Nicola Barbieri

1.4k total citations
29 papers, 823 citations indexed

About

Nicola Barbieri is a scholar working on Information Systems, Statistical and Nonlinear Physics and Artificial Intelligence. According to data from OpenAlex, Nicola Barbieri has authored 29 papers receiving a total of 823 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Information Systems, 12 papers in Statistical and Nonlinear Physics and 5 papers in Artificial Intelligence. Recurrent topics in Nicola Barbieri's work include Complex Network Analysis Techniques (12 papers), Recommender Systems and Techniques (12 papers) and Opinion Dynamics and Social Influence (7 papers). Nicola Barbieri is often cited by papers focused on Complex Network Analysis Techniques (12 papers), Recommender Systems and Techniques (12 papers) and Opinion Dynamics and Social Influence (7 papers). Nicola Barbieri collaborates with scholars based in Spain, Italy and United Kingdom. Nicola Barbieri's co-authors include Francesco Bonchi, Giuseppe Manco, Francesco Gullo, Ettore Ritacco, Ricardo Baeza‐Yates, Çiğdem Aslay, Fabrizio Silvestri, Mounia Lalmas, Riccardo Ortale and Fidel Cacheda and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Machine Learning and Data Mining and Knowledge Discovery.

In The Last Decade

Nicola Barbieri

28 papers receiving 792 citations

Peers

Nicola Barbieri
Comparison fields: 5 of 69
  • Statistical and Nonlinear Physics 576
  • Artificial Intelligence 293
  • Information Systems 273
  • Computer Networks and Communications 154
  • Sociology and Political Science 92
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Citations per field, relative to Nicola Barbieri
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Citations per year, relative to Nicola Barbieri
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Countries citing papers authored by Nicola Barbieri

Since Specialization
Citations

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

Fields of papers citing papers by Nicola Barbieri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicola Barbieri

This figure shows the co-authorship network connecting the top 25 collaborators of Nicola Barbieri. A scholar is included among the top collaborators of Nicola Barbieri 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 Nicola Barbieri. Nicola Barbieri 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 6
2 0
3 1
4 9
5 10
6 9
7 35
8 98
9 7
10 111
11 59
12 9
13 9
14 13
15 23
16 21
17
La storia dell'educazione in prospettiva comparata. Riflessioni teoriche e studio di casi: due tradizioni di ricerca a confronto
1
18 29
19 4
20
Apennine brown bear (Ursus arctos marsicanus): does host population structure influence intestinal parasite community?
1

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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