Mahdi Farnaghi

Mahdi Farnaghi

Universiteit Twente

H-index: 14

Europe-Netherlands

About Mahdi Farnaghi

Mahdi Farnaghi, With an exceptional h-index of 14 and a recent h-index of 13 (since 2020), a distinguished researcher at Universiteit Twente, specializes in the field of Machine Learning, Spatial Analysis, Geospatial Services, Semantic Web, Big Spatial Data.

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

Modeling spatiotemporal domestic wastewater variability: Implications for measuring treatment efficiency

Event detection from geotagged tweets considering spatial autocorrelation and heterogeneity

Using machine learning techniques in multi-hazards assessment of Golestan National Park, Iran

Spatiotemporal domestic wastewater variability: Assessing implications of population mobility in pollutants dynamics

Point-of-interest recommendation using extended random walk with restart on geographical-temporal hybrid tripartite graph

iMSEP: A GIT-based digital solution for disaster management

An Agent-based Approach to Continuously Detect and Update Road Network Changes Using GPS Trajectories

Spatiotemporal data partitioning for distributed random forest algorithm: Air quality prediction using imbalanced big spatiotemporal data on spark distributed framework

Mahdi Farnaghi Information

University

Position

___

Citations(all)

618

Citations(since 2020)

503

Cited By

204

hIndex(all)

14

hIndex(since 2020)

13

i10Index(all)

20

i10Index(since 2020)

18

Email

University Profile Page

Google Scholar

Mahdi Farnaghi Skills & Research Interests

Machine Learning

Spatial Analysis

Geospatial Services

Semantic Web

Big Spatial Data

Top articles of Mahdi Farnaghi

Modeling spatiotemporal domestic wastewater variability: Implications for measuring treatment efficiency

Journal of environmental management

2024/2/1

Event detection from geotagged tweets considering spatial autocorrelation and heterogeneity

Journal of Spatial Science

2023/7/3

Mahdi Farnaghi
Mahdi Farnaghi

H-Index: 7

Using machine learning techniques in multi-hazards assessment of Golestan National Park, Iran

Natural Hazards

2023/7

Seyed Mohsen Hosseini
Seyed Mohsen Hosseini

H-Index: 5

Mahdi Farnaghi
Mahdi Farnaghi

H-Index: 7

Spatiotemporal domestic wastewater variability: Assessing implications of population mobility in pollutants dynamics

AGILE: GIScience Series

2023/6/6

Point-of-interest recommendation using extended random walk with restart on geographical-temporal hybrid tripartite graph

Journal of Spatial Science

2023/1/2

iMSEP: A GIT-based digital solution for disaster management

2023/1/1

An Agent-based Approach to Continuously Detect and Update Road Network Changes Using GPS Trajectories

2022/9/28

Reza Mohammadi
Reza Mohammadi

H-Index: 20

Mahdi Farnaghi
Mahdi Farnaghi

H-Index: 7

Spatiotemporal data partitioning for distributed random forest algorithm: Air quality prediction using imbalanced big spatiotemporal data on spark distributed framework

Environmental Technology & Innovation

2022/8/1

Mahdi Farnaghi
Mahdi Farnaghi

H-Index: 7

FLCSS: A fuzzy‐based longest common subsequence method for uncertainty management in trajectory similarity measures

Transactions in GIS

2022/8

Mohammad Sharif
Mohammad Sharif

H-Index: 7

Mahdi Farnaghi
Mahdi Farnaghi

H-Index: 7

Teaching GeoPython in a Geo-information Master Programme

2022

Barend Köbben
Barend Köbben

H-Index: 10

Mahdi Farnaghi
Mahdi Farnaghi

H-Index: 7

A versatile Cloud Computing environment to facilitate African-European partnership in research: EO AFRICA R&D Innovation Lab

2021/5/24

An ecological study of chronic kidney disease in five Mesoamerican countries: associations with crop and heat

BMC Public Health

2021/5/1

Spatial analysis of ambient air pollution and cardiovascular disease (CVD) hospitalization across Sweden

GeoHealth

2021/5

Spatiotemporally explicit earthquake prediction using deep neural network

Soil Dynamics and Earthquake Engineering

2021/5/1

Seyyed Ahmad Hosseini
Seyyed Ahmad Hosseini

H-Index: 7

Mahdi Farnaghi
Mahdi Farnaghi

H-Index: 7

Forest fire spatial modelling using ordered weighted averaging multi-criteria evaluation.

2021/2/27

Mahdi Farnaghi
Mahdi Farnaghi

H-Index: 7

SDI and the Revolutionary Technological Trends

Special Issue in ISPRS Journal of Geo-Information

2021

Analysis of spatial co-occurrence between cancer and cardiovascular disease mortality and its spatial variation among the Swedish elderly (2010–2015)

Applied Geography

2020/12/1

Blockchain, an enabling technology for transparent and accountable decentralized public participatory GIS

Cities

2020/10/1

Mahdi Farnaghi
Mahdi Farnaghi

H-Index: 7

Ali Mansourian
Ali Mansourian

H-Index: 16

Measuring the Similarity of Trajectories Using Fuzzy Theory

Journal of Geomatics Science and Technology

2020/6/10

Spatiotemporal Analysis of Nodding Syndrome in Northern Uganda 1990-2014

2020

Mahdi Farnaghi
Mahdi Farnaghi

H-Index: 7

Ali Mansourian
Ali Mansourian

H-Index: 16

See List of Professors in Mahdi Farnaghi University(Universiteit Twente)

Co-Authors

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