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.
When Tourists Move In: How Should Urban Planners Respond to Airbnb?
2017370 citationsNicole Gurran, Peter PhibbsJournal of the American Planning Associationprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Peter Phibbs'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 Peter Phibbs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Phibbs more than expected).
This network shows the impact of papers produced by Peter Phibbs. 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 Peter Phibbs. The network helps show where Peter Phibbs may publish in the future.
Co-authorship network of co-authors of Peter Phibbs
This figure shows the co-authorship network connecting the top 25 collaborators of Peter Phibbs.
A scholar is included among the top collaborators of Peter Phibbs 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 Peter Phibbs. Peter Phibbs is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Bentley, Rebecca, Emma Baker, Ang Li, et al.. (2022). Housing and health: an updated glossary. Journal of Epidemiology & Community Health. 76(9). 833–838.31 indexed citations
Gurran, Nicole & Peter Phibbs. (2017). Planning reform for affordable housing supply. 43(4). 6.2 indexed citations
9.
Gurran, Nicole, Peter Phibbs, Judith Yates, et al.. (2016). An efficient and responsive housing market for sustainable urban growth and social inclusion.1 indexed citations
Pawson, Hal, Vivienne Milligan, Peter Phibbs, & Steven Rowley. (2014). Assessing management costs and tenant outcomes in social housing: developing a framework. eSpace (Curtin University). 160(160). 1–69.5 indexed citations
12.
Habibis, Daphne, et al.. (2014). Progressing tenancy management reform on remote Indigenous communities. eCite Digital Repository (University of Tasmania).9 indexed citations
13.
Phibbs, Peter, et al.. (2010). Lessons of Defence Housing Australia for affordable housing provision.5 indexed citations
14.
Bridge, Catherine, et al.. (2010). Age-specific housing for low to moderate-income older people. UWA Profiles and Research Repository (University of Western Australia).2 indexed citations
15.
Phibbs, Peter, et al.. (2009). Reverse mortgages and older people: growth factors and implications for retirement decisions.17 indexed citations
16.
Gurran, Nicole, et al.. (2008). Planning for sustainable change: a review of Australian local planning schemes. The Sydney eScholarship Repository (The University of Sydney).1 indexed citations
17.
Bridge, Catherine, et al.. (2006). The costs and benefits of using private housing as the ‘home base’ for care for older people: a systematic literature review. UNSWorks (UNSW Sydney). 94(94). 1–70.7 indexed citations
18.
Phibbs, Peter & Peter Young. (2005). The health, employment and education benefits of public housing.6 indexed citations
19.
Phibbs, Peter & Peter Young. (2005). Housing assistance and non-shelter outcomes.31 indexed citations
20.
Phibbs, Peter, et al.. (2003). Stakeholder requirements for enabling regulatory arrangements for community housing in Australia.5 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.