Lia Pacelli

557 total citations
29 papers, 288 citations indexed

About

Lia Pacelli is a scholar working on Economics and Econometrics, General Health Professions and Sociology and Political Science. According to data from OpenAlex, Lia Pacelli has authored 29 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Economics and Econometrics, 12 papers in General Health Professions and 7 papers in Sociology and Political Science. Recurrent topics in Lia Pacelli's work include Labor market dynamics and wage inequality (17 papers), Employment and Welfare Studies (11 papers) and Firm Innovation and Growth (8 papers). Lia Pacelli is often cited by papers focused on Labor market dynamics and wage inequality (17 papers), Employment and Welfare Studies (11 papers) and Firm Innovation and Growth (8 papers). Lia Pacelli collaborates with scholars based in Italy, Germany and United Kingdom. Lia Pacelli's co-authors include Francesco Devicienti, Fábio Berton, Pietro Garibaldi, Marianna Filandri, Dalit Contini, Claudia Villosio, Agata Maida, Silvia Pasqua, Marco Malgarini and Bruno Contini and has published in prestigious journals such as Social Indicators Research, Economics Letters and Labour Economics.

In The Last Decade

Lia Pacelli

24 papers receiving 261 citations

Peers

Lia Pacelli
Comparison fields: 5 of 49
  • Economics and Econometrics 192
  • General Health Professions 137
  • Sociology and Political Science 81
  • Demography 65
  • Political Science and International Relations 25
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Giulia Giupponi Italy View profile →
Citations per field, relative to Lia Pacelli
Lia Pacelli · 1×
Citations per year, relative to Lia Pacelli
Lia Pacelli · 1×

Countries citing papers authored by Lia Pacelli

Since Specialization
Citations

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

Fields of papers citing papers by Lia Pacelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lia Pacelli

This figure shows the co-authorship network connecting the top 25 collaborators of Lia Pacelli. A scholar is included among the top collaborators of Lia Pacelli 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 Lia Pacelli. Lia Pacelli 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 4
4
Understanding low female labour force participation: Policy evaluation using microsimulation
1
5 36
6 2
7 2
8 1
9 2
10 8
11
Flessibilità del lavoro e formazione dei lavoratori. Il caso italiano.
2
12 26
13 16
14 73
15
Employment security and employability: a contribution tothe flexicurity debate
8
16 27
17 4
18
Differenziali salariali regionali e performance economica
1
19 29
20 12

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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