Paolo Barbieri

67 total papers · 1.2k total citations
45 papers, 717 citations indexed

About

Paolo Barbieri is a scholar working on Sociology and Political Science, General Health Professions and Economics and Econometrics. According to data from OpenAlex, Paolo Barbieri has authored 45 papers receiving a total of 717 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Sociology and Political Science, 22 papers in General Health Professions and 15 papers in Economics and Econometrics. Recurrent topics in Paolo Barbieri's work include Employment and Welfare Studies (22 papers), Labor market dynamics and wage inequality (12 papers) and Italian Social Issues and Migration (9 papers). Paolo Barbieri is often cited by papers focused on Employment and Welfare Studies (22 papers), Labor market dynamics and wage inequality (12 papers) and Italian Social Issues and Migration (9 papers). Paolo Barbieri collaborates with scholars based in Italy, Netherlands and Germany. Paolo Barbieri's co-authors include Stefani Scherer, Giorgio Cutuli, Rossella Bozzon, Giampiero Passaretta, Raffaele Grotti, Raffaele Guetto, Ruud Luijkx, Henning Lohmann, Walter Müller and M.H.J. Wolbers and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Sociological Review and Demographic Research.

In The Last Decade

Paolo Barbieri

40 papers receiving 634 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Paolo Barbieri 389 331 270 205 147 45 717
René Böheim 253 0.7× 278 0.8× 386 1.4× 202 1.0× 76 0.5× 65 773
Nigel C. O’Leary 232 0.6× 318 1.0× 521 1.9× 129 0.6× 79 0.5× 46 818
José‐Ignacio Antón 372 1.0× 256 0.8× 216 0.8× 145 0.7× 90 0.6× 68 706
Tomas Korpi 465 1.2× 336 1.0× 357 1.3× 159 0.8× 169 1.1× 31 869
Deborah Smeaton 423 1.1× 269 0.8× 141 0.5× 315 1.5× 79 0.5× 41 747
Antje Mertens 383 1.0× 240 0.7× 462 1.7× 197 1.0× 113 0.8× 32 818
Hipólito Simón 253 0.7× 345 1.0× 464 1.7× 137 0.7× 102 0.7× 57 868
Dominique Anxo 329 0.8× 389 1.2× 126 0.5× 196 1.0× 217 1.5× 59 753
Pïerre Cahuc 243 0.6× 192 0.6× 518 1.9× 173 0.8× 92 0.6× 36 758
Ulf Rinne 204 0.5× 282 0.9× 391 1.4× 76 0.4× 170 1.2× 78 726

Countries citing papers authored by Paolo Barbieri

Since Specialization
Citations

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

Fields of papers citing papers by Paolo Barbieri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paolo Barbieri

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

All Works

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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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