John van Genderen

John van Genderen

Universiteit Twente

H-index: 28

Europe-Netherlands

About John van Genderen

John van Genderen, With an exceptional h-index of 28 and a recent h-index of 19 (since 2020), a distinguished researcher at Universiteit Twente, specializes in the field of Earth Observation, Remote Sensing, Geoinformatics, Environment.

His recent articles reflect a diverse array of research interests and contributions to the field:

Artificial intelligence for sustainable development of smart cities and urban land-use management

Urban Sprawl Simulation Mapping of Urmia (Iran) by Comparison of Cellular Automata–Markov Chain and Artificial Neural Network (ANN) Modeling Approach

Simulation of Urban Sprawl by Comparison Cellular Automata-Markov and ANN

Fusion of the multisource datasets for flood extent mapping based on ensemble convolutional neural network (CNN) model

Research Article Fusion of the Multisource Datasets for Flood Extent Mapping Based on Ensemble Convolutional Neural Network (CNN) Model

An efficient built-up land expansion model using a modified U-Net

Prediction of urban area expansion with implementation of MLC, SAM and SVMs’ classifiers incorporating artificial neural network using landsat data

An improved ant colony optimization-based algorithm for user-centric multi-objective path planning for ubiquitous environments

John van Genderen Information

University

Position

Prof.(Em.) Dr. .

Citations(all)

7040

Citations(since 2020)

1941

Cited By

5903

hIndex(all)

28

hIndex(since 2020)

19

i10Index(all)

48

i10Index(since 2020)

30

Email

University Profile Page

Universiteit Twente

Google Scholar

View Google Scholar Profile

John van Genderen Skills & Research Interests

Earth Observation

Remote Sensing

Geoinformatics

Environment

Top articles of John van Genderen

Title

Journal

Author(s)

Publication Date

Artificial intelligence for sustainable development of smart cities and urban land-use management

Sustainable Development

Aakash Singh

Anurag Kanaujia

Vivek Kumar Singh

Ricardo Vinuesa

2024/2

Urban Sprawl Simulation Mapping of Urmia (Iran) by Comparison of Cellular Automata–Markov Chain and Artificial Neural Network (ANN) Modeling Approach

Sustainability

Milad Asadi

Amir Oshnooei-Nooshabadi

Samira-Sadat Saleh

Fattaneh Habibnezhad

Sonia Sarafraz-Asbagh

...

2022/11/24

Simulation of Urban Sprawl by Comparison Cellular Automata-Markov and ANN

Milad Asadi

Amir Oshnooei-Nooshabadi

Samira-alsadat Saleh

Fattaneh Habibnezhad

Sonia Sarafraz-Asbagh

...

2022/8/5

Fusion of the multisource datasets for flood extent mapping based on ensemble convolutional neural network (CNN) model

Journal of Sensors

Seyd Teymoor Seydi

Vahideh Saeidi

Bahareh Kalantar

Naonori Ueda

JL van Genderen

...

2022/3/19

Research Article Fusion of the Multisource Datasets for Flood Extent Mapping Based on Ensemble Convolutional Neural Network (CNN) Model

Seyd Teymoor Seydi

Vahideh Saeidi

Bahareh Kalantar

Naonori Ueda

JL van Genderen

...

2022

An efficient built-up land expansion model using a modified U-Net

International Journal of Digital Earth

Hanieh Shojaei

Saeed Nadi

Hossein Shafizadeh-Moghadam

Amin Tayyebi

John Van Genderen

2022/12/31

Prediction of urban area expansion with implementation of MLC, SAM and SVMs’ classifiers incorporating artificial neural network using landsat data

ISPRS International Journal of Geo-Information

Saeid Zare Naghadehi

Milad Asadi

Mohammad Maleki

Seyed-Mohammad Tavakkoli-Sabour

John Lodewijk Van Genderen

...

2021/7/30

An improved ant colony optimization-based algorithm for user-centric multi-objective path planning for ubiquitous environments

Geocarto international

Zohreh Masoumi

John Van Genderen

Abolghasem Sadeghi Niaraki

2021/1/20

Sea Surface Current Velocity Retrieving from TanDAM-X Satellite Data.

International Journal of Geoinformatics

M Marghany

JL van Genderen

2021/8/1

Land use/cover change in Dinevar rural area of West Iran during 2000–2018 and its prediction for 2024 and 2030

Geogr. Tech

Mohammad Maleki

John Lodewijk Van Genderen

Seyed Mohammad Tavakkoli-Sabour

Samira Sadat Saleh

Ehsan Babaee

2020/10

Digital Earth challenges and future trends

Manual of digital earth

John van Genderen

Michael F Goodchild

Huadong Guo

Chaowei Yang

Stefano Nativi

...

2020

Understanding digital earth

Manual of digital earth

Zhen Liu

Tim Foresman

John van Genderen

Lizhe Wang

2020

See List of Professors in John van Genderen University(Universiteit Twente)

Co-Authors

H-index: 102
Andrew Skidmore

Andrew Skidmore

Universiteit Twente

H-index: 68
Z. (Bob) Su

Z. (Bob) Su

Universiteit Twente

H-index: 38
Salomon B. Kroonenberg

Salomon B. Kroonenberg

Technische Universiteit Delft

H-index: 33
Hans Blotevogel

Hans Blotevogel

Universität Wien

H-index: 32
Anupma Prakash

Anupma Prakash

University of Alaska Southeast

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