Maite Blázquez

430 citations
27 papers · 268 · h-index 9

Impact in

Papers in

Maite Blázquez

26 papers receiving 254 citations

Peers

Maite Blázquez
Comparison fields: 5 of 61
  • Economics and Econometrics 122
  • General Health Professions 82
  • Health 26
  • Demography 37
  • Management of Technology and Innovation 16
Replace Martin Guzi with:
Martin Guzi Czechia
Stéphane Mahuteau Australia
Laura Pohlan Germany
Stephen Roll United States
Matthias Collischon Germany
Florin Vadean United Kingdom
Nazareno Panichella Italy
Franz Buscha United Kingdom
Dario Sciulli Italy
Ross Mackay United Kingdom
Maite Blázquez relative to Martin Guzi Czechia Martin Guzi's profile →
Citations per field
00.5×2.6×
Martin Guzi · 1×
Citations per year

Countries citing papers authored by Maite Blázquez

Since Specialization
Citations

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

Fields of papers citing papers by Maite Blázquez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Maite Blázquez, 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 Maite Blázquez Line = papers co-authored together Maite Blázquez links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201733
2 201231
3
Types of Job Match, Overeducation and Labour Mobility in Spain
200430
4 201329
5 200728
6 201022
7 201719
8 20199
9 20238
10 20197
11 20187
12 20206
13 20126
14 20204
15 19854
16
The probability of leaving a low-paid job in Spain: The importance of switching into permanent employment
20063
17 20223
18 20033
19 20083
20 20153

About Maite Blázquez

Maite Blázquez is a scholar working on Economics and Econometrics, General Health Professions, Sociology and Political Science, Demography and Health, having authored 27 papers that have together received 268 indexed citations. Recurring topics across this work include Employment and Welfare Studies (14 papers), Labor market dynamics and wage inequality (11 papers), Retirement, Disability, and Employment (5 papers), Gender, Labor, and Family Dynamics (3 papers), Work-Family Balance Challenges (3 papers), Global Health Care Issues (3 papers), Health disparities and outcomes (3 papers) and Financial Literacy, Pension, Retirement Analysis (2 papers). The work is most often cited by research in Economics and Econometrics (122 citations), General Health Professions (82 citations), Health (26 citations), Demography (37 citations) and Management of Technology and Innovation (16 citations). Maite Blázquez has collaborated with scholars based in Spain, Germany and United States. Frequent co-authors include Santiago Budría, Marcel Jansen, Alfonso Alba‐Ramirez, Ana I. Moro‐Egido, Elena Cottini, Elena Bárcena‐Martín, Julián Moral Carcedo, Carlos Llano, Sílvio Rendón and Rocío Sánchez-Mangas. Their work appears in journals such as Economics & Human Biology, Economics of Education Review, Urban Studies, Economic Modelling and Socio-Economic Review.

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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