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.
Benefits and costs of street trees in Lisbon, Portugal
2011199 citationsAna Luísa Soares, Francisco Rego et al.Urban forestry & urban greeningprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by James R. Simpson
Since
Specialization
Citations
This map shows the geographic impact of James R. Simpson'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 James R. Simpson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James R. Simpson more than expected).
Fields of papers citing papers by James R. Simpson
This network shows the impact of papers produced by James R. Simpson. 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 James R. Simpson. The network helps show where James R. Simpson may publish in the future.
Co-authorship network of co-authors of James R. Simpson
This figure shows the co-authorship network connecting the top 25 collaborators of James R. Simpson.
A scholar is included among the top collaborators of James R. Simpson 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 James R. Simpson. James R. Simpson is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Soares, Ana Luísa, Francisco Rego, E. Gregory McPherson, et al.. (2011). Benefits and costs of street trees in Lisbon, Portugal. Urban forestry & urban greening. 10(2). 69–78.199 indexed citations breakdown →
4.
McPherson, E. Gregory, et al.. (2005). City of Charleston, South Carolina Municipal Forest Resource Analysis.4 indexed citations
5.
Maco, S.E., E. Gregory McPherson, James R. Simpson, Paula J. Peper, & Q. Xiao. (2004). City of San Francisco, California street tree resource analysis.6 indexed citations
McPherson, E. Gregory, James R. Simpson, Paula J. Peper, et al.. (2001). Tree Guidelines for Inland Empire Communities.23 indexed citations
10.
McPherson, E. Gregory, James R. Simpson, Paula J. Peper, & Q. Xiao. (1999). Benefits-cost analysis of Modesto's municipal urban forest. 25(5). 235–248.116 indexed citations
11.
Simpson, James R., et al.. (1997). Conservation of soil fertility under intensive maize cropping in semi-arid eastern Kenya. 3(1). 429–437.6 indexed citations
Simpson, James R., Xiang Cheng, & Akira Miyazaki. (1994). China's Livestock and Related Agriculture: Projections to 2025. Medical Entomology and Zoology.36 indexed citations
Simpson, James R., et al.. (1984). Use of an Economic Demographic Simulation Model of Planning in Zaire's Beef Cattle Subsector. Journal of African studies. 11(2). 74–82.1 indexed citations
Farris, Emmanuele, et al.. (1974). Natural and Applied Sciences. Latin American Research Review. 9(3). 103–111.9 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.