Georgia Casanova

55 total papers · 596 total citations
37 papers, 345 citations indexed

About

Georgia Casanova is a scholar working on Sociology and Political Science, Demography and Health. According to data from OpenAlex, Georgia Casanova has authored 37 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Sociology and Political Science, 18 papers in Demography and 15 papers in Health. Recurrent topics in Georgia Casanova's work include Intergenerational Family Dynamics and Caregiving (15 papers), Health disparities and outcomes (15 papers) and Migration, Aging, and Tourism Studies (11 papers). Georgia Casanova is often cited by papers focused on Intergenerational Family Dynamics and Caregiving (15 papers), Health disparities and outcomes (15 papers) and Migration, Aging, and Tourism Studies (11 papers). Georgia Casanova collaborates with scholars based in Italy, Spain and Switzerland. Georgia Casanova's co-authors include Giovanni Lamura, E Rolandi, Antonio Guaita, Andrea Principi, Daniele Zaccaria, M. Colombo, Roberta Vaccaro, Aviad Tur‐Sinai, Roberto Lillini and Tamara Alhambra‐Borrás and has published in prestigious journals such as PLoS ONE, International Journal of Environmental Research and Public Health and Journal of Medical Internet Research.

In The Last Decade

Georgia Casanova

35 papers receiving 340 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Georgia Casanova	163	152	141	127	45	37	345
BoRin Kim	180 1.1×	116 0.8×	138 1.0×	130 1.0×	30 0.7×	39	346
Yuanyang Wu	151 0.9×	136 0.9×	137 1.0×	71 0.6×	36 0.8×	39	355
Alice Delerue Matos	143 0.9×	105 0.7×	93 0.7×	89 0.7×	47 1.0×	31	322
Sofie Van Regenmortel	186 1.1×	111 0.7×	135 1.0×	140 1.1×	63 1.4×	25	356
Lin Xie	133 0.8×	132 0.9×	136 1.0×	52 0.4×	34 0.8×	24	320
Hualei Yang	155 1.0×	162 1.1×	161 1.1×	78 0.6×	34 0.8×	45	401
Margaret Ralston	171 1.0×	79 0.5×	187 1.3×	147 1.2×	32 0.7×	21	386
Suzanne Dupuis‐Blanchard	104 0.6×	127 0.8×	91 0.6×	211 1.7×	78 1.7×	32	372
Nekehia T. Quashie	147 0.9×	73 0.5×	170 1.2×	108 0.9×	15 0.3×	36	296
Brendan Stevenson	192 1.2×	81 0.5×	100 0.7×	128 1.0×	63 1.4×	22	369

Countries citing papers authored by Georgia Casanova

Since Specialization

Citations

This map shows the geographic impact of Georgia Casanova'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 Georgia Casanova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Georgia Casanova more than expected).

Fields of papers citing papers by Georgia Casanova

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Georgia Casanova. 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 Georgia Casanova. The network helps show where Georgia Casanova may publish in the future.

Co-authorship network of co-authors of Georgia Casanova

This figure shows the co-authorship network connecting the top 25 collaborators of Georgia Casanova. A scholar is included among the top collaborators of Georgia Casanova 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 Georgia Casanova. Georgia Casanova is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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.

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