Environment and Planning B-Urban Analytics and City Science

Papers
(The H4-Index of Environment and Planning B-Urban Analytics and City Science is 18. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-08-01 to 2026-08-01.)
ArticleCitations
Fifty years of Environment and Planning B60
A geo-intelligence paradigm examining and curbing shrinking cities: Detroit as a case study49
Examining the impact of the urban transportation system on tangible and intangible vitality at the city-block scale in Nanjing, China49
An Academy of Nations? The enduring Eurocentrism of the Best International Feature Film Award45
Determinants of Urban land development: A panel study for U.S. metropolitan areas40
Not so ‘placeless’ after all. Understanding the spatial implications of the digital economy26
The conundrum of ‘form follows function’25
Geo-visualisation of the community structure of intercity express delivery network in China based on waybill big data24
An interactive method for generating and evaluating urban design alternatives in early design stages24
OSM land use data quality and its association with city-level socioeconomic conditions in China23
Semantic urban elements: A Design+Science paradigm to augment human-centric cities?23
Advances in geospatial approaches to transport networks and sustainable mobility22
Ownership diversity and fragmentation: A barrier to urban centre resilience22
Smart Data infrastructure for urban analytics, city science, planning and design21
Hopes and dreams for (future) better things: Medium, data, and ideas20
The changing image of the city: Historic urban vista view analysis in the Old City of Beijing18
Quantity or structure? Asset or burden? Causal evidence of street greenery’s impact on housing prices from sequential data18
Visualizing urban slum population across the globe18
Extracting and analyzing urban housing conflicts using large language models, graph databases, and GIS18
Developing a TOD assessment model based on node–place–ecology for suburban areas of metropolitan cities: A case in Odawara18
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