ArticleOpen research Europe2025
Identifying "cities" of the world: a methodological approach, lexicon, and database for urban administrative units.
Article in Open research Europe, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Mapping the adoption of artificial intelligence in urban mobility.Open research Europe · 2026Article
- Identifying "cities" of the world: a methodological approach, lexicon, and database for urban administrative units.Open research Europe · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Since 2015, there has not been a comprehensive database of cities across the world. While debates about what defines a "city" remain open in urban science, we center our efforts toward developing a replicable and transparent methodology to construct a globally valid dataset of cities, agglomerations, capitals, municipalities, and urban centers. Such an endeavor is both timely and necessary given that comparative research, governmental collaborations, and cross-national comparisons among urban areas yield valuable knowledge about human settlements to inform climate resilience and sustainability planning. Our approach is bottom-up and anchored in accessibility. We begin with Wikipedia, a dynamic, crowd-sourced platform, and cross-check its entries with an expert database based on census data. When discrepancies arise, we turn to official governmental websites to confirm information. We integrate these three sources into a harmonized database that includes every urban settlement worldwide with at least 50,000 residents (7,468 in total). For China, Brazil, France, Japan, India, Pakistan, Somalia and North Korea we apply a higher inclusion threshold of 100,000. Each entry lists country and city names and is complemented by a terminology lexicon explaining how different nations define and classify cities. This approach enables us to not only catalogue urban settlements but also to make visible how cities are constructed and recognized within diverse global national governance frameworks.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.