Evaluation of Spatial Cluster Detection Algorithms for Crime Locations. - Marco Helbich; Michael Leitner (GfKl, 2010)

Mining urban land-use patterns from volunteered geographic information by means of genetic algorithms and artificial neural networks. - Julian Hagenauer; Marco Helbich (Int. J. Geogr. Inf. Sci., 2012)

Integration of logistic regression, Markov chain and cellular automata models to simulate urban expansion. - Jamal Jokar Arsanjani; Marco Helbich; Wolfgang Kainz; Ali Darvishi Boloorani (Int. J. Appl. Earth Obs. Geoinformation, 2013)

Toward mapping land-use patterns from volunteered geographic information. - Jamal Jokar Arsanjani; Marco Helbich; Mohamed Bakillah; Julian Hagenauer; Alexander Zipf (Int. J. Geogr. Inf. Sci., 2013)

Contextual neural gas for spatial clustering and analysis. - Julian Hagenauer; Marco Helbich (Int. J. Geogr. Inf. Sci., 2013)

Hierarchical self-organizing maps for clustering spatiotemporal data. - Julian Hagenauer; Marco Helbich (Int. J. Geogr. Inf. Sci., 2013)

Boosting the predictive accuracy of urban hedonic house price models through airborne laser scanning. - Marco Helbich; Andreas Jochem; Werner Mücke; Bernhard Höfle (Comput. Environ. Urban Syst., 2013)

Analyzing Human Activities Through Volunteered Geographic Information: Using Flickr to Analyze Spatial and Temporal Pattern of Tourist Accommodation. - Yeran Sun; Hongchao Fan; Marco Helbich; Alexander Zipf (Progress in Location-Based Services, 2013)

Geostatistical mapping of real estate prices: an empirical comparison of kriging and cokriging. - Michael Kuntz; Marco Helbich (Int. J. Geogr. Inf. Sci., 2014)

A Morphological Approach to Predicting Urban Expansion. - Jamal Jokar Arsanjani; Marco Helbich; Ali Jafar Mousivand (Trans. GIS, 2014)

Spatiotemporal variability of urban growth factors: A global and local perspective on the megacity of Mumbai. - Hossein Shafizadeh-Moghadam; Marco Helbich (Int. J. Appl. Earth Obs. Geoinformation, 2015)

The emergence and evolution of OpenStreetMap: a cellular automata approach. - Jamal Jokar Arsanjani; Marco Helbich; Mohamed Bakillah; Lukas Loos (Int. J. Digit. Earth, 2015)

Performance analysis of radial basis function networks and multi-layer perceptron networks in modeling urban change: a case study. - Hossein Shafizadeh-Moghadam; Julian Hagenauer; Manuchehr Farajzadeh; Marco Helbich (Int. J. Geogr. Inf. Sci., 2015)

An Exploration of Future Patterns of the Contributions to OpenStreetMap and Development of a Contribution Index. - Jamal Jokar Arsanjani; Peter Mooney; Marco Helbich; Alexander Zipf (Trans. GIS, 2015)

An Introduction to OpenStreetMap in Geographic Information Science: Experiences, Research, and Applications. - Jamal Jokar Arsanjani; Alexander Zipf; Peter Mooney; Marco Helbich (OpenStreetMap in GIScience, 2015)

SPAWNN: A Toolkit for SPatial Analysis With Self-Organizing Neural Networks. - Julian Hagenauer; Marco Helbich (Trans. GIS, 2016)

Spatially varying coefficient models in real estate: Eigenvector spatial filtering and alternative approaches. - Marco Helbich; Daniel A. Griffith (Comput. Environ. Urban Syst., 2016)

Data on Healthy Food Accessibility in Amsterdam, The Netherlands. - Marco Helbich; Julian Hagenauer (Data, 2017)

A comparative study of machine learning classifiers for modeling travel mode choice. - Julian Hagenauer; Marco Helbich (Expert Syst. Appl., 2017)

Frontiers in Spatial and Spatiotemporal Crime Analytics - An Editorial. - Marco Helbich; Michael Leitner (ISPRS Int. J. Geo Inf., 2017)

Local modelling of land consumption in Germany with RegioClust. - Julian Hagenauer; Marco Helbich (Int. J. Appl. Earth Obs. Geoinformation, 2018)

The land transformation model-cluster framework: Applying k-means and the Spark computing environment for large scale land change analytics. - Hichem Omrani; Benoit Parmentier; Marco Helbich; Bryan C. Pijanowski (Environ. Model. Softw., 2019)

Assessing the performance of 38 machine learning models: the case of land consumption rates in Bavaria, Germany. - Julian Hagenauer; Hichem Omrani; Marco Helbich (Int. J. Geogr. Inf. Sci., 2019)

A Spatial Agent-Based Model to Assess the Spread of Malaria in Relation to Anti-Malaria Interventions in Southeast Iran. - Navid Mahdizadeh Gharakhanlou; Navid Hooshangi; Marco Helbich (ISPRS Int. J. Geo Inf., 2020)

The Relationship between Near-Repeat Street Robbery and the Environment: Evidence from Malmö, Sweden. - Markus Rasmusson; Marco Helbich (ISPRS Int. J. Geo Inf., 2020)

Advances in portable sensing for urban environments: Understanding cities from a mobility perspective. - Amit Birenboim; Marco Helbich; Mei-Po Kwan (Comput. Environ. Urban Syst., 2021)

A geographically weighted artificial neural network. - Julian Hagenauer; Marco Helbich (Int. J. Geogr. Inf. Sci., 2022)

Ecological Associations between Obesity Prevalence and Neighborhood Determinants Using Spatial Machine Learning in Chicago, Illinois, USA. - Aynaz Lotfata; Stefanos Georganos; Stamatis Kalogirou; Marco Helbich (ISPRS Int. J. Geo Inf., 2022)

Letter to the Editor in reference to the article entitled '4D-GWR: geographically, altitudinal, and temporally weighted regression'. - Marco Helbich; Julian Hagenauer (Neural Comput. Appl., 2023)

To use or not to use proprietary street view images in (health and place) research? That is the question. - Marco Helbich; Matthew Danish; S. M. Labib; Britta Ricker (CoRR, 2024)

A citizen science toolkit to collect human perceptions of urban environments using open street view images. - Matthew Danish; S. M. Labib; Britta Ricker; Marco Helbich (Comput. Environ. Urban Syst., 2025)