Gaja Maestri

51 total papers · 488 total citations
17 papers, 256 citations indexed

About

Gaja Maestri is a scholar working on General Health Professions, Sociology and Political Science and Political Science and International Relations. According to data from OpenAlex, Gaja Maestri has authored 17 papers receiving a total of 256 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in General Health Professions, 10 papers in Sociology and Political Science and 3 papers in Political Science and International Relations. Recurrent topics in Gaja Maestri's work include Migration, Refugees, and Integration (9 papers), Romani and Gypsy Studies (8 papers) and Migration, Health and Trauma (3 papers). Gaja Maestri is often cited by papers focused on Migration, Refugees, and Integration (9 papers), Romani and Gypsy Studies (8 papers) and Migration, Health and Trauma (3 papers). Gaja Maestri collaborates with scholars based in United Kingdom, France and Russia. Gaja Maestri's co-authors include Pierre Monforte, Sarah M. Hughes, Estelle d’Halluin, Gary Fooks, Ben Anderson, Julia Heslop, Helen F. Wilson, Pam Lowe and Emma Ormerod and has published in prestigious journals such as Sociology, Transactions of the Institute of British Geographers and International Journal of Urban and Regional Research.

In The Last Decade

Gaja Maestri

15 papers receiving 233 citations

Author Peers

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

Author						Papers	Cites
Gaja Maestri	165	82	57	48	31	17	256
Elizabeth Brown	182 1.1×	74 0.9×	30 0.5×	46 1.0×	59 1.9×	14	262
Austin Kocher	233 1.4×	45 0.5×	88 1.5×	64 1.3×	16 0.5×	13	284
Marie Macey	206 1.2×	67 0.8×	24 0.4×	61 1.3×	14 0.5×	17	286
Thomas Wimark	222 1.3×	56 0.7×	31 0.5×	21 0.4×	46 1.5×	22	300
Elena Fontanari	246 1.5×	45 0.5×	108 1.9×	60 1.3×	15 0.5×	20	287
Ronald Lawson	188 1.1×	27 0.3×	46 0.8×	33 0.7×	19 0.6×	28	275
Dana Cuomo	197 1.2×	30 0.4×	37 0.6×	38 0.8×	14 0.5×	18	293
Michel Peillon	124 0.8×	40 0.5×	15 0.3×	67 1.4×	17 0.5×	19	211
Ulrike Hamann	138 0.8×	31 0.4×	38 0.7×	42 0.9×	26 0.8×	11	198
Isabelle Coûtant	258 1.6×	76 0.9×	27 0.5×	77 1.6×	60 1.9×	21	309

Countries citing papers authored by Gaja Maestri

Since Specialization

Citations

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

Fields of papers citing papers by Gaja Maestri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaja Maestri

This figure shows the co-authorship network connecting the top 25 collaborators of Gaja Maestri. A scholar is included among the top collaborators of Gaja Maestri 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 Gaja Maestri. Gaja Maestri 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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