Michelangelo Misuraca

930 total citations · 2 hit papers
21 papers, 560 citations indexed

About

Michelangelo Misuraca is a scholar working on Artificial Intelligence, Sociology and Political Science and Statistical and Nonlinear Physics. According to data from OpenAlex, Michelangelo Misuraca has authored 21 papers receiving a total of 560 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Sociology and Political Science and 3 papers in Statistical and Nonlinear Physics. Recurrent topics in Michelangelo Misuraca's work include Sensory Analysis and Statistical Methods (2 papers), Sentiment Analysis and Opinion Mining (2 papers) and Complex Network Analysis Techniques (2 papers). Michelangelo Misuraca is often cited by papers focused on Sensory Analysis and Statistical Methods (2 papers), Sentiment Analysis and Opinion Mining (2 papers) and Complex Network Analysis Techniques (2 papers). Michelangelo Misuraca collaborates with scholars based in Italy, Germany and France. Michelangelo Misuraca's 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 and has published in prestigious journals such as Sustainability, International Journal of Information Management and Social Indicators Research.

In The Last Decade

Michelangelo Misuraca

18 papers receiving 530 citations

Hit Papers

Mapping the Evolution of Social Research and Data Science... 2020 2026 2022 2024 2020 2022 50 100 150 200 250

Peers

Michelangelo Misuraca
Tay Keong Tan United States
Gali Halevi United States
Klaus Schwab Switzerland
Tay Keong Tan United States
Michelangelo Misuraca
Citations per year, relative to Michelangelo Misuraca Michelangelo Misuraca (= 1×) peers Tay Keong Tan

Countries citing papers authored by Michelangelo Misuraca

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Michelangelo Misuraca

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

All Works

20 of 20 papers shown
1.
Giordano, Giuseppe, et al.. (2025). Evaluating the speed of citation in scientific journals: A survival analysis-based approach. Journal of Informetrics. 19(3). 101714–101714.
2.
Misuraca, Michelangelo, et al.. (2024). E-wom and territorial analyses: the use of opinion mining in tourism. Zenodo (CERN European Organization for Nuclear Research). 33(1). 79–99.
3.
Lopreite, Milena, Michelangelo Misuraca, & Michelangelo Puliga. (2024). Outbreak and integration of social media in public health surveillance systems: A policy review through BERT embedding technique. Socio-Economic Planning Sciences. 95. 101995–101995. 1 indexed citations
4.
Aria, Massimo, Corrado Cuccurullo, Luca D’Aniello, Michelangelo Misuraca, & Maria Spano. (2024). Comparative science mapping: a novel conceptual structure analysis with metadata. Scientometrics. 129(11). 7055–7081. 2 indexed citations
5.
Lopreite, Milena, Michelangelo Misuraca, & Michelangelo Puliga. (2023). An analysis of the thematic evolution of ageing and healthcare expenditure using word embedding: A scoping review of policy implications. Socio-Economic Planning Sciences. 87. 101600–101600. 16 indexed citations
6.
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 →
7.
Grassia, Maria Gabriella, et al.. (2022). Regional Competitiveness: A Structural-Based Topic Analysis on Recent Literature. Social Indicators Research. 173(1). 83–108. 16 indexed citations
8.
Nito, Ernesto De, et al.. (2022). E-learning experiences in tertiary education: patterns and trends in research over the last 20 years. Studies in Higher Education. 48(4). 595–615. 7 indexed citations
9.
Mattera, Raffaele, et al.. (2022). Mixed frequency composite indicators for measuring public sentiment in the EU. Quality & Quantity. 57(3). 2357–2382. 5 indexed citations
10.
Misuraca, Michelangelo, et al.. (2021). Using Opinion Mining as an educational analytic: An integrated strategy for the analysis of students’ feedback. Studies In Educational Evaluation. 68. 100979–100979. 31 indexed citations
11.
Acconcia, Antonio, et al.. (2020). Measuring Vulnerability to Poverty with Latent Transition Analysis. Social Indicators Research. 151(1). 1–31. 14 indexed citations
12.
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 →
13.
Misuraca, Michelangelo, et al.. (2020). A BIBLIOMETRIC STUDY ON THE EVOLUTION OF CONJOINT ANALYSIS IN 1998-2017. 32(1). 9–27. 1 indexed citations
14.
Mayaffre, Damon, et al.. (2020). Text Analytics. SPIRE - Sciences Po Institutional REpository. 1 indexed citations
15.
Misuraca, Michelangelo, et al.. (2019). A network-based concept extraction for managing customer requests in a social media care context. International Journal of Information Management. 51. 101956–101956. 17 indexed citations
16.
Misuraca, Michelangelo, et al.. (2018). Combining different evaluation systems on social media for measuring user satisfaction. Information Processing & Management. 54(4). 674–685. 31 indexed citations
17.
Misuraca, Michelangelo, et al.. (2018). BMS: An improved Dunn index for Document Clustering validation. Communication in Statistics- Theory and Methods. 48(20). 5036–5049. 15 indexed citations
18.
Misuraca, Michelangelo, et al.. (2018). A network approach to dimensionality reduction in Text Mining. 1 indexed citations
19.
Misuraca, Michelangelo, et al.. (2008). Conjoint analysis with textual external information. 1. 129–136. 2 indexed citations
20.
Misuraca, Michelangelo, et al.. (2006). Rotated Canonical Correlation Analysis for Multilingual Corpora. 2 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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