Massimo Aria

18.1k total citations · 4 hit papers
128 papers, 11.3k citations indexed

About

Massimo Aria is a scholar working on Physiology, Sociology and Political Science and Genetics. According to data from OpenAlex, Massimo Aria has authored 128 papers receiving a total of 11.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Physiology, 13 papers in Sociology and Political Science and 12 papers in Genetics. Recurrent topics in Massimo Aria's work include Salivary Gland Disorders and Functions (23 papers), Autoimmune Bullous Skin Diseases (10 papers) and Human-Animal Interaction Studies (10 papers). Massimo Aria is often cited by papers focused on Salivary Gland Disorders and Functions (23 papers), Autoimmune Bullous Skin Diseases (10 papers) and Human-Animal Interaction Studies (10 papers). Massimo Aria collaborates with scholars based in Italy, United States and United Kingdom. Massimo Aria's co-authors include Corrado Cuccurullo, Maria Spano, Michelangelo Misuraca, Antonio D’Ambrosio, Alfonso Montella, Filomena Mauriello, Anna Scandurra, Biagio D’Aniello, Fabrizia Sarto and Michele Davide Mignogna and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Comparative Neurology and Scientific Reports.

In The Last Decade

Massimo Aria

123 papers receiving 10.9k citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

bibliometrix : An R-tool for comprehensive science mapping analysis

2017 8.2k citations Massimo Aria, Corrado Cuccurullo profile →
Mapping the Evolution of Social Research and Data Science on 30 Years of Social Indicators Research

2020 292 citations Massimo Aria, Michelangelo Misuraca et al. Social Indicators Research profile →
Foundations and trends in performance management. A twenty-five years bibliometric analysis in business and public administration domains

2016 250 citations Corrado Cuccurullo, Massimo Aria et al. profile →
Thematic Analysis as a New Culturomic Tool: The Social Media Coverage on COVID-19 Pandemic in Italy

2022 103 citations Massimo Aria, Corrado Cuccurullo et al. Sustainability profile →

Author Peers

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

Author						Papers	Cites
Massimo Aria	1.3k	1.2k	938	724	670	128	11.3k
Corrado Cuccurullo	1.1k 0.8×	1.1k 0.9×	884 0.9×	665 0.9×	614 0.9×	24	9.0k
Manuel J. Cobo	1.4k 1.1×	1.5k 1.2×	825 0.9×	807 1.1×	859 1.3×	108	9.6k
Nitesh Pandey	1.8k 1.4×	1.6k 1.4×	1.1k 1.2×	1.3k 1.8×	718 1.1×	66	9.6k
Wei Zhang	1.1k 0.8×	1.0k 0.8×	943 1.0×	651 0.9×	301 0.4×	318	6.3k
Debmalya Mukherjee	1.5k 1.1×	2.5k 2.1×	1.1k 1.2×	1.1k 1.5×	718 1.1×	54	10.1k
Hannah Snyder	1.4k 1.0×	1.1k 0.9×	468 0.5×	1.4k 1.9×	439 0.7×	29	6.7k
A.G. López‐Herrera	886 0.7×	930 0.8×	466 0.5×	555 0.8×	636 0.9×	41	6.0k
Simon Phelan	2.7k 2.1×	2.3k 1.9×	674 0.7×	802 1.1×	804 1.2×	9	12.5k
Tan Yiğitcanlar	1.6k 1.2×	881 0.7×	1.7k 1.8×	781 1.1×	694 1.0×	443	14.6k
Elsevier Sdol	988 0.8×	503 0.4×	880 0.9×	399 0.6×	412 0.6×	113	12.9k

Countries citing papers authored by Massimo Aria

Since Specialization

Citations

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

Fields of papers citing papers by Massimo Aria

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Massimo Aria

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

All Works

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20 of 20 papers shown

Canfora, Federica, Vito Carlo Alberto Caponio, Emmanouil Vardas, et al.. (2025). Oral Dysaesthetic and Perceptual Disorder, A Distinct Subset of Chronic Orofacial Pain Without Burning Symptoms: A Case–Control Study. Journal of Oral Rehabilitation. 52(5). 651–666. 4 indexed citations

Canfora, Federica, Elena Calabria, Giuseppe Pecoraro, et al.. (2023). Prevalence of hypertension and correlation with mental health in women with burning mouth syndrome: A case-control study. Frontiers in Cardiovascular Medicine. 9. 969148–969148. 4 indexed citations

Adamo, Daniela, Giulia Ottaviani, Federica Canfora, et al.. (2023). Loneliness during the COVID-19 Pandemic in Patients with Burning Mouth Syndrome: A Multicentric Case-Control Italian Study. Depression and Anxiety. 2023. 1–18. 1 indexed citations

Aria, Massimo, et al.. (2023). Systematic literature review of 10 years of cyclist safety research. Accident Analysis & Prevention. 184. 106996–106996. 46 indexed citations

D’Aniello, Biagio, et al.. (2023). When are puppies receptive to emotion-induced human chemosignals? The cases of fear and happiness. Animal Cognition. 26(4). 1241–1250. 6 indexed citations

Canfora, Federica, Elena Calabria, Giuseppe Pecoraro, et al.. (2022). The use of self‐report questionnaires in an analysis of the multidimensional aspects of pain and a correlation with the psychological profile and quality of life in patients with burning mouth syndrome: A case‐control study. Journal of Oral Rehabilitation. 49(9). 890–914. 22 indexed citations

Aria, Massimo, Corrado Cuccurullo, Luca D’Aniello, Michelangelo Misuraca, & Maria Spano. (2022). Thematic Analysis as a New Culturomic Tool: The Social Media Coverage on COVID-19 Pandemic in Italy. Sustainability. 14(6). 3643–3643. 103 indexed citations breakdown →

Pinelli, Claudia, et al.. (2022). Puppies in the problem-solving paradigm: quick males and social females. Animal Cognition. 26(3). 791–797. 1 indexed citations

Gasparro, Roberta, Elena Calabria, Noemi Coppola, et al.. (2021). Sleep Disorders and Psychological Profile in Oral Cancer Survivors: A Case-Control Clinical Study. Cancers. 13(8). 1855–1855. 10 indexed citations

10.

Calabria, Elena, Daniela Adamo, Stefania Leuci, et al.. (2020). The health‐related quality of life and psychological profile in patients with oropharyngeal Pemphigus Vulgaris in complete clinical remission: A case‐control study. Journal of Oral Pathology and Medicine. 50(5). 510–519. 12 indexed citations

11.

Aria, Massimo, et al.. (2020). Measuring Disparities in Access to Health Care: A Proposal Based on an Ex-ante Perspective. Social Indicators Research. 150(2). 549–568. 5 indexed citations

12.

Aria, Massimo, Alessandra Alterisio, Anna Scandurra, Claudia Pinelli, & Biagio D’Aniello. (2020). The scholar’s best friend: research trends in dog cognitive and behavioral studies. Animal Cognition. 24(3). 541–553. 93 indexed citations

13.

Maselli, Valeria, et al.. (2020). Sensorial Hierarchy in Octopus vulgaris’s Food Choice: Chemical vs. Visual. Animals. 10(3). 457–457. 31 indexed citations

14.

Aria, Massimo, Michelangelo Misuraca, & Maria Spano. (2020). Mapping the Evolution of Social Research and Data Science on 30 Years of Social Indicators Research. Social Indicators Research. 149(3). 803–831. 292 indexed citations breakdown →

15.

Aria, Massimo, et al.. (2019). Informative trees by visual pruning. Expert Systems with Applications. 127. 228–240. 12 indexed citations

16.

Gelo, Omar Carlo Gioacchino, et al.. (2019). Correction to: Which Methodological Practice(s) for Psychotherapy Science? A Systematic Review and a Proposal. Integrative Psychological and Behavioral Science. 54(1). 249–250. 4 indexed citations

17.

Gelo, Omar Carlo Gioacchino, et al.. (2019). Which Methodological Practice(s) for Psychotherapy Science? A Systematic Review and a Proposal. Integrative Psychological and Behavioral Science. 54(1). 215–248. 10 indexed citations

18.

Aria, Massimo, et al.. (2018). Dynamic recursive tree-based partitioning for malignant melanoma identification in skin lesion dermoscopic images. Statistical Papers. 61(4). 1645–1661. 4 indexed citations

19.

D’Aniello, Biagio, Gün R. Semin, Alessandra Alterisio, Massimo Aria, & Anna Scandurra. (2017). Interspecies transmission of emotional information via chemosignals: from humans to dogs (Canis lupus familiaris). Animal Cognition. 21(1). 67–78. 93 indexed citations

20.

Fortuna, Giulio, Francina Lozada‐Nur, Annamaria Pollio, et al.. (2013). Patterns of oral mucosa lesions in patients with epidermolysis bullosa: comparison and agreement between oral medicine and dermatology. Journal of Oral Pathology and Medicine. 42(10). 733–740. 13 indexed citations

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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