José Galdo

556 citations
31 papers · 332 indexed · h-index 10
Topics
Poverty, Education, and Child Welfare (15 papers)Advanced Causal Inference Techniques (10 papers)Gender, Labor, and Family Dynamics (9 papers)

In The Last Decade

José Galdo

30 papers receiving 296 citations

Peers

José Galdo
Comparison fields: 5 of 58
  • Economics and Econometrics 142
  • Statistics and Probability 79
  • Safety Research 79
  • Sociology and Political Science 77
  • General Health Professions 49
Replace Ana Santiago with:
Ana Santiago Spain
Sean Becketti United States
Juan Saavedra United States
Diganta Mukherjee India
Tue Gørgens Australia
Ana C. Dammert Canada
Nandini Krishnan United States
Alvin Etang United States
Winford H. Masanjala Malawi
Marc Shotland United States
José Galdo relative to Ana Santiago Spain Ana Santiago's profile →
Citations per field
00.5×4.6×
Ana Santiago · 1×
Citations per year

Countries citing papers authored by José Galdo

Since Specialization
Citations

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

Fields of papers citing papers by José Galdo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of José Galdo

This figure shows the co-authorship network connecting the top 25 collaborators of José Galdo. A scholar is included among the top collaborators of José Galdo 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 José Galdo. José Galdo 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
#WorkIndexed citations
1 1
2 5
3 1
4 2
5 3
6 12
7 20
8 2
9 5
10 42
11 0
12 31
13 21
14
Pobreza e impactos heterogéneos de las políticas activas de empleo juvenil : el caso de PROJOVEN en el Perú
1
15
Household Wealth and Heterogeneous Impacts of Market-Based Training Programs *
1
16 31
17
DO THE POOREST AMONG THE POOR BENEFIT LESS FROM ACTIVE LABOR MARKET PROGRAMS? EVIDENCE FROM PERU'S PROJOVEN
3
18 4
19 6
20
EVALUATING THE PERFORMANCE OF NON-EXPERIMENTAL ESTIMATORS: EVIDENCE FROM A RANDOMIZED UI PROGRAM
1

About José Galdo

José Galdo is a scholar working on Safety Research, Statistics and Probability and Gender Studies, having authored 31 papers that have together received 332 indexed citations. Recurring topics across this work include Poverty, Education, and Child Welfare (15 papers), Advanced Causal Inference Techniques (10 papers) and Gender, Labor, and Family Dynamics (9 papers). The work is most often cited by research in Statistics and Probability (79 citations), Safety Research (79 citations) and Business and International Management (13 citations). José Galdo has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Ana C. Dammert, Virgilio Galdo, Jeffrey A. Smith, Dan A. Black, Alberto Chong, Degnet Abebaw, Miguel Jaramillo, Marcel Voia, Christopher Worswick and María Laura Alzúa. Their work appears in journals such as American Economic Review, World Development and Journal of Health 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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