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.
Rethinking the Causes of Deforestation: Lessons from Economic Models
1999684 citationsArild Angelsen, David KaimowitzThe World Bank Research Observerprofile →
Economic models of tropical deforestation: a review
1998510 citationsDavid Kaimowitz, Arild AngelsenCenter for International Forestry Research (CIFOR) 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 David Kaimowitz
Since
Specialization
Citations
This map shows the geographic impact of David Kaimowitz'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 David Kaimowitz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Kaimowitz more than expected).
This network shows the impact of papers produced by David Kaimowitz. 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 David Kaimowitz. The network helps show where David Kaimowitz may publish in the future.
Co-authorship network of co-authors of David Kaimowitz
This figure shows the co-authorship network connecting the top 25 collaborators of David Kaimowitz.
A scholar is included among the top collaborators of David Kaimowitz 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 David Kaimowitz. David Kaimowitz is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Karsenty, Alain, et al.. (2007). La foret en Republique Democratique du Congo post-conflit : analyse d'un agenda prioritaire. Center for International Forestry Research (CIFOR) eBooks. 1–107.5 indexed citations
5.
Kaimowitz, David. (2005). The great flood myth. The New Scientist. 182(2452). 18–18.3 indexed citations
Kaimowitz, David, et al.. (2000). The influence of research and publications on conventional wisdom and policies affecting forests.. 51(203). 3–10.6 indexed citations
8.
Kaimowitz, David. (2000). Forestry assistance and tropical deforestation: why the public doesn't get what it pays for.. The International Forestry Review. 2(3). 225–242.12 indexed citations
9.
Angelsen, Arild & David Kaimowitz. (2000). Rethinking the causes of deforestation: lessons from economic models.. RePEc: Research Papers in Economics. 16(1). 5–23.2 indexed citations
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
12.
Kaimowitz, David, et al.. (1998). Considering the impact of structural adjustment policies on forests in Bolivia, Cameroon and Indonesia. Digital Library Of The Commons Repository (Indiana University). 49(194).16 indexed citations
Kaimowitz, David, et al.. (1990). The technology triangle: linking farmers, technology transfer agents, and agricultural researchers. Summary report of an international workshop held at ISNAR, The Hague, 20-25 November 1989..16 indexed citations
19.
Kaimowitz, David, et al.. (1980). Nicaragua's agrarian reform: the first year (1979-80).. Minds at UW (University of Wisconsin).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.