Guy Lansley

613 total citations
12 papers, 440 citations indexed

About

Guy Lansley is a scholar working on Transportation, Sociology and Political Science and Demography. According to data from OpenAlex, Guy Lansley has authored 12 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Transportation, 5 papers in Sociology and Political Science and 3 papers in Demography. Recurrent topics in Guy Lansley's work include Human Mobility and Location-Based Analysis (6 papers), Urban, Neighborhood, and Segregation Studies (4 papers) and Migration, Aging, and Tourism Studies (3 papers). Guy Lansley is often cited by papers focused on Human Mobility and Location-Based Analysis (6 papers), Urban, Neighborhood, and Segregation Studies (4 papers) and Migration, Aging, and Tourism Studies (3 papers). Guy Lansley collaborates with scholars based in United Kingdom, Kazakhstan and United States. Guy Lansley's co-authors include Paul Longley, Muhammad Abdullah Adnan, Tao Cheng, James Cheshire, James Haworth, Phil Hubbard, Jonathan Reades, Loretta Lees, Andre M. Samuel and Rory Coulter and has published in prestigious journals such as Journal of Retailing and Consumer Services, Environment and Planning A Economy and Space and Journal of the Royal Statistical Society Series A (Statistics in Society).

In The Last Decade

Guy Lansley

12 papers receiving 424 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Guy Lansley United Kingdom	9	249	106	78	66	59	12	440
René Westerholt Germany	10	173 0.7×	55 0.5×	59 0.8×	84 1.3×	56 0.9×	27	336
Izabela Sitko Austria	7	526 2.1×	182 1.7×	73 0.9×	107 1.6×	132 2.2×	7	687
Leticia Serrano-Estrada Spain	12	287 1.2×	174 1.6×	55 0.7×	164 2.5×	19 0.3×	40	644
Almudena Nolasco‐Cirugeda Spain	10	217 0.9×	111 1.0×	40 0.5×	132 2.0×	17 0.3×	29	460
Bartosz Hawelka Austria	8	582 2.3×	195 1.8×	83 1.1×	124 1.9×	139 2.4×	8	754
Alina Ristea United States	10	106 0.4×	189 1.8×	25 0.3×	80 1.2×	40 0.7×	29	417
Ourania Kounadi Austria	13	102 0.4×	170 1.6×	44 0.6×	53 0.8×	114 1.9×	27	417
Nama Budhathoki United States	10	133 0.5×	104 1.0×	255 3.3×	61 0.9×	32 0.5×	15	551
Erki Saluveer Estonia	9	424 1.7×	154 1.5×	27 0.3×	105 1.6×	60 1.0×	16	547
Caglar Koylu United States	11	79 0.3×	68 0.6×	42 0.5×	45 0.7×	17 0.3×	22	296

Countries citing papers authored by Guy Lansley

Since Specialization

Citations

This map shows the geographic impact of Guy Lansley'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 Guy Lansley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guy Lansley more than expected).

Fields of papers citing papers by Guy Lansley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guy Lansley. 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 Guy Lansley. The network helps show where Guy Lansley may publish in the future.

Co-authorship network of co-authors of Guy Lansley

This figure shows the co-authorship network connecting the top 25 collaborators of Guy Lansley. A scholar is included among the top collaborators of Guy Lansley 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 Guy Lansley. Guy Lansley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

Reades, Jonathan, Loretta Lees, Phil Hubbard, & Guy Lansley. (2022). Quantifying state-led gentrification in London: Using linked consumer and administrative records to trace displacement from council estates. Environment and Planning A Economy and Space. 55(4). 810–827. 8 indexed citations

Lansley, Guy, et al.. (2021). Using Linked Consumer Registers to Estimate Residential moves in the United Kingdom. Journal of the Royal Statistical Society Series A (Statistics in Society). 184(4). 1452–1474. 12 indexed citations

Lansley, Guy, et al.. (2019). Creating a Linked Consumer Register for Granular Demographic Analysis. Journal of the Royal Statistical Society Series A (Statistics in Society). 182(4). 1587–1605. 28 indexed citations

Samuel, Andre M., Guy Lansley, & Rory Coulter. (2019). Estimating the Prevalence of Shared Accommodation across the UK from Big Data. UCL Discovery (University College London). 1 indexed citations

Lansley, Guy, et al.. (2019). A name‐led approach to profile urban places based on geotagged Twitter data. Transactions in GIS. 24(4). 858–879. 15 indexed citations

Lansley, Guy & James Cheshire. (2018). Challenges to representing the population from new forms of consumer data. Geography Compass. 12(7). 8 indexed citations

Cheng, Tao, et al.. (2017). Improved targeted outdoor advertising based on geotagged social media data. Annals of GIS. 23(4). 237–250. 25 indexed citations

Lansley, Guy, et al.. (2017). Representing Population Dynamics from Administrative and Consumer Registers. UCL Discovery (University College London). 2 indexed citations

Lansley, Guy & Paul Longley. (2016). The geography of Twitter topics in London. Computers Environment and Urban Systems. 58. 85–96. 158 indexed citations

10.

Lansley, Guy & Paul Longley. (2016). Deriving age and gender from forenames for consumer analytics. Journal of Retailing and Consumer Services. 30. 271–278. 27 indexed citations

11.

Lansley, Guy. (2016). Cars and socio-economics: understanding neighbourhood variations in car characteristics from administrative data. Regional Studies Regional Science. 3(1). 264–285. 21 indexed citations

12.

Longley, Paul, Muhammad Abdullah Adnan, & Guy Lansley. (2015). The Geotemporal Demographics of Twitter Usage. Environment and Planning A Economy and Space. 47(2). 465–484. 135 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.

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