Michelangelo Vianello

8.0k total citations
72 papers, 1.1k citations indexed

About

Michelangelo Vianello is a scholar working on Computational Mechanics, Social Psychology and Sociology and Political Science. According to data from OpenAlex, Michelangelo Vianello has authored 72 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computational Mechanics, 16 papers in Social Psychology and 15 papers in Sociology and Political Science. Recurrent topics in Michelangelo Vianello's work include Workplace Spirituality and Leadership (15 papers), Social and Intergroup Psychology (14 papers) and Job Satisfaction and Organizational Behavior (13 papers). Michelangelo Vianello is often cited by papers focused on Workplace Spirituality and Leadership (15 papers), Social and Intergroup Psychology (14 papers) and Job Satisfaction and Organizational Behavior (13 papers). Michelangelo Vianello collaborates with scholars based in Italy, United States and Israel. Michelangelo Vianello's co-authors include Alvise Sommariva, Anna Dalla Rosa, Pasquale Anselmi, Elisa Maria Galliani, Yoav Bar‐Anan, Brian A. Nosek, Len Bos, Egidio Robusto, Jonathan Haidt and Stefano De Marchı and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Mathematics of Computation.

In The Last Decade

Michelangelo Vianello

64 papers receiving 1.1k citations

Peers

Michelangelo Vianello
Comparison fields: 5 of 118
  • Social Psychology 259
  • Computational Mechanics 233
  • Sociology and Political Science 231
  • Demography 189
  • Organizational Behavior and Human Resource Management 156
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Citations per field, relative to Michelangelo Vianello
Michelangelo Vianello · 1×
Citations per year, relative to Michelangelo Vianello
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Countries citing papers authored by Michelangelo Vianello

Since Specialization
Citations

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

Fields of papers citing papers by Michelangelo Vianello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelangelo Vianello

This figure shows the co-authorship network connecting the top 25 collaborators of Michelangelo Vianello. A scholar is included among the top collaborators of Michelangelo Vianello 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 Vianello. Michelangelo Vianello 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
# Work Indexed citations
1 0
2 1
3 3
4 3
5 1
6 0
7 0
8 5
9 23
10 8
11 5
12 6
13 10
14 43
15 26
16 9
17 23
18
Bivariate interpolation at Xu points: results, extensions and applications.
10
19 43
20 6

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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