Benedetta Muzii

63 total papers · 666 total citations
41 papers, 429 citations indexed

About

Benedetta Muzii is a scholar working on Clinical Psychology, Experimental and Cognitive Psychology and Applied Psychology. According to data from OpenAlex, Benedetta Muzii has authored 41 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Clinical Psychology, 13 papers in Experimental and Cognitive Psychology and 12 papers in Applied Psychology. Recurrent topics in Benedetta Muzii's work include COVID-19 and Mental Health (8 papers), Digital Mental Health Interventions (8 papers) and Mental Health Research Topics (6 papers). Benedetta Muzii is often cited by papers focused on COVID-19 and Mental Health (8 papers), Digital Mental Health Interventions (8 papers) and Mental Health Research Topics (6 papers). Benedetta Muzii collaborates with scholars based in Italy, Australia and Czechia. Benedetta Muzii's co-authors include Cristiano Scandurra, Mauro Maldonato, Nelson Mauro Maldonato, Vincenzo Bochicchio, Pasquale Dolce, Donatella Di Corrado, Marinella Coco, Paolo Valerio, Paola Magnano and Gianluigi Califano and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, International Journal of Environmental Research and Public Health and Frontiers in Psychology.

In The Last Decade

Benedetta Muzii

34 papers receiving 415 citations

Author Peers

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

Author						Papers	Cites
Benedetta Muzii	157	78	69	62	61	41	429
Chiara Fioretti	114 0.7×	61 0.8×	67 1.0×	78 1.3×	42 0.7×	33	492
Tomás Blasco Blasco	69 0.4×	48 0.6×	99 1.4×	108 1.7×	38 0.6×	50	404
Muhammad Fazal Hussain Qureshi	274 1.7×	51 0.7×	105 1.5×	97 1.6×	44 0.7×	24	457
Ivan H. C. Wu	104 0.7×	34 0.4×	95 1.4×	80 1.3×	63 1.0×	25	426
Brice Canada	159 1.0×	82 1.1×	81 1.2×	50 0.8×	71 1.2×	31	430
Guang Yun Hu	178 1.1×	91 1.2×	37 0.5×	58 0.9×	62 1.0×	19	479
Sharon H. Baik	111 0.7×	57 0.7×	101 1.5×	135 2.2×	88 1.4×	20	486
Maite Martín-Aragón Gelabert	133 0.8×	43 0.6×	82 1.2×	110 1.8×	33 0.5×	34	450
Marc A. Emerson	69 0.4×	48 0.6×	64 0.9×	46 0.7×	50 0.8×	26	437
Paul D’Alton	126 0.8×	47 0.6×	120 1.7×	54 0.9×	19 0.3×	33	395

Countries citing papers authored by Benedetta Muzii

Since Specialization

Citations

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

Fields of papers citing papers by Benedetta Muzii

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benedetta Muzii

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