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.
Non-exhaust vehicle emissions of particulate matter and VOC from road traffic: A review
2021224 citationsDavid Carruthers et al.Atmospheric Environmentprofile →
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 Carruthers
Since
Specialization
Citations
This map shows the geographic impact of David Carruthers'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 Carruthers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Carruthers more than expected).
Fields of papers citing papers by David Carruthers
This network shows the impact of papers produced by David Carruthers. 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 Carruthers. The network helps show where David Carruthers may publish in the future.
Co-authorship network of co-authors of David Carruthers
This figure shows the co-authorship network connecting the top 25 collaborators of David Carruthers.
A scholar is included among the top collaborators of David Carruthers 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 Carruthers. David Carruthers is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Carruthers, David, Michael Bennett, P. T. Woods, et al.. (2014). Validation of the ADMS dispersion model and assessment of its performance relative to R–91 and ISC using archived LIDAR data. International Journal of Environment and Pollution.6 indexed citations
10.
McHugh, Christine, et al.. (2014). ADMS–Urban: an air quality management system for traffic, domestic and industrial pollution. International Journal of Environment and Pollution.51 indexed citations
11.
Robins, Alan, David Carruthers, & Christine McHugh. (2014). The ADMS building effects module. International Journal of Environment and Pollution.4 indexed citations
12.
Carruthers, David, et al.. (2014). The Atmospheric Dispersion Modelling System (ADMS): comparisons with data from the Kincaid experiment. International Journal of Environment and Pollution.3 indexed citations
Whyatt, Duncan, et al.. (2011). A Renaissance Study of Dispersion Processes around a Major Roadway. Lancaster EPrints (Lancaster University).1 indexed citations
15.
Carruthers, David, et al.. (2008). ADMS-AIRPORT: MODEL INTER-COMPARISIONS AND MODEL VALIDATION. University of Zagreb University Computing Centre (SRCE). 43. 57–61.
16.
Barlow, T J, et al.. (2007). Non-exhaust particulate matter emissions from road traffic: Summary Report.9 indexed citations
17.
Stocker, Jenny & David Carruthers. (2007). Road vehicle non-exhaust particulate matter: Initial air quality model development and application, model uncertainty analysis and further model improvements.5 indexed citations
Carruthers, David, et al.. (1959). Damages for personal injury and death in Canada.
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.