Guy Lansley

621 citations
17 papers · 492 · h-index 10

Impact in

Papers in

Guy Lansley

16 papers receiving 473 citations

Peers

Guy Lansley
Comparison fields: 5 of 73
  • Transportation 270
  • Geography, Planning and Development 84
  • Communication 33
  • Urban Studies 23
  • Global and Planetary Change 72
Replace Almudena Nolasco‐Cirugeda with:
Almudena Nolasco‐Cirugeda Spain
René Westerholt Germany
Izabela Sitko Austria
Bartosz Hawelka Austria
Leticia Serrano-Estrada Spain
Alina Ristea United States
Nolan Edward Phillips United States
Erki Saluveer Estonia
Caglar Koylu United States
Alessia Calafiore United Kingdom
Guy Lansley relative to Almudena Nolasco‐Cirugeda Spain Almudena Nolasco‐Cirugeda's profile →
Citations per field
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Almudena Nolasco‐Cirugeda · 1×
Citations per year

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-authors

The 14 scholars most cited alongside Guy Lansley, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Guy Lansley Line = papers co-authored together Guy Lansley links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2016174
2 2015148
3 201631
4 201928
5 201727
6 201622
7 201915
8 202113
9 202212
10 20189
11 20185
12 20192
13
Representing Population Dynamics from Administrative and Consumer Registers
20172
14 20182
15
Modelling Spatial Behaviour in Music Festivals Using Mobile Generated Data and Machine Learning
20171
16
Estimating the Prevalence of Shared Accommodation across the UK from Big Data
20191
17 20170

About Guy Lansley

Guy Lansley is a scholar working on Transportation, Sociology and Political Science, Demography, Health and Marketing, having authored 17 papers that have together received 492 indexed citations. Recurring topics across this work include Human Mobility and Location-Based Analysis (9 papers), Urban, Neighborhood, and Segregation Studies (5 papers), Urban Transport and Accessibility (4 papers), Migration, Aging, and Tourism Studies (4 papers), Geographic Information Systems Studies (3 papers), Health disparities and outcomes (3 papers), demographic modeling and climate adaptation (2 papers) and Data-Driven Disease Surveillance (2 papers). The work is most often cited by research in Transportation (270 citations), Geography, Planning and Development (84 citations), Communication (33 citations), Urban Studies (23 citations) and Global and Planetary Change (72 citations). Guy Lansley has collaborated with scholars based in United Kingdom, United States and Kazakhstan. Frequent co-authors include Paul Longley, Muhammad Abdullah Adnan, Tao Cheng, James Cheshire, James Haworth, Loretta Lees, Jonathan Reades, Phil Hubbard, Michael Goodchild and Wen Li. Their work appears in journals such as Journal of the Royal Statistical Society Series A (Statistics in Society), Environment and Planning A Economy and Space, Transactions in GIS, Computers Environment and Urban Systems and Journal of Retailing and Consumer Services.

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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