Pablo Winant

941 total citations · 1 hit paper
10 papers, 440 citations indexed

About

Pablo Winant is a scholar working on General Economics, Econometrics and Finance, Finance and Economics and Econometrics. According to data from OpenAlex, Pablo Winant has authored 10 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in General Economics, Econometrics and Finance, 7 papers in Finance and 7 papers in Economics and Econometrics. Recurrent topics in Pablo Winant's work include Monetary Policy and Economic Impact (5 papers), Global Financial Crisis and Policies (4 papers) and Economic Theory and Policy (4 papers). Pablo Winant is often cited by papers focused on Monetary Policy and Economic Impact (5 papers), Global Financial Crisis and Policies (4 papers) and Economic Theory and Policy (4 papers). Pablo Winant collaborates with scholars based in United States, United Kingdom and France. Pablo Winant's co-authors include Michael Kumhof, Romain Rancière, Lilia Maliar, Nicolas Coeurdacier, Hélène Rey, Serguei Maliar, Romain G. Rancière, Atish R. Ghosh and Jonathan D. Ostry and has published in prestigious journals such as American Economic Review, Journal of Monetary Economics and Economics Letters.

In The Last Decade

Pablo Winant

10 papers receiving 407 citations

Hit Papers

Inequality, Leverage, and Crises 2015 2026 2018 2022 2015 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Pablo Winant United States 7 290 233 209 84 81 10 440
Luis Molina Spain 8 289 1.0× 201 0.9× 197 0.9× 59 0.7× 60 0.7× 28 438
John E. Silvia United States 8 337 1.2× 295 1.3× 124 0.6× 63 0.8× 68 0.8× 36 473
Lena Dräger Germany 10 331 1.1× 303 1.3× 148 0.7× 49 0.6× 74 0.9× 44 456
Maritta Paloviita Finland 13 384 1.3× 368 1.6× 191 0.9× 38 0.5× 86 1.1× 52 518
Alessandro Secchi Italy 10 585 2.0× 360 1.5× 274 1.3× 37 0.4× 83 1.0× 14 710
Gaetano Alfredo Minerva Italy 8 315 1.1× 150 0.6× 98 0.5× 40 0.5× 55 0.7× 15 389
Alberto Locarno Italy 15 485 1.7× 316 1.4× 374 1.8× 27 0.3× 114 1.4× 25 679
Edda Zoli United States 10 178 0.6× 157 0.7× 337 1.6× 27 0.3× 62 0.8× 27 443
Alessio Ciarlone Italy 10 497 1.7× 253 1.1× 259 1.2× 31 0.4× 86 1.1× 17 618
Romain G. Rancière United States 12 265 0.9× 207 0.9× 265 1.3× 36 0.4× 89 1.1× 23 448

Countries citing papers authored by Pablo Winant

Since Specialization
Citations

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

Fields of papers citing papers by Pablo Winant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pablo Winant

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

All Works

10 of 10 papers shown
1.
Maliar, Lilia, Serguei Maliar, & Pablo Winant. (2021). Deep learning for solving dynamic economic models.. Journal of Monetary Economics. 122. 76–101. 41 indexed citations
2.
Coeurdacier, Nicolas, Hélène Rey, & Pablo Winant. (2019). Financial integration and growth in a risky world. Journal of Monetary Economics. 112. 1–21. 36 indexed citations
3.
Winant, Pablo, et al.. (2019). The Stochastic Lower Bound. Economics Letters. 180. 54–57. 7 indexed citations
4.
Ghosh, Atish R., et al.. (2018). Managing Capital Outflows with Limited Reserves. IMF Economic Review. 66(2). 333–374. 7 indexed citations
5.
Kumhof, Michael, Romain Rancière, & Pablo Winant. (2015). Income inequality causes higher debt leverage among all but the richest households, and makes economies more vulnerable to financial crises. London School of Economics and Political Science Research Online (London School of Economics and Political Science). 1 indexed citations
6.
Kumhof, Michael, Romain Rancière, & Pablo Winant. (2015). Inequality, Leverage, and Crises. American Economic Review. 105(3). 1217–1245. 318 indexed citations breakdown →
7.
Kumhof, Michael, et al.. (2013). Inequality, Leverage and Crises: The Case of Endogenous Default. IMF Working Paper. 13(249). 1–1. 17 indexed citations
8.
Kumhof, Michael, Romain G. Rancière, & Pablo Winant. (2013). Inequality, Leverage and Crises: The Case of Endogenous Default. SSRN Electronic Journal. 7 indexed citations
9.
Coeurdacier, Nicolas, Hélène Rey, & Pablo Winant. (2011). The Risky Steady State. American Economic Review. 101(3). 398–401. 5 indexed citations
10.
Winant, Pablo. (2008). La finance éthique. Regards croisés sur l'économie. n° 3(1). 84–85. 1 indexed citations

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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