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.
Economic Impacts of Non-Native Forest Insects in the Continental United States
2011478 citationsJuliann E. Aukema, Brian Leung et al.PLoS ONEprofile →
Nonnative forest insects and pathogens in the United States: Impacts and policy options
2016280 citationsAndrew M. Liebhold, Thomas P. Holmes et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
Countries citing papers authored by Thomas P. Holmes
Since
Specialization
Citations
This map shows the geographic impact of Thomas P. Holmes'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 Thomas P. Holmes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas P. Holmes more than expected).
Fields of papers citing papers by Thomas P. Holmes
This network shows the impact of papers produced by Thomas P. Holmes. 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 Thomas P. Holmes. The network helps show where Thomas P. Holmes may publish in the future.
Co-authorship network of co-authors of Thomas P. Holmes
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas P. Holmes.
A scholar is included among the top collaborators of Thomas P. Holmes 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 Thomas P. Holmes. Thomas P. Holmes is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Holmes, Thomas P., et al.. (2013). A Survey of Household Practices for the Prevention of Malaria in Benin City, Nigeria: Public Health Challenges One Decade after 'Roll Back Malaria'. 25(1). 39–50.1 indexed citations
3.
Aukema, Juliann E., Brian Leung, Kent Kovacs, et al.. (2011). Economic Impacts of Non-Native Forest Insects in the Continental United States. PLoS ONE. 6(9). e24587–e24587.478 indexed citations breakdown →
Holmes, Thomas P.. (2010). Confronting challenges to economic analysis of biological invasions in forests. New Zealand journal of forestry science. 40. 105–116.1 indexed citations
8.
Holmes, Thomas P., Juliann E. Aukema, Betsy Von Holle, Andrew M. Liebhold, & Erin O. Sills. (2009). Economic Impacts of Invasive Species in Forests. Annals of the New York Academy of Sciences. 1162(1). 18–38.234 indexed citations
9.
Holmes, Thomas P., Juliann E. Aukema, Betsy Von Holle, Andrew M. Liebhold, & Erin O. Sills. (2009). Economic impacts of invasive species in forest past, present, and future. 1162. 18–38.1 indexed citations
Holmes, Thomas P., Frederick Boltz, & Douglas R. Carter. (2001). Financial Indicators of Reduced Impact Logging Performance in Brazil: Case Study Comparisons.5 indexed citations
Holmes, Thomas P., et al.. (1998). The effect of response time on conjoint analysis estimates of rainforest protection values.. Journal of Forest Economics. 4(1). 7–28.20 indexed citations
Zinkhan, F. Christian, Thomas P. Holmes, & D. Evan Mercer. (1994). Conjoint analysis: a pragmatic approach for the accounting of multiple benefits in southern forest management.3 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.