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.
Mapping urban air pollution using GIS: a regression-based approach
This map shows the geographic impact of Simon Kingham'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 Simon Kingham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Kingham more than expected).
This network shows the impact of papers produced by Simon Kingham. 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 Simon Kingham. The network helps show where Simon Kingham may publish in the future.
Co-authorship network of co-authors of Simon Kingham
This figure shows the co-authorship network connecting the top 25 collaborators of Simon Kingham.
A scholar is included among the top collaborators of Simon Kingham 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 Simon Kingham. Simon Kingham is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Kingham, Simon, et al.. (2018). Re-working Appleyard in a low density environment : An exploration of the impacts of motorised traffic volume on street livability in Christchurch, New Zealand. University of Canterbury Research Repository (University of Canterbury). 24(1). 60–68.3 indexed citations
Campbell, Malcolm, et al.. (2015). Suicides and unemployment: Is there a relationship in New Zealand?. 22(1). 55.
12.
Kingham, Simon, et al.. (2013). The use of a land use regression model to predict NO2 air pollution in two small areas of Auckland. EspaceINRS (National Institute for Scientific Research (Canada)). 47(3). 40.1 indexed citations
13.
Campbell, Malcolm, et al.. (2013). Variation in Health and Social Equity in the Spaces Where We Live: A Review of Previous Literature from the GeoHealth Laboratory. New Zealand sociology. 28(3). 164.9 indexed citations
14.
Kingham, Simon, et al.. (2011). Assessment of Exposure Approaches in Air Pollution and Health Research in Australia and New Zealand. University of Canterbury Research Repository (University of Canterbury). 45(2). 28.9 indexed citations
15.
Kingham, Simon, et al.. (2008). Walking school buses in Christchurch - do they encourage or discourage independent mobility?. World Transport Policy and Practice. 14(1). 27–38.3 indexed citations
Kingham, Simon & Nataša Petrović. (2005). Turning Up the Heat! Nitrogen Dioxide in Nelson Homes, New Zealand. 39(2). 34.5 indexed citations
18.
Kingham, Simon, et al.. (2002). Children's perceptions of transport. World Transport Policy and Practice. 8(1). 6–10.11 indexed citations
19.
Kingham, Simon, et al.. (2001). Analysing public health data: a comparison of three methodological approaches.. Lancaster EPrints (Lancaster University).1 indexed citations
20.
Meaton, Julia & Simon Kingham. (1998). CHILDREN'S PERCEPTIONS OF TRANSPORT MODES: CAR CULTURE IN THE CLASSROOM?. World Transport Policy and Practice. 4(2). 12–16.10 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.