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Abolghasem Sadeghi-Niaraki

Biographic Data

ID6320774
NAMEAbolghasem Sadeghi-Niaraki
GIVEN NAMESAbolghasem
FAMILY NAMESadeghi-Niaraki
SIGNATURESADEGHI-NIARAKI A
AFFILIATIONSGeoinformation Technology Center of Excellence, Faculty of Geodesy and Geomatics Engineering, K.N. Toosi University of Technology, Tehran 19697, Iran
VERIFIEDNo
TOTAL WORKS4
TOTAL CITATIONS9
AUTHOR COUNT4
EDITOR COUNT0
FIRST PUBLICATION YEAR2019
LATEST PUBLICATION YEAR2026
H-INDEX1
  • Measuring Cognitive Load Index in Online Learning

    Open Access•Fatema Rahimi, Abolghasem Sadeghi-Niaraki et al.•ARTICLE•Journal of Computer Assisted…•2026

  • Covid-19 Risk Mapping with Considering Socio-Economic Criteria Using Machine Learning Algorithms

    Open Access•Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi-Niaraki et al.•ARTICLE•International Journal of…•2021

    The reduction of population concentration in some urban land uses is one way to prevent and reduce the spread of COVID-19 disease. Therefore, the objective of this study is to prepare the risk mapping of COVID-19 in Tehran, Iran, using machine learning algorithms according to socio-economic criteria of land use. Initially, a spatial database was created using 2282 locations of patients with COVID-19 from 2 February 2020 to 21 March 2020 and eight…

  • A volunteered geographic information system for monitoring and managing urban crimes

    Mohammadreza Jelokhani-Niaraki, Mohammadreza Jelokhani‐Niaraki et al.•ARTICLE•Police Practice and Research•2020

    Crime occurrence is an ever-increasing social problem of Tehran city. Crime management for this city requires social action, public participation or community-oriented policing. In this regard, Volunteered Geographic Information (VGI) systems can be of great support to community policing efforts. By employing such systems, members of the society can act as active, intelligent, responsible, location-aware, mobile, and distributed sensors in order …

  • A GIS-based decision support system for facilitating participatory urban renewal process

    Open Access•Morteza Omidipoor, Mohammadreza Jelokhani-Niaraki et al.•ARTICLE•Land Use Policy•2019•Cited by: 9•References: 51

  • A GIS-based decision support system for facilitating participatory urban renewal process

    Open Access•Morteza Omidipoor, Mohammadreza Jelokhani-Niaraki et al.•ARTICLE•Land Use Policy•2019•Cited by: 9•References: 51

  • A GIS-based decision support system for facilitating participatory urban renewal process

    Open Access•Morteza Omidipoor, Mohammadreza Jelokhani-Niaraki et al.•ARTICLE•Land Use Policy•2019•Cited by: 9•References: 51

  • A volunteered geographic information system for monitoring and managing urban crimes

    Mohammadreza Jelokhani-Niaraki, Mohammadreza Jelokhani‐Niaraki et al.•ARTICLE•Police Practice and Research•2020

    Crime occurrence is an ever-increasing social problem of Tehran city. Crime management for this city requires social action, public participation or community-oriented policing. In this regard, Volunteered Geographic Information (VGI) systems can be of great support to community policing efforts. By employing such systems, members of the society can act as active, intelligent, responsible, location-aware, mobile, and distributed sensors in order …

  • Covid-19 Risk Mapping with Considering Socio-Economic Criteria Using Machine Learning Algorithms

    Open Access•Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi-Niaraki et al.•ARTICLE•International Journal of…•2021

    The reduction of population concentration in some urban land uses is one way to prevent and reduce the spread of COVID-19 disease. Therefore, the objective of this study is to prepare the risk mapping of COVID-19 in Tehran, Iran, using machine learning algorithms according to socio-economic criteria of land use. Initially, a spatial database was created using 2282 locations of patients with COVID-19 from 2 February 2020 to 21 March 2020 and eight…

  • Measuring Cognitive Load Index in Online Learning

    Open Access•Fatema Rahimi, Abolghasem Sadeghi-Niaraki et al.•ARTICLE•Journal of Computer Assisted…•2026

Computer Science (3 works) · Business (2 works) · Engineering (2 works) · Geographic information system (2 works) · Geographic Information Systems Studies (2 works) · Geography (2 works) · Logistic regression (2 works) · Adaptive neuro fuzzy inference system (1 works) · Algorithm (1 works) · Artificial Intelligence (1 works)

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