Articles published in Journal of Remote Sensing & GIS have been cited by esteemed scholars and scientists all around the world. Journal of Remote Sensing & GIS has got h-index 20, which means every article in Journal of Remote Sensing & GIS has got 20 average citations.

Following are the list of articles that have cited the articles published in Journal of Remote Sensing & GIS.

  2022 2021 2020 2019 2018

Year wise published articles

61 76 48 13 31

Year wise citations received

304 294 211 148 74
Journal total citations count 1229
Journal Impact Factor 1.58
Journal 5 years Impact Factor 2.63
Journal CiteScore 4.47
Journal h-index 20
Important citations

Assessment and prediction of seasonal land surface temperature change using multi-temporal Landsat images and their impacts on agricultural yields in Rajshahi, Bangladesh

A hybrid approach for monitoring future thermal environment in tropical areas

Geospatial Modeling and Prediction of Land Use/Cover Dynamics in Onitsha Metropolis, Nigeria: A Sub-pixel Approach

Assessing and predicting landfill surface temperature using remote sensing and an artificial neural network

Wetland Restoration Prioritization Using Artificial Neural Networks

Geospatial Analysis of Land Use/Cover Dynamics in Awka Metropolis, Nigeria: A Sub-pixel Approach

DEVELOPING AN AUTOMATED METHOD FOR THE APPLICATION OF LIDAR IN IUMAT LAND-USE MODEL: ANALYSIS OF LAND-USE CHANGES USING BUILDING-FORM PARAMETERIZATION, GIS, AND ARTIFICIAL NEURAL NETWORKS 

Analyzing the Pattern of Land Use Land Cover Change and its Impact on Land Surface Temperature: A Remote Sensing Approach in Mymensingh, Bangladesh

Geo-simulation of land use/cover scenarios and impacts on land surface temperature in Sapporo, Japan

Patterns of Historical and Future Urban Expansion in Nepal

Spatiotemporal Analysis of Land Use/Cover Patterns and Their Relationship with Land Surface Temperature in Nanjing, China

Remote sensing approach to simulate the land use/land cover and seasonal land surface temperature change using machine learning algorithms in a fastest-growing megacity of Bangladesh

Mapping urban land surface temperature using remote sensing techniques and artificial neural network modelling

Prediction of seasonal urban thermal field variance index using machine learning algorithms in Cumilla, Bangladesh

Analysis and simulation of land cover changes and their impacts on land surface temperature in a lower Himalayan region

Modelling future land use land cover changes and their impacts on land surface temperatures in Rajshahi, Bangladesh

Dynamic Land Use Changes and Detecting the Direction of Urbanization Using Remote Sensing Technique in the Major Urban Centers of Cumilla, Bangladesh

Temporal Dynamic Analysis of Land-use Change and its Economic Evaluation During a 21-year Period in a Diverse Land-use Conguration

Machine-learning algorithms for land use dynamics in Lake Haramaya Watershed, Ethiopia

A Review on Land Use and Land Cover Change in Ethiopian Basins