Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
This map shows the geographic impact of Peter Lanjouw'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 Peter Lanjouw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Lanjouw more than expected).
This network shows the impact of papers produced by Peter Lanjouw. 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 Peter Lanjouw. The network helps show where Peter Lanjouw may publish in the future.
Co-authorship network of co-authors of Peter Lanjouw
This figure shows the co-authorship network connecting the top 25 collaborators of Peter Lanjouw.
A scholar is included among the top collaborators of Peter Lanjouw 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 Peter Lanjouw. Peter Lanjouw is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Lanjouw, Peter, et al.. (2013). Vietnam's Evolving Poverty Map: Patterns and Implications for Policy. SSRN Electronic Journal.1 indexed citations
8.
Hentschel, Jesko, et al.. (2012). Combining Census and Survey Data to Trace the Spatial Dimensions of Poverty. The World Bank Economic Review.2 indexed citations
9.
Dang, Hai‐Anh, et al.. (2011). Using Repeated Cross-Sections to Explore Movements in and Out of Poverty. SSRN Electronic Journal.31 indexed citations
10.
Ferreira, Francisco H. G., et al.. (2010). Is There a Metropolitan Bias? The Inverse Relationship Between Poverty and City Size in Selected Developing Countries. SSRN Electronic Journal.7 indexed citations
11.
Lanjouw, Peter & Oleksiy Ivaschenko. (2010). A New Approach To Producing Geographic Profiles of Hiv Prevalence. The World Bank eBooks.1 indexed citations
Lanjouw, Peter, et al.. (2000). The urban poor in Brazil in 1996: a new poverty profile using PPV, PNAD and census data. DIGITAL REPOSITORY Economic Commission for Latin America and the Caribbean (United Nations).3 indexed citations
14.
Ferreira, Francisco H. G. & Peter Lanjouw. (2000). RURAL NON-AGRICULTURAL ACTIVITIES AND POVERTY IN THE BRAZILIAN NORTHEAST.8 indexed citations
15.
Castro-Leal, Florencia, Robert W. Hahn, Peter Lanjouw, et al.. (1999). The World Bank research observer 14 (1). The World Bank Research Observer. 14. 1–155.2 indexed citations
16.
Lanjouw, Peter & Jesko Hentschel. (1999). Combining Census and Survey Data to Study Spatial Dimensions of Poverty A Case Study of Ecuador. SSRN Electronic Journal.61 indexed citations
17.
Drèze, Jean, et al.. (1997). Credit in rural India: a case study. London School of Economics and Political Science Research Online (London School of Economics and Political Science).11 indexed citations
Lanjouw, Peter, John Besant-Jones, Antonio Estache, et al.. (1994). Weltentwicklungsbericht 1994 : infrastruktur und entwicklung. 283(6301). 1–305.
20.
Lanjouw, Peter. (1992). The SAS System Version 6. The Economic Journal. 102(414). 1302–1302.4 indexed citations
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.