Alberto E. Chong

115 papers receiving 3.7k citations

Alberto E. Chong's Hit Papers

Does Corruption Information Inspire the Fight or Quash the Hope? A Field Experiment in Mexico on Voter Turnout, Choice, and Party Identification 2014 · 261 citations
2610+4+9Years since publication250500750

Peers

Alberto E. Chong
Comparison fields: 5 of 113
  • General Economics, Econometrics and Finance 708
  • Development 301
  • Economics and Econometrics 2.0k
  • Finance 483
  • Safety Research 416
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Countries citing papers authored by Alberto E. Chong

Since Specialization
Citations

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

Fields of papers citing papers by Alberto E. Chong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alberto E. Chong. 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 Alberto E. Chong. The network helps show where Alberto E. Chong may publish in the future.

Co-authors

The 25 scholars most cited alongside Alberto E. Chong, 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 Alberto E. Chong Line = papers co-authored together Alberto E. Chong links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 130 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Soap Operas and Fertility: Evidence from Brazil
Hit paper breakdown →
2012985
2 2007282
3
Does Corruption Information Inspire the Fight or Quash the Hope? A Field Experiment in Mexico on Voter Turnout, Choice, and Party Identification
Hit paper breakdown →
2014261
4 2006236
5 2000191
6 2002140
7 2004119
8 2007113
9 2009113
10 2009112
11
Investor Protection and Corporate Governance: Firm-level Evidence Across Latin America
200791
12 201482
13 200179
14 199966
15 201464
16 200056
17 200456
18 201549
19 200545
20 200045

About Alberto E. Chong

Alberto E. Chong is a scholar working on Economics and Econometrics, Safety Research, General Economics, Econometrics and Finance, Accounting and Sociology and Political Science, having authored 130 papers that have together received 4.1k indexed citations. Recurring topics across this work include Fiscal Policy and Economic Growth (20 papers), Corruption and Economic Development (16 papers), Income, Poverty, and Inequality (16 papers), Corporate Finance and Governance (14 papers), Taxation and Compliance Studies (11 papers), Poverty, Education, and Child Welfare (10 papers), Experimental Behavioral Economics Studies (9 papers) and Banking stability, regulation, efficiency (9 papers). The work is most often cited by research in General Economics, Econometrics and Finance (708 citations), Development (301 citations), Economics and Econometrics (2.0k citations), Finance (483 citations) and Safety Research (416 citations). Alberto E. Chong has collaborated with scholars based in United States, Peru and Canada. Frequent co-authors include Eliana La Ferrara, César Hildebrando Chávez Calderón, Suzanne Duryea, Mark Gradstein, Florencio López‐de‐Silanes, Ernesto Hugo Stein, Dean Karlan, Ana L. De La O, Léonard Wantchekon and Norman Loayza. Their work appears in journals such as Public Choice, Economic Development and Cultural Change, Economics and Politics, Journal of Public Economics and Review of Development 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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