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)

Visualization of geologic geospatial datasets through X3D in the frame of WebGIS. - Frederik von Reumont; Jamal Jokar Arsanjani; Andreas Riedl (Int. J. Digit. Earth, 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)

Semantic Interoperability of Sensor Data with Volunteered Geographic Information: A Unified Model. - Mohamed Bakillah; Steve H. L. Liang; Alexander Zipf; Jamal Jokar Arsanjani (ISPRS Int. J. Geo Inf., 2013)

Fine-resolution population mapping using OpenStreetMap points-of-interest. - Mohamed Bakillah; Steve H. L. Liang; Amin Mobasheri; Jamal Jokar Arsanjani; Alexander Zipf (Int. J. Geogr. Inf. Sci., 2014)

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

An assessment of a collaborative mapping approach for exploring land use patterns for several European metropolises. - Jamal Jokar Arsanjani; Eric Vaz (Int. J. Appl. Earth Obs. Geoinformation, 2015)

Understanding the potential relationship between the socio-economic variables and contributions to OpenStreetMap. - Jamal Jokar Arsanjani; Mohamed Bakillah (Int. J. Digit. Earth, 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)

Spatiotemporal monitoring of Bakhtegan Lake's areal fluctuations and an exploration of its future status by applying a cellular automata model. - Taghi Jokar Arsanjani; Reza Javidan; Mohamad Jafar Nazemosadat; Jamal Jokar Arsanjani; Eric Vaz (Comput. Geosci., 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)

Quality Assessment of the Contributed Land Use Information from OpenStreetMap Versus Authoritative Datasets. - Jamal Jokar Arsanjani; Peter Mooney; Alexander Zipf; Anne Schauss (OpenStreetMap in GIScience, 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)

Technical Guidelines to Extract and Analyze VGI from Different Platforms. - Levente Juhász; Adam Rousell; Jamal Jokar Arsanjani (Data, 2016)

Assessing the suitability of GlobeLand30 for mapping land cover in Germany. - Jamal Jokar Arsanjani; Linda See; Amin Tayyebi (Int. J. Digit. Earth, 2016)

FSAUA: A framework for sensitivity analysis and uncertainty assessment in historical and forecasted land use maps. - Amin Tayyebi; Amir Hossein Tayyebi; Jamal Jokar Arsanjani; Hossein Shafizadeh-Moghadam; Hichem Omrani (Environ. Model. Softw., 2016)

Investigating the Feasibility of Geo-Tagged Photographs as Sources of Land Cover Input Data. - Vyron Antoniou; Cidália Costa Fonte; Linda See; Jacinto Estima; Jamal Jokar Arsanjani; Flavio Lupia; Marco Minghini; Giles M. Foody; Steffen Fritz (ISPRS Int. J. Geo Inf., 2016)

Improving the Quality of Citizen Contributed Geodata through Their Historical Contributions: The Case of the Road Network in OpenStreetMap. - Afsaneh Nasiri; Rahim Ali Abbaspour; Alireza Chehreghan; Jamal Jokar Arsanjani (ISPRS Int. J. Geo Inf., 2018)

Characterizing and monitoring global landscapes using GlobeLand30 datasets: the first decade of the twenty-first century. - Jamal Jokar Arsanjani (Int. J. Digit. Earth, 2019)

Placing Wikimapia: an exploratory analysis. - Andrea Ballatore; Jamal Jokar Arsanjani (Int. J. Geogr. Inf. Sci., 2019)

Post-Disaster Building Database Updating Using Automated Deep Learning: An Integration of Pre-Disaster OpenStreetMap and Multi-Temporal Satellite Data. - Saman Ghaffarian; Norman Kerle; Edoardo Pasolli; Jamal Jokar Arsanjani (Remote. Sens., 2019)

Does Land Use and Landscape Contribute to Self-Harm? A Sustainability Cities Framework. - Eric Vaz; Richard Ross Shaker; Michael D. Cusimano; Luís Loures; Jamal Jokar Arsanjani (Data, 2020)

Deep Learning for Detecting and Classifying Ocean Objects: Application of YoloV3 for Iceberg-Ship Discrimination. - Frederik Seerup Hass; Jamal Jokar Arsanjani (ISPRS Int. J. Geo Inf., 2020)

A multi-sensor approach for characterising human-made structures by estimating area, volume and population based on sentinel data and deep learning. - Casper Samsø Fibæk; Carsten Keßler; Jamal Jokar Arsanjani (Int. J. Appl. Earth Obs. Geoinformation, 2021)

Geodata-driven approaches to financial inclusion - Addressing the challenge of proximity. - Casper Samsø Fibæk; Hanna Laufer; Carsten Keßler; Jamal Jokar Arsanjani (Int. J. Appl. Earth Obs. Geoinformation, 2021)

Prediction of Groundwater Level Variations in a Changing Climate: A Danish Case Study. - Rebeca Quintero Gonzalez; Jamal Jokar Arsanjani (ISPRS Int. J. Geo Inf., 2021)

A New Integrated Approach for Municipal Landfill Siting Based on Urban Physical Growth Prediction: A Case Study Mashhad Metropolis in Iran. - Salman Qureshi; Saman Nadizadeh Shorabeh; Najmeh Neysani Samany; Foad Minaei; Mehdi Homaee; Fatemeh Nickravesh; Mohammad Karimi Firozjaei; Jamal Jokar Arsanjani (Remote. Sens., 2021)

Exploratory Analysis of Driving Force of Wildfires in Australia: An Application of Machine Learning within Google Earth Engine. - Andrea Sulova; Jamal Jokar Arsanjani (Remote. Sens., 2021)

A Spatial Decision Support Approach for Flood Vulnerability Analysis in Urban Areas: A Case Study of Tehran. - Rasoul Afsari; Saman Nadizadeh Shorabeh; Mostafa Kouhnavard; Mehdi Homaee; Jamal Jokar Arsanjani (ISPRS Int. J. Geo Inf., 2022)

Landslide Susceptibility Mapping Using Machine Learning: A Danish Case Study. - Angelina Ageenko; Lærke Christina Hansen; Kevin Lundholm Lyng; Lars Bodum; Jamal Jokar Arsanjani (ISPRS Int. J. Geo Inf., 2022)

Perspectives on "Earth Observation and GIScience for Agricultural Applications". - Flavio Lupia; Jamal Jokar Arsanjani; Cidália Costa Fonte; Giuseppe Pulighe (ISPRS Int. J. Geo Inf., 2022)

A deep learning method for creating globally applicable population estimates from sentinel data. - Casper Samsø Fibæk; Carsten Keßler; Jamal Jokar Arsanjani; Marcia Luz Trillo (Trans. GIS, 2022)

Using Artificial Neural Networks to Assess Earthquake Vulnerability in Urban Blocks of Tehran. - Rasoul Afsari; Saman Nadizadeh Shorabeh; Amir Reza Bakhshi Lomer; Mehdi Homaee; Jamal Jokar Arsanjani (Remote. Sens., 2023)

Assessing the Effect of Urban Growth on Surface Ecological Status Using Multi-Temporal Satellite Imagery: A Multi-City Analysis. - Mohammad Karimi Firozjaei; Naeim Mijani; Saman Nadizadeh Shorabeh; Yasin Kazemi; Yasser Ebrahimian Ghajari; Jamal Jokar Arsanjani; Majid Kiavarz; Seyed Kazem Alavipanah (ISPRS Int. J. Geo Inf., 2023)

Forecasting Spatiotemporal Dynamics of Daytime Surface Urban Cool Islands in Response to Urbanization in Drylands: Case Study of Kerman and Zahedan Cities, Iran. - Mohammad Karimi Firozjaei; Naeim Mijani; Solmaz Fathololoumi; Jamal Jokar Arsanjani (Remote. Sens., 2024)

Monitoring vegetation dynamics across land use types in Iran: spatiotemporal relationships with soil temperature and water volume. - Sepideh Behroozeh; Asadollah Khoorani; Hadi Eskandari Damaneh; Jamal Jokar Arsanjani (Earth Sci. Informatics, 2025)