6 | 281 | 116 | 94 | 59 | 46 | 18 | 366 | ||
| Laura Bonalume Italy | 6 | 323 1.1× | 143 1.2× | 87 0.9× | 57 1.0× | 19 0.4× | 11 | 413 | ||
| Usha Barahmand Iran | 12 | 244 0.9× | 120 1.0× | 69 0.7× | 55 0.9× | 27 0.6× | 49 | 385 | ||
| Marie‐Lotte Van Beveren Belgium | 11 | 303 1.1× | 131 1.1× | 108 1.1× | 43 0.7× | 34 0.7× | 20 | 385 | ||
| Diego Sarracino Italy | 10 | 218 0.8× | 64 0.6× | 91 1.0× | 49 0.8× | 45 1.0× | 23 | 301 | ||
| Pamela M. Seeds Canada | 5 | 344 1.2× | 245 2.1× | 111 1.2× | 40 0.7× | 39 0.8× | 6 | 461 | ||
| Stefania Muzi Italy | 11 | 299 1.1× | 52 0.4× | 108 1.1× | 58 1.0× | 35 0.8× | 34 | 378 | ||
| Helen Pote United Kingdom | 11 | 217 0.8× | 49 0.4× | 104 1.1× | 35 0.6× | 39 0.8× | 26 | 326 | ||
| Sarah Krill Williston United States | 9 | 321 1.1× | 123 1.1× | 114 1.2× | 36 0.6× | 19 0.4× | 12 | 409 | ||
| Lori V. Turner United States | 4 | 322 1.1× | 67 0.6× | 102 1.1× | 44 0.7× | 61 1.3× | 4 | 408 | ||
| Michelle Haslam United Kingdom | 6 | 310 1.1× | 66 0.6× | 74 0.8× | 57 1.0× | 30 0.7× | 7 | 361 |
Countries citing papers authored by Gaia de Campora
This map shows the geographic impact of Gaia de Campora'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 Gaia de Campora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gaia de Campora more than expected).
Fields of papers citing papers by Gaia de Campora
This network shows the impact of papers produced by Gaia de Campora. 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 Gaia de Campora. The network helps show where Gaia de Campora may publish in the future.
Co-authorship network of co-authors of Gaia de Campora
This figure shows the co-authorship network connecting the top 25 collaborators of Gaia de Campora. A scholar is included among the top collaborators of Gaia de Campora 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 Gaia de Campora. Gaia de Campora 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.