Massimo Aria

135 papers receiving 12.3k citations

Massimo Aria's Hit Papers

Thematic Analysis as a New Culturomic Tool: The Social Media Coverage on COVID-19 Pandemic in Italy 2022 · 111 citations
1110+3+6Years since publication2.5k5.0k7.5k

Peers

Massimo Aria
Comparison fields: 5 of 237
  • Health Informatics 163
  • Marketing 790
  • Strategy and Management 1.3k
  • Management Information Systems 730
  • Tourism, Leisure and Hospitality Management 121
Replace Corrado Cuccurullo with:
Corrado Cuccurullo Italy
Manuel J. Cobo Spain
Chaomei Chen United States
Greg Guest United States
Nitesh Pandey India
José M. Merigó Spain
Sarah E. Shannon United States
Debmalya Mukherjee United States
Andy P. Field United Kingdom
Anthony J. Onwuegbuzie United States
Massimo Aria relative to Corrado Cuccurullo Italy Corrado Cuccurullo's profile →
Citations per field
00.5×8.7×
Corrado Cuccurullo · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Massimo Aria, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Massimo Aria Line = papers co-authored together Massimo Aria links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 143 papers — load more, or switch the sort, to bring in the rest.

#Work
1
bibliometrix : An R-tool for comprehensive science mapping analysis
Hit paper breakdown →
20179233
2
Mapping the Evolution of Social Research and Data Science on 30 Years of Social Indicators Research
Hit paper breakdown →
2020320
3
Foundations and trends in performance management. A twenty-five years bibliometric analysis in business and public administration domains
Hit paper breakdown →
2016275
4 2021160
5 2011156
6 2016128
7
Thematic Analysis as a New Culturomic Tool: The Social Media Coverage on COVID-19 Pandemic in Italy
Hit paper breakdown →
2022111
8 2017106
9 202099
10 201188
11 201177
12 201463
13 201063
14 202160
15 202259
16 201552
17 201352
18 201751
19 202349
20 202248

About Massimo Aria

Massimo Aria is a scholar working on Physiology, Artificial Intelligence, Sociology and Political Science, Genetics and Social Psychology, having authored 143 papers that have together received 12.7k indexed citations. Recurring topics across this work include Salivary Gland Disorders and Functions (21 papers), Human-Animal Interaction Studies (10 papers), Skin and Cellular Biology Research (9 papers), Traffic and Road Safety (8 papers), Data Mining Algorithms and Applications (8 papers), Diverse Aspects of Tourism Research (7 papers), Neural Networks and Applications (6 papers) and Machine Learning and Data Classification (5 papers). The work is most often cited by research in Health Informatics (163 citations), Marketing (790 citations), Strategy and Management (1.3k citations), Management Information Systems (730 citations) and Tourism, Leisure and Hospitality Management (121 citations). Massimo Aria has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Corrado Cuccurullo, Maria Spano, Michelangelo Misuraca, Antonio D’Ambrosio, Filomena Mauriello, Alfonso Montella, Fabrizia Sarto, Anna Scandurra, Biagio D’Aniello and Michele Davide Mignogna. Their work appears in journals such as Animal Cognition, Journal of Oral Pathology and Medicine, Journal of Oral Rehabilitation, Social Indicators Research and Accident Analysis & Prevention.

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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