Iván Torre

432 citations
37 papers · 191 · h-index 8

Impact in

Papers in

Iván Torre

26 papers receiving 167 citations

Peers

Iván Torre
Comparison fields: 5 of 53
  • Modeling and Simulation 50
  • Economics and Econometrics 105
  • Political Science and International Relations 39
  • General Economics, Econometrics and Finance 13
  • Health 11
Replace Surbhi Kesar with:
Surbhi Kesar India
Raquel Sebastian Spain
Gaetano Basso Italy
Michael Christl Spain
Marta Fana Spain
Siddharth Kothari United States
İsrael Nyaburi Nyadera Türkiye
Denisa Maria Sologon Luxembourg
Wouter van der Wielen Belgium
Stefanie Haeffele-Balch United States
Iván Torre relative to Surbhi Kesar India Surbhi Kesar's profile →
Citations per field
00.5×6.7×
Surbhi Kesar · 1×
Citations per year

Countries citing papers authored by Iván Torre

Since Specialization
Citations

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

Fields of papers citing papers by Iván Torre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Iván Torre, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Iván Torre Line = papers co-authored together Iván Torre links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202046
2 202128
3 202123
4 201613
5 202210
6 20209
7 20197
8 20237
9 20186
10 20235
11 20233
12 20223
13 20193
14 20143
15 20193
16 20223
17 20183
18
Does Job Polarization Explain the Rise in Earnings Inequality? Evidence from Europe
20182
19 20222
20 20232

About Iván Torre

Iván Torre is a scholar working on Economics and Econometrics, Political Science and International Relations, General Health Professions, Sociology and Political Science and Demography, having authored 37 papers that have together received 191 indexed citations. Recurring topics across this work include Social Policy and Reform Studies (12 papers), Employment and Welfare Studies (11 papers), Labor market dynamics and wage inequality (6 papers), COVID-19 Pandemic Impacts (5 papers), Income, Poverty, and Inequality (4 papers), Retirement, Disability, and Employment (4 papers), Local Government Finance and Decentralization (4 papers) and COVID-19 epidemiological studies (4 papers). The work is most often cited by research in Modeling and Simulation (50 citations), Economics and Econometrics (105 citations), Political Science and International Relations (39 citations), General Economics, Econometrics and Finance (13 citations) and Health (11 citations). Iván Torre has collaborated with scholars based in United States, France and Spain. Frequent co-authors include Michael Lokshin, Asli Demirgüç‐Kunt, Maurizio Bussolo, Ada Ferrer‐i‐Carbonell, Sebastián Galiani, Gustavo Torrens, Zurab Sajaia, Hernán Winkler, Arti Grover Goswami and Andreas Peichl. Their work appears in journals such as Review of Income and Wealth, Journal of International Economics, The World Bank Economic Review, Review of Development Economics and Journal of Comparative Economics.

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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