Marco Helbich - Citegraph

Author Info

Name	Affiliation	Papers
MARCO HELBICH	Institute of Geography, University of Heidelberg, Heidelberg, Germany	20
Collaborators	Citations	PageRank
21	173	13.47
Referers	Referees	References
425	424	205

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100425

Publications (20 rows)

Collaborators (21 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
A Spatial Agent-Based Model to Assess the Spread of Malaria in Relation to Anti-Malaria Interventions in Southeast Iran.	0	0.34	2020
The Relationship between Near-Repeat Street Robbery and the Environment: Evidence from Malmö, Sweden.	0	0.34	2020
Assessing The Performance Of 38 Machine Learning Models: The Case Of Land Consumption Rates In Bavaria, Germany	0	0.34	2019
The land transformation model-cluster framework: Applying -means and the Spark computing environment for large scale land change analytics.	1	0.37	2019
Local modelling of land consumption in Germany with RegioClust.	2	0.36	2018
Frontiers in Spatial and Spatiotemporal Crime Analytics - An Editorial.	1	0.37	2017
Data On Healthy Food Accessibility In Amsterdam, The Netherlands	0	0.34	2017
A comparative study of machine learning classifiers for modeling travel mode choice	5	0.53	2017
SPAWNN: A Toolkit for SPatial Analysis With Self-Organizing Neural Networks.	0	0.34	2016
Spatially varying coefficient models in real estate: Eigenvector spatial filtering and alternative approaches	3	0.50	2016
The emergence and evolution of OpenStreetMap: a cellular automata approach.	13	0.79	2015
An Exploration of Future Patterns of the Contributions to OpenStreetMap and Development of a Contribution Index	11	0.64	2015
A Morphological Approach to Predicting Urban Expansion.	5	0.53	2014
Toward mapping land-use patterns from volunteered geographic information	33	1.49	2013
Contextual neural gas for spatial clustering and analysis	7	0.85	2013
Boosting the predictive accuracy of urban hedonic house price models through airborne laser scanning.	1	0.39	2013
Hierarchical self-organizing maps for clustering spatiotemporal data	4	0.43	2013
Integration of logistic regression, Markov chain and cellular automata models to simulate urban expansion.	52	2.49	2013
Mining urban land-use patterns from volunteered geographic information by means of genetic algorithms and artificial neural networks	34	1.63	2012
Evaluation of Spatial Cluster Detection Algorithms for Crime Locations.	1	0.41	2010