Urban Big Data Centre

7.1k citations
264 papers ·

Impact in

Papers in

    • Urban Transport and Accessibility 43
    • Human Mobility and Location-Based Analysis 36
    • Housing, Finance, and Neoliberalism 26

Urban Big Data Centre

221 papers receiving 6.3k citations

Peers

Urban Big Data Centre
Comparison fields: 5 of 189
  • Transportation 1.5k
  • Urban Studies 650
  • Finance 757
  • Global and Planetary Change 1.1k
  • Health, Toxicology and Mutagenesis 704
Replace Wales Institute of Social and Economic Research, Data and Methods with:
Wales Institute of Social and Economic Research, Data and Methods United Kingdom
Department for International Development United Kingdom
Cambridge Econometrics (United Kingdom) United Kingdom
Belfast City Council United Kingdom
Leonard Cheshire United Kingdom
ILS – Research Institute for Regional and Urban Development Germany
Ministry of Economic Affairs and Climate Policy Netherlands
UK Energy Research Centre United Kingdom
CEPS/INSTEAD Luxembourg
Department for Transport United Kingdom
Urban Big Data Centre relative to Wales Institute of Social and Economic Research, Data and Methods United Kingdom Wales Institute of Social and Economic Research, Data and Methods's profile →
Citations per field
00.5×2×4×5.3×
Wales Institute of Social and Economic Research, Data and Methods · 1×
Citations per year

Countries citing scholars working at Urban Big Data Centre

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Urban Big Data Centre. 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 papers produced at Urban Big Data Centre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Urban Big Data Centre more than expected).

Fields of papers published by authors at Urban Big Data Centre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Urban Big Data Centre at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Urban Big Data Centre at the time of their publication.

About Urban Big Data Centre

In recent decades, authors affiliated with Urban Big Data Centre have published 264 papers, which have received a total of 7.1k indexed citations . Scholars at this organization have produced 71 papers in Transportation, 26 papers in Finance, 16 papers in Urban Studies, 48 papers in Global and Planetary Change and 27 papers in Health, Toxicology and Mutagenesis on the topics of Urban Transport and Accessibility (43 papers), Human Mobility and Location-Based Analysis (36 papers), Land Use and Ecosystem Services (28 papers), Housing Market and Economics (27 papers), Housing, Finance, and Neoliberalism (26 papers), Urban, Neighborhood, and Segregation Studies (22 papers), Urban Green Space and Health (20 papers) and Homelessness and Social Issues (14 papers). Their work is cited by papers focused on Transportation (1.5k citations), Urban Studies (650 citations), Finance (757 citations), Global and Planetary Change (1.1k citations) and Health, Toxicology and Mutagenesis (704 citations). Authors at Urban Big Data Centre collaborate with scholars in United Kingdom, China and United States and have published in prestigious journals including Housing Studies, Landscape and Urban Planning, Computers Environment and Urban Systems, Applied Geography and Journal of Transport Geography. Some of Urban Big Data Centre's most productive authors include Jing Yao, Duncan Maclennan, A. Stewart Fotheringham, Ricardo Crespo, Piyushimita Vonu Thakuriah, Ade Kearns, Rowland Atkinson, Yeran Sun, Nick Bailey and Katarzyna Siła-Nowicka.

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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