International Journal of Geographical Information Science

(The TQCC of International Journal of Geographical Information Science is 10. 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 2020-05-01 to 2024-05-01.)
Common mistakes in ecological niche models163
A comparative study of heterogeneous ensemble-learning techniques for landslide susceptibility mapping134
An augmented representation method of debris flow scenes to improve public perception106
Understanding the modifiable areal unit problem in dockless bike sharing usage and exploring the interactive effects of built environment factors69
A methodological framework for analysis of participatory mapping data in research, planning, and management60
A review of location encoding for GeoAI: methods and applications54
Graph convolutional autoencoder model for the shape coding and cognition of buildings in maps50
Walking through the forests of the future: using data-driven virtual reality to visualize forests under climate change42
A geographically weighted artificial neural network41
From 2SFCA to i2SFCA: integration, derivation and validation41
A comparison of a gradient boosting decision tree, random forests, and artificial neural networks to model urban land use changes: the case of the Seoul metropolitan area39
Reproducibility and replicability: opportunities and challenges for geospatial research37
A multi-view bidirectional spatiotemporal graph network for urban traffic flow imputation36
Geographically and temporally neural network weighted regression for modeling spatiotemporal non-stationary relationships35
A distributed framework for extracting maritime traffic patterns30
GANmapper: geographical data translation29
Compliance and containment in social distancing: mathematical modeling of COVID-19 across townships29
Prediction of human activity intensity using the interactions in physical and social spaces through graph convolutional networks28
An interactive detector for spatial associations28
A BiLSTM-CNN model for predicting users’ next locations based on geotagged social media27
Estimating urban functional distributions with semantics preserved POI embedding27
Application of a graph convolutional network with visual and semantic features to classify urban scenes25
Mapping monthly population distribution and variation at 1-km resolution across China23
A comprehensive quality assessment framework for linear features from Volunteered Geographic Information23
Measuring the similarity between multipolygons using convex hulls and position graphs23
Collaborative spatial multicriteria evaluation: a review and directions for future research23
Establishing the integrated science of movement: bringing together concepts and methods from animal and human movement analysis23
Fractal evolution of urban street networks in form and structure: a case study of Hong Kong22
A knowledge representation model based on the geographic spatiotemporal process22
Progress in computational movement analysis – towards movement data science20
3D building metrics for urban morphology20
Extraction and analysis of natural disaster-related VGI from social media: review, opportunities and challenges20
Dynamical community detection and spatiotemporal analysis in multilayer spatial interaction networks using trajectory data20
A hybrid approach to building simplification with an evaluator from a backpropagation neural network19
On the suitability of a unified GIS-BIM-HBIM framework for cataloguing and assessing vulnerability in Historic Urban Landscapes: a critical review19
Exploring the vertical dimension of street view image based on deep learning: a case study on lowest floor elevation estimation19
A constraint-based approach for identifying the urban–rural fringe of polycentric cities using multi-sourced data19
Identify urban building functions with multisource data: a case study in Guangzhou, China18
Delineation of cities based on scaling properties of urban patterns: a comparison of three methods18
Identifying home locations in human mobility data: an open-source R package for comparison and reproducibility18
GazPNE: annotation-free deep learning for place name extraction from microblogs leveraging gazetteer and synthetic data by rules18
An adaptive detection of multilevel co-location patterns based on natural neighborhoods17
Detecting spatiotemporal extents of traffic congestion: a density-based moving object clustering approach16
Multiscale geographically and temporally weighted regression with a unilateral temporal weighting scheme and its application in the analysis of spatiotemporal characteristics of house prices in Beijin16
Geographical information science for the United Nations’ 2030 agenda for sustainable development16
Leveraging temporal changes of spatial accessibility measurements for better policy implications: a case study of electric vehicle (EV) charging stations in Seoul, South Korea16
Assessing OSM building completeness using population data16
Aligning geographic entities from historical maps for building knowledge graphs16
Indoor mapping and modeling by parsing floor plan images16
RegNet: a neural network model for predicting regional desirability with VGI data15
SNN_flow: a shared nearest-neighbor-based clustering method for inhomogeneous origin-destination flows15
A method to evaluate task-specific importance of spatio-temporal units based on explainable artificial intelligence15
A topic model based framework for identifying the distribution of demand for relief supplies using social media data15
Local fuzzy geographically weighted clustering: a new method for geodemographic segmentation15
Delineating urban job-housing patterns at a parcel scale with street view imagery15
Detecting interchanges in road networks using a graph convolutional network approach15
Synthesizing location semantics from street view images to improve urban land-use classification15
Discovering co-location patterns in multivariate spatial flow data15
Assessing COVID-induced changes in spatiotemporal structure of mobility in the United States in 2020: a multi-source analytical framework15
Identifying urban growth patterns through land-use/land-cover spatio-temporal metrics: Simulation and analysis14
Characterizing traveling fans: a workflow for event-oriented travel pattern analysis using Twitter data14
Efficient regionalization for spatially explicit neighborhood delineation14
Transformer based named entity recognition for place name extraction from unstructured text14
Towards a training data model for artificial intelligence in earth observation14
A quantitative comparison of regionalization methods13
A spatiotemporal structural graph for characterizing land cover changes13
Analysis of the spatiotemporal riding modes of dockless shared bicycles based on tensor decomposition13
A spatial model of cognitive distance in cities13
Pattern-based identification and mapping of landscape types using multi-thematic data13
A multi-source spatio-temporal data cube for large-scale geospatial analysis13
Analysis of the performance and robustness of methods to detect base locations of individuals with geo-tagged social media data13
Deriving map images of generalised mountain roads with generative adversarial networks13
Discovering regions of anomalous spatial co-locations13
Development of a multiscale discretization method for the geographical detector model13
Land cover harmonization using Latent Dirichlet Allocation13
An exact statistical method for analyzing co-location on a street network and its computational implementation12
The effects of sample size and sample prevalence on cellular automata simulation of urban growth12
The M³ massive movement model: a distributed incrementally updatable solution for big movement data exploration12
A generalized heterogeneity model for spatial interpolation12
Detecting geospatial location descriptions in natural language text12
A Bayesian spatio-temporal model to analyzing the stability of patterns of population distribution in an urban space using mobile phone data11
Urban traffic flow prediction: a dynamic temporal graph network considering missing values11
Urban land-use analysis using proximate sensing imagery: a survey11
Adaptive simplification of GPS trajectories with geographic context – a quadtree-based approach11
FAIR geovisualizations: definitions, challenges, and the road ahead11
Graph neural networks with constraints of environmental consistency for landslide susceptibility evaluation11
Spatial social networks in geographic information science11
A multicriteria optimization framework for the definition of the spatial granularity of urban social media analytics11
Loosening the grid: topology as the basis for a more inclusive GIS11
Geographically and temporally weighted co-location quotient: an analysis of spatiotemporal crime patterns in greater Manchester10
Reasoning over higher-order qualitative spatial relations via spatially explicit neural networks10
Deploying machine learning to assist digital humanitarians: making image annotation in OpenStreetMap more efficient10
On the notion of ‘bandwidth’ in geographically weighted regression models of spatially varying processes10
Geo-knowledge-guided GPT models improve the extraction of location descriptions from disaster-related social media messages10
Vehicular crowd-sensing: a parametric routing algorithm to increase spatio-temporal road network coverage10
Assessing and benchmarking 3D city models10
Discovery of statistically significant regional co-location patterns on urban road networks10