Maria Ricci

61 total papers · 521 total citations
41 papers, 360 citations indexed

About

Maria Ricci is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Psychiatry and Mental health. According to data from OpenAlex, Maria Ricci has authored 41 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Pulmonary and Respiratory Medicine and 9 papers in Psychiatry and Mental health. Recurrent topics in Maria Ricci's work include Dementia and Cognitive Impairment Research (7 papers), Medical Imaging Techniques and Applications (7 papers) and Alzheimer's disease research and treatments (6 papers). Maria Ricci is often cited by papers focused on Dementia and Cognitive Impairment Research (7 papers), Medical Imaging Techniques and Applications (7 papers) and Alzheimer's disease research and treatments (6 papers). Maria Ricci collaborates with scholars based in Italy, Switzerland and Brazil. Maria Ricci's co-authors include Agostino Chiaravalloti, Orazio Schillaci, Viviana Frantellizzi, Luca Filippi, Giuseppe De Vincentis, Francesco Fattapposta, Arianna Pani, Nicoletta Locuratolo, Gaetano Barbagallo and Francesco Ursini and has published in prestigious journals such as Brain Research, International Journal of Molecular Sciences and BioMed Research International.

In The Last Decade

Maria Ricci

38 papers receiving 353 citations

Author Peers

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

Author Last Decade Papers Cites
Maria Ricci 119 80 69 67 52 41 360
Yangyang Wang 66 0.6× 94 1.2× 23 0.3× 66 1.0× 30 0.6× 40 404
Özgül Ekmekçioğlu 153 1.3× 63 0.8× 32 0.5× 41 0.6× 36 0.7× 25 312
S. Ali Nabavizadeh 63 0.5× 33 0.4× 26 0.4× 44 0.7× 49 0.9× 25 379
Shuo Gao 56 0.5× 42 0.5× 102 1.5× 69 1.0× 16 0.3× 27 366
M. de Arcocha-Torres 112 0.9× 199 2.5× 102 1.5× 58 0.9× 31 0.6× 39 371
Ju Won Seok 86 0.7× 63 0.8× 29 0.4× 27 0.4× 32 0.6× 45 392
Xuan Sun 40 0.3× 71 0.9× 27 0.4× 41 0.6× 77 1.5× 30 394
Anna‐Laura Potthoff 39 0.3× 123 1.5× 23 0.3× 44 0.7× 70 1.3× 47 396
Hyug‐Gi Kim 147 1.2× 46 0.6× 75 1.1× 49 0.7× 15 0.3× 41 380
Mark Bitsch Vestergaard 190 1.6× 65 0.8× 52 0.8× 25 0.4× 10 0.2× 31 396

Countries citing papers authored by Maria Ricci

Since Specialization
Citations

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

Fields of papers citing papers by Maria Ricci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Ricci

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Ricci. A scholar is included among the top collaborators of Maria Ricci 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 Maria Ricci. Maria Ricci 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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2026