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 26, which means every article in Journal of Remote Sensing & GIS has got 26 average citations.
Following are the list of articles that have cited the articles published in Journal of Remote Sensing & GIS.
2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Total published articles |
59 | 61 | 76 | 48 | 13 | 31 | 34 | 33 | 18 | 25 | 11 | 13 |
Research, Review articles and Editorials |
9 | 11 | 54 | 15 | 13 | 30 | 34 | 33 | 16 | 20 | 8 | 12 |
Research communications, Review communications, Editorial communications, Case reports and Commentary |
50 | 50 | 22 | 33 | 0 | 1 | 0 | 0 | 2 | 5 | 3 | 1 |
Conference proceedings |
0 | 0 | 0 | 0 | 30 | 54 | 67 | 34 | 0 | 0 | 0 | 0 |
Citations received as per Google Scholar, other indexing platforms and portals |
375 | 451 | 419 | 285 | 214 | 136 | 73 | 0 | 0 | 0 | 0 | 0 |
Journal total citations count | 2407 |
Journal impact factor | 1.58 |
Journal 5 years impact factor | 2.63 |
Journal cite score | 4.47 |
Journal h-index | 26 |
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