Mohammad Rezaee

844 citations
10 papers · 644 indexed · 1 hit paper · h-index 8
Topics
Remote-Sensing Image Classification (6 papers)Remote Sensing in Agriculture (5 papers)Remote Sensing and LiDAR Applications (3 papers)
Partner nations
CanadaIranChina

In The Last Decade

Mohammad Rezaee

10 papers receiving 634 citations

Hit Papers

Very Deep Convolutional Neural Networks for Complex Land ...20182026202020232018100200300

Peers

Mohammad Rezaee
Comparison fields: 5 of 87
  • Ecology 268
  • Media Technology 223
  • Global and Planetary Change 218
  • Environmental Engineering 204
  • Atmospheric Science 127
Replace Pablo Pozzobon de with:
Pablo Pozzobon de Brazil
Ali Jamali Canada
Mario Lillo‐Saavedra Chile
Mohammad D. Hossain Canada
Rémi Cresson France
Emanuele Mandanici Italy
Yumin Tan China
Xiaogang Ning China
Zhuokun Pan China
Osmar Luiz Ferreira de Carvalho Brazil
Mohammad Rezaee relative to Pablo Pozzobon de Brazil Pablo Pozzobon de's profile →
Citations per field
00.5×10×20×30×35.5×
Pablo Pozzobon de · 1×
Citations per year

Countries citing papers authored by Mohammad Rezaee

Since Specialization
Citations

This map shows the geographic impact of Mohammad Rezaee's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mohammad Rezaee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Rezaee more than expected).

Fields of papers citing papers by Mohammad Rezaee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammad Rezaee. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mohammad Rezaee. The network helps show where Mohammad Rezaee may publish in the future.

Co-authorship network of co-authors of Mohammad Rezaee

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Rezaee. A scholar is included among the top collaborators of Mohammad Rezaee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mohammad Rezaee. Mohammad Rezaee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1 19
2 31
3 3
4
Very Deep Convolutional Neural Networks for Complex Land Cover Mapping Using Multispectral Remote Sensing Imagerybreakdown →
320
5 187
6 19
7 15
8 32
9 15
10 3

About Mohammad Rezaee

Mohammad Rezaee is a scholar working on Media Technology, Environmental Engineering and Ecological Modeling, having authored 10 papers that have together received 644 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (6 papers), Remote Sensing in Agriculture (5 papers) and Remote Sensing and LiDAR Applications (3 papers). The work is most often cited by research in Media Technology (223 citations), Environmental Engineering (204 citations) and Ecology (268 citations). Mohammad Rezaee has collaborated with scholars based in Canada, Iran and China. Frequent co-authors include Yun Zhang, Masoud Mahdianpari, Bahram Salehi, Fariba Mohammadimanesh, Richard B. Langley, Saeid Homayouni, Yun Zhang, Fei Tong, Andrew Davidson and Rakesh Mishra. Their work appears in journals such as Remote Sensing, ISPRS Journal of Photogrammetry and Remote Sensing and IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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