Massimo Maurici

154 total papers · 938 total citations
72 papers, 602 citations indexed

About

Massimo Maurici is a scholar working on General Health Professions, Epidemiology and Economics and Econometrics. According to data from OpenAlex, Massimo Maurici has authored 72 papers receiving a total of 602 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in General Health Professions, 18 papers in Epidemiology and 12 papers in Economics and Econometrics. Recurrent topics in Massimo Maurici's work include Health Systems, Economic Evaluations, Quality of Life (9 papers), Healthcare Policy and Management (6 papers) and Emergency and Acute Care Studies (6 papers). Massimo Maurici is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (9 papers), Healthcare Policy and Management (6 papers) and Emergency and Acute Care Studies (6 papers). Massimo Maurici collaborates with scholars based in Italy, United States and Poland. Massimo Maurici's co-authors include Rosaria Alvaro, Ercole Vellone, Elisabetta Franco, Fabio D’Agostino, Antonello Cocchieri, John Welton, Gianfranco Sanson, Maurizio Zega, Giampiera Bulfone and Sergio Bernardini and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Sensors.

In The Last Decade

Massimo Maurici

64 papers receiving 590 citations

Author Peers

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

Author						Papers	Cites
Massimo Maurici	145	130	114	98	61	72	602
Prisca Olabisi Adejumo	77 0.5×	80 0.6×	39 0.3×	111 1.1×	37 0.6×	56	555
Tebogo Maria Mothiba	216 1.5×	68 0.5×	23 0.2×	66 0.7×	23 0.4×	91	509
Lívia Moreira Barros	133 0.9×	37 0.3×	72 0.6×	30 0.3×	23 0.4×	108	564
Elaine Maria Leite Rangel Andrade	191 1.3×	47 0.4×	21 0.2×	58 0.6×	39 0.6×	109	610
Rosely Moralez de Figueiredo	192 1.3×	60 0.5×	25 0.2×	268 2.7×	21 0.3×	81	593
Ana Maria Ribeiro dos Santos	188 1.3×	39 0.3×	29 0.3×	25 0.3×	62 1.0×	108	623
Fábio de Souza Terra	280 1.9×	31 0.2×	38 0.3×	55 0.6×	61 1.0×	120	661
Gilmara Holanda da Cunha	213 1.5×	85 0.7×	29 0.3×	242 2.5×	32 0.5×	78	554
Lídya Tolstenko Nogueira	257 1.8×	56 0.4×	15 0.1×	120 1.2×	36 0.6×	92	677
Lucilane Maria Sales da Silva	299 2.1×	27 0.2×	43 0.4×	60 0.6×	19 0.3×	109	574

Countries citing papers authored by Massimo Maurici

Since Specialization

Citations

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

Fields of papers citing papers by Massimo Maurici

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Massimo Maurici

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