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.
State Power and Social Forces
1994345 citationsJoel S. Migdal, Frances Hagopian et al.Cambridge University Press eBooksprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Catherine Boone
Since
Specialization
Citations
This map shows the geographic impact of Catherine Boone'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 Catherine Boone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Catherine Boone more than expected).
This network shows the impact of papers produced by Catherine Boone. 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 Catherine Boone. The network helps show where Catherine Boone may publish in the future.
Co-authorship network of co-authors of Catherine Boone
This figure shows the co-authorship network connecting the top 25 collaborators of Catherine Boone.
A scholar is included among the top collaborators of Catherine Boone 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 Catherine Boone. Catherine Boone is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Boone, Catherine, et al.. (2019). Regional inequalities in African political economy: theory, conceptualization and measurement, and political effects. London School of Economics and Political Science Research Online (London School of Economics and Political Science).3 indexed citations
Boone, Catherine. (2015). Land tenure regimes and state structure in rural Africa:implications for the forms of resistance to large-scale land acquisitions by outsiders. London School of Economics and Political Science Research Online (London School of Economics and Political Science).1 indexed citations
8.
Boone, Catherine. (2014). Property and political order: land rights and the structure of conflict in Africa. London School of Economics and Political Science Research Online (London School of Economics and Political Science).7 indexed citations
Wahman, Michael & Catherine Boone. (2013). Gaming the System- Unequal Representation and Rural Bias in African Single Member District Elections. SSRN Electronic Journal.1 indexed citations
12.
Wahman, Michael & Catherine Boone. (2013). Rural Bias in African Electoral Systems: Unequal Representation in Single Member District Elections. SSRN Electronic Journal.2 indexed citations
Boone, Catherine. (2009). Property and Constitutional Order: Land Tenure Reform and the Future of the African State. SSRN Electronic Journal.3 indexed citations
Boone, Catherine, et al.. (1997). La libéralisation de l’économie et les luttes d'intérêts au Sénégal. London School of Economics and Political Science Research Online (London School of Economics and Political Science).1 indexed citations
Migdal, Joel S., Frances Hagopian, Vivienne Shue, et al.. (1994). State Power and Social Forces. Cambridge University Press eBooks.345 indexed citations breakdown →
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.