Javier Olivera

52 papers receiving 364 citations

Peers

Javier Olivera
Comparison fields: 5 of 83
  • Neuropsychology and Physiological Psychology 17
  • Health 58
  • Accounting 71
  • Demography 66
  • Finance 42
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Ming‐Ching Luoh Taiwan
Anthony Lepinteur Luxembourg
Ehsan Latif Canada
Fabrice Etilé France
Maria G. Perozek United States
Emma Aguila United States
Jared Schachner United States
Dina Bowman Australia
Dusanee Kesavayuth Thailand
Marco Angrisani United States
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Citations per field
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Citations per year

Countries citing papers authored by Javier Olivera

Since Specialization
Citations

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

Fields of papers citing papers by Javier Olivera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Javier Olivera, 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 Javier Olivera Line = papers co-authored together Javier Olivera links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201434
2 201534
3 200833
4 201730
5 201723
6 201721
7 201520
8
Detecting psychogeriatric problems in primary care: factors related to psychiatric symptoms in older community patients.
201116
9 201613
10
Detecting psychogeriatric problems in primary care: factors related to psychiatric symptoms in oldercommunity patients
201112
11 201812
12 201411
13 201810
14 201410
15 201410
16 20189
17 20208
18 20207
19 20187
20 20167

About Javier Olivera

Javier Olivera is a scholar working on Accounting, Sociology and Political Science, Demography, General Health Professions and Economics and Econometrics, having authored 59 papers that have together received 396 indexed citations. Recurring topics across this work include Financial Literacy, Pension, Retirement Analysis (22 papers), Global Health Care Issues (12 papers), Retirement, Disability, and Employment (12 papers), Intergenerational Family Dynamics and Caregiving (7 papers), Gender, Labor, and Family Dynamics (7 papers), Income, Poverty, and Inequality (6 papers), Health disparities and outcomes (6 papers) and Fiscal Policy and Economic Growth (5 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (17 citations), Health (58 citations), Accounting (71 citations), Demography (66 citations) and Finance (42 citations). Javier Olivera has collaborated with scholars based in Luxembourg, Peru and Belgium. Frequent co-authors include Philippe Van Kerm, Isabelle Tournier, Brian Nolan, Frank Cowell, Anja Leist, Benjamin M. Zwickl, Dolors Cañabate Ortíz, Ive Marx, Jordi Colomer and Louis Chauvel. Their work appears in journals such as The Journal of the Economics of Ageing, Apunts Educación Física y Deportes, European Journal of Political Economy, Health Economics and International Tax and Public Finance.

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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