Paul Sicilian

36 total papers · 464 total citations
18 papers, 316 citations indexed

About

Paul Sicilian is a scholar working on Economics and Econometrics, Demography and Gender Studies. According to data from OpenAlex, Paul Sicilian has authored 18 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Economics and Econometrics, 8 papers in Demography and 8 papers in Gender Studies. Recurrent topics in Paul Sicilian's work include Labor market dynamics and wage inequality (12 papers), Gender, Labor, and Family Dynamics (7 papers) and Retirement, Disability, and Employment (5 papers). Paul Sicilian is often cited by papers focused on Labor market dynamics and wage inequality (12 papers), Gender, Labor, and Family Dynamics (7 papers) and Retirement, Disability, and Employment (5 papers). Paul Sicilian collaborates with scholars based in United States. Paul Sicilian's co-authors include Adam J. Grossberg, Marie McKendall, Carol M. Sánchez and Kevin Callison and has published in prestigious journals such as Southern Economic Journal, Applied Economics and Empirical Economics.

In The Last Decade

Paul Sicilian

18 papers receiving 278 citations

Author Peers

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

Author Last Decade Papers Cites
Paul Sicilian 144 115 88 75 59 18 316
Brian Chiplin 146 1.0× 45 0.4× 151 1.7× 23 0.3× 31 0.5× 29 335
Anne Marie Ward 108 0.8× 95 0.8× 123 1.4× 22 0.3× 62 1.1× 32 356
Isabel Fernandez‐Mateo 104 0.7× 43 0.4× 49 0.6× 63 0.8× 95 1.6× 14 327
Rocío Bonet 67 0.5× 64 0.6× 32 0.4× 84 1.1× 122 2.1× 16 318
Marc T. Law 174 1.2× 64 0.6× 25 0.3× 39 0.5× 62 1.1× 23 356
Illoong Kwon 154 1.1× 36 0.3× 47 0.5× 44 0.6× 59 1.0× 31 294
Naomi Kodama 100 0.7× 45 0.4× 32 0.4× 35 0.5× 60 1.0× 28 216
Jaanika Meriküll 270 1.9× 49 0.4× 90 1.0× 76 1.0× 44 0.7× 36 349
Eunmi Mun 45 0.3× 62 0.5× 48 0.5× 45 0.6× 191 3.2× 17 366
Federico Weinschelbaum 159 1.1× 58 0.5× 37 0.4× 14 0.2× 68 1.2× 28 336

Countries citing papers authored by Paul Sicilian

Since Specialization
Citations

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

Fields of papers citing papers by Paul Sicilian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Sicilian

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Sicilian. A scholar is included among the top collaborators of Paul Sicilian 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 Paul Sicilian. Paul Sicilian 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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