Emma Aguila

958 total citations
73 papers, 616 citations indexed

About

Emma Aguila is a scholar working on Demography, General Health Professions and Sociology and Political Science. According to data from OpenAlex, Emma Aguila has authored 73 papers receiving a total of 616 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Demography, 28 papers in General Health Professions and 25 papers in Sociology and Political Science. Recurrent topics in Emma Aguila's work include Retirement, Disability, and Employment (28 papers), Health disparities and outcomes (18 papers) and Financial Literacy, Pension, Retirement Analysis (16 papers). Emma Aguila is often cited by papers focused on Retirement, Disability, and Employment (28 papers), Health disparities and outcomes (18 papers) and Financial Literacy, Pension, Retirement Analysis (16 papers). Emma Aguila collaborates with scholars based in United States, Mexico and Germany. Emma Aguila's co-authors include Arie Kapteyn, Orazio Attanasio, Costas Meghir, Luisa Blanco, Marco Angrisani, James P. Smith, Julie Zissimopoulos, Carlos Riumalló‐Herl, Francisco Pérez‐Arce and Mariana López‐Ortega and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Emma Aguila

69 papers receiving 592 citations

Peers

Emma Aguila
Comparison fields: 5 of 71
  • General Health Professions 268
  • Demography 208
  • Sociology and Political Science 192
  • Health 177
  • Accounting 152
Replace Purvi Sevak with:
Purvi Sevak United States
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Bénédicte Apouey France
Sheila R. Zedlewski United States
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Judit Vall Castelló Spain
Isaac Addai United States
Jacob Nielsen Arendt Denmark
Kalman Rupp United States
Joan Gil Spain
Purvi Sevak United States View profile →
Citations per field, relative to Emma Aguila
Emma Aguila · 1×
Citations per year, relative to Emma Aguila
Emma Aguila · 1×

Countries citing papers authored by Emma Aguila

Since Specialization
Citations

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

Fields of papers citing papers by Emma Aguila

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emma Aguila

This figure shows the co-authorship network connecting the top 25 collaborators of Emma Aguila. A scholar is included among the top collaborators of Emma Aguila 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 Emma Aguila. Emma Aguila 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 1
2 0
3 1
4 2
5 1
6 1
7 1
8 5
9 7
10 24
11 8
12 15
13 7
14 19
15 39
16 3
17 3
18 1
19 55
20 3

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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