Michelangelo Misuraca
- Health Informatics top 10%
- Computer Science Applications top 10%
- Online Learning and Analytics 1
- Marketing top 10%
- Management Information Systems top 10%
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- Sensory Analysis and Statistical Methods 2
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- Sentiment Analysis and Opinion Mining 2
- Advanced Text Analysis Techniques 2
- Text and Document Classification Technologies 2
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- Complex Network Analysis Techniques 2
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- scientometrics and bibliometrics research 2
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- Human Mobility and Location-Based Analysis 2
Michelangelo Misuraca
18 papers receiving 530 citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Health Informatics 12
- Computer Science Applications 30
- Marketing 45
- Management Information Systems 39
- Strategy and Management 56
Countries citing papers authored by Michelangelo Misuraca
This map shows the geographic impact of Michelangelo Misuraca'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 Michelangelo Misuraca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michelangelo Misuraca more than expected).
Fields of papers citing papers by Michelangelo Misuraca
This network shows the impact of papers produced by Michelangelo Misuraca. 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 Michelangelo Misuraca. The network helps show where Michelangelo Misuraca may publish in the future.
Co-authorship network
The 14 scholars most cited alongside Michelangelo Misuraca, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 16 | |
| 6 | Thematic Analysis as a New Culturomic Tool: The Social Media Coverage on COVID-19 Pandemic in Italybreakdown → | 2022 | 103 |
| 7 | 2022 | 16 | |
| 8 | 2022 | 7 | |
| 9 | 2022 | 5 | |
| 10 | 2021 | 31 | |
| 11 | 2020 | 14 | |
| 12 | Mapping the Evolution of Social Research and Data Science on 30 Years of Social Indicators Researchbreakdown → | 2020 | 292 |
| 13 | A BIBLIOMETRIC STUDY ON THE EVOLUTION OF CONJOINT ANALYSIS IN 1998-2017 | 2020 | 1 |
| 14 | 2020 | 1 | |
| 15 | 2019 | 17 | |
| 16 | 2018 | 31 | |
| 17 | 2018 | 15 | |
| 18 | A network approach to dimensionality reduction in Text Mining | 2018 | 1 |
| 19 | Conjoint analysis with textual external information | 2008 | 2 |
| 20 | Rotated Canonical Correlation Analysis for Multilingual Corpora | 2006 | 2 |
About Michelangelo Misuraca
Michelangelo Misuraca is a scholar working on Tourism, Leisure and Hospitality Management, General Social Sciences and Transportation, having authored 21 papers that have together received 560 indexed citations. Recurring topics across this work include Sensory Analysis and Statistical Methods (2 papers), Sentiment Analysis and Opinion Mining (2 papers), Complex Network Analysis Techniques (2 papers), Advanced Text Analysis Techniques (2 papers), scientometrics and bibliometrics research (2 papers), Text and Document Classification Technologies (2 papers), Human Mobility and Location-Based Analysis (2 papers) and Online Learning and Analytics (1 paper). The work is most often cited by research in Health Informatics (12 citations), Computer Science Applications (30 citations) and Marketing (45 citations). Michelangelo Misuraca has collaborated with scholars based in Italy, Germany and France. Frequent co-authors include Maria Spano, Massimo Aria, Luca D’Aniello, Corrado Cuccurullo, Michelangelo Puliga, Milena Lopreite, Antonio Acconcia, Marina Marino, Maria Gabriella Grassia and Thomas Köhler. Their work appears in journals such as Sustainability, International Journal of Information Management and Social Indicators Research.
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.