Meisam Amani

5.6k total citations · 3 hit papers
98 papers, 4.1k citations indexed

About

Meisam Amani is a scholar working on Ecology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Meisam Amani has authored 98 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Ecology, 45 papers in Global and Planetary Change and 42 papers in Environmental Engineering. Recurrent topics in Meisam Amani's work include Remote Sensing in Agriculture (34 papers), Remote-Sensing Image Classification (22 papers) and Flood Risk Assessment and Management (20 papers). Meisam Amani is often cited by papers focused on Remote Sensing in Agriculture (34 papers), Remote-Sensing Image Classification (22 papers) and Flood Risk Assessment and Management (20 papers). Meisam Amani collaborates with scholars based in Iran, Canada and China. Meisam Amani's co-authors include Sahel Mahdavi, Brian Brisco, Arsalan Ghorbanian, Bahram Salehi, Armin Moghimi, Mohammad Kakooei, S. Mohammad Mirmazloumi, Jean Granger, Weimin Huang and Seyd Teymoor Seydi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Meisam Amani

94 papers receiving 4.1k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Google Earth Engine Cloud Computing Platform for Remote Sensing Big Data Applications: A Comprehensive Review

2020 701 citations Meisam Amani, Arsalan Ghorbanian et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing profile →
Remote sensing for wetland classification: a comprehensive review

2017 280 citations Sahel Mahdavi, Bahram Salehi et al. profile →
Improved land cover map of Iran using Sentinel imagery within Google Earth Engine and a novel automatic workflow for land cover classification using migrated training samples

2020 253 citations Arsalan Ghorbanian, Mohammad Kakooei et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Meisam Amani Iran	32	2.1k	1.9k	1.4k	878	630	98	4.1k
George P. Petropoulos Greece	41	2.3k 1.1×	1.6k 0.9×	2.0k 1.4×	1.4k 1.6×	668 1.1×	208	5.0k
Bahram Salehi Canada	34	2.5k 1.2×	2.4k 1.3×	1.8k 1.3×	823 0.9×	936 1.5×	101	4.8k
Masoud Mahdianpari Canada	34	2.5k 1.2×	2.5k 1.3×	1.9k 1.4×	902 1.0×	1.0k 1.6×	134	5.6k
Martin Claverie United States	18	1.9k 0.9×	2.3k 1.2×	1.3k 1.0×	720 0.8×	405 0.6×	37	3.6k
John Nicol United Kingdom	15	2.7k 1.3×	2.1k 1.1×	1.6k 1.1×	1.5k 1.7×	969 1.5×	27	5.7k
Min Feng China	28	2.1k 1.0×	1.7k 0.9×	1.1k 0.8×	808 0.9×	342 0.5×	95	3.6k
Sahel Mahdavi Canada	25	1.5k 0.7×	1.4k 0.7×	934 0.7×	535 0.6×	381 0.6×	49	2.8k
Aqil Tariq United States	45	2.7k 1.3×	1.5k 0.8×	1.8k 1.3×	1.2k 1.3×	547 0.9×	229	5.6k
Philippe Martimort Netherlands	9	1.3k 0.6×	1.9k 1.0×	1.2k 0.9×	636 0.7×	702 1.1×	24	3.3k
Ferran Gascon Italy	24	2.2k 1.0×	3.2k 1.7×	2.0k 1.4×	1.0k 1.2×	1.1k 1.7×	88	5.3k

Countries citing papers authored by Meisam Amani

Since Specialization

Citations

This map shows the geographic impact of Meisam Amani'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 Meisam Amani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meisam Amani more than expected).

Fields of papers citing papers by Meisam Amani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Meisam Amani. 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 Meisam Amani. The network helps show where Meisam Amani may publish in the future.

Co-authorship network of co-authors of Meisam Amani

This figure shows the co-authorship network connecting the top 25 collaborators of Meisam Amani. A scholar is included among the top collaborators of Meisam Amani 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 Meisam Amani. Meisam Amani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Seydi, Seyd Teymoor, Seyed Ali Ahmadi, Arsalan Ghorbanian, & Meisam Amani. (2024). Land Cover Mapping in a Mangrove Ecosystem Using Hybrid Selective Kernel-Based Convolutional Neural Networks and Multi-Temporal Sentinel-2 Imagery. Remote Sensing. 16(15). 2849–2849. 7 indexed citations

Mohseni, Farzane, et al.. (2023). Wetland Mapping in Great Lakes Using Sentinel-1/2 Time-Series Imagery and DEM Data in Google Earth Engine. Remote Sensing. 15(14). 3495–3495. 11 indexed citations

Amani, Meisam, Fatemeh Foroughnia, Armin Moghimi, Sahel Mahdavi, & Shuanggen Jin. (2023). Three-Dimensional Mapping of Habitats Using Remote-Sensing Data and Machine-Learning Algorithms. Remote Sensing. 15(17). 4135–4135. 8 indexed citations

Amani, Meisam, Mohammad Kakooei, Arsalan Ghorbanian, et al.. (2022). Forty Years of Wetland Status and Trends Analyses in the Great Lakes Using Landsat Archive Imagery and Google Earth Engine. Remote Sensing. 14(15). 3778–3778. 28 indexed citations

Amani, Meisam, Farzane Mohseni, Seyed Ali Ahmadi, et al.. (2022). Remote Sensing Systems for Ocean: A Review (Part 2: Active Systems). IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15. 1421–1453. 22 indexed citations

Ghorbanian, Arsalan, Seyed Ali Ahmadi, Meisam Amani, Ali Mohammadzadeh, & Sadegh Jamali. (2022). Application of Artificial Neural Networks for Mangrove Mapping Using Multi-Temporal and Multi-Source Remote Sensing Imagery. Water. 14(2). 244–244. 31 indexed citations

Amani, Meisam, et al.. (2022). Object-based hyperspectral image classification using a new latent block model based on hidden Markov random fields. Pattern Analysis and Applications. 25(2). 467–481. 9 indexed citations

Amani, Meisam, Soroosh Mehravar, Reza Mohammadi Asiyabi, et al.. (2022). Ocean Remote Sensing Techniques and Applications: A Review (Part II). Water. 14(21). 3401–3401. 22 indexed citations

DeLancey, Evan R., et al.. (2022). Creating a Detailed Wetland Inventory with Sentinel-2 Time-Series Data and Google Earth Engine in the Prairie Pothole Region of Canada. Remote Sensing. 14(14). 3401–3401. 8 indexed citations

10.

Seydi, Seyd Teymoor, Meisam Amani, & Arsalan Ghorbanian. (2022). A Dual Attention Convolutional Neural Network for Crop Classification Using Time-Series Sentinel-2 Imagery. Remote Sensing. 14(3). 498–498. 44 indexed citations

11.

Amani, Meisam, et al.. (2021). InSAR Coherence Analysis for Wetlands in Alberta, Canada Using Time-Series Sentinel-1 Data. Remote Sensing. 13(16). 3315–3315. 14 indexed citations

12.

Mirzadeh, Sayyed Mohammad Javad, Shuanggen Jin, Esmaeel Parizi, et al.. (2021). Characterization of Irreversible Land Subsidence in the Yazd‐Ardakan Plain, Iran From 2003 to 2020 InSAR Time Series. Journal of Geophysical Research Solid Earth. 126(11). 29 indexed citations

13.

Latifi, Hooman, et al.. (2021). A Training Sample Migration Method for Wetland Mapping and Monitoring Using Sentinel Data in Google Earth Engine. Remote Sensing. 13(20). 4169–4169. 40 indexed citations

14.

Hasanlou, Mahdi, et al.. (2021). Machine learning inversion approach for soil parameters estimation over vegetated agricultural areas using a combination of water cloud model and calibrated integral equation model. Journal of Applied Remote Sensing. 15(1). 29 indexed citations

15.

Ghorbanian, Arsalan, et al.. (2021). Mangrove Ecosystem Mapping Using Sentinel-1 and Sentinel-2 Satellite Images and Random Forest Algorithm in Google Earth Engine. Remote Sensing. 13(13). 2565–2565. 125 indexed citations

16.

Mirmazloumi, S. Mohammad, Armin Moghimi, Babak Ranjgar, et al.. (2021). Status and Trends of Wetland Studies in Canada Using Remote Sensing Technology with a Focus on Wetland Classification: A Bibliographic Analysis. Remote Sensing. 13(20). 4025–4025. 24 indexed citations

17.

Mahdavi, Sahel, Bahram Salehi, Weimin Huang, Meisam Amani, & Brian Brisco. (2019). A PolSAR Change Detection Index Based on Neighborhood Information for Flood Mapping. Remote Sensing. 11(16). 1854–1854. 51 indexed citations

18.

Mahdavi, Sahel, Bahram Salehi, Meisam Amani, et al.. (2019). A dynamic classification scheme for mapping spectrally similar classes: Application to wetland classification. International Journal of Applied Earth Observation and Geoinformation. 83. 101914–101914. 38 indexed citations

19.

Amani, Meisam, Sahel Mahdavi, Brian Brisco, et al.. (2019). Canadian Wetland Inventory using Google Earth Engine: The First Map and Preliminary Results. Remote Sensing. 11(7). 842–842. 156 indexed citations

20.

Amani, Meisam, et al.. (2014). ANALYSE DE PHENOMÈNES HYDROLOGIQUES DANS UN BASSIN VERSANT URBANISÉ: CAS DE LA VILLE DE YAMOUSSOUKRO (CENTRE DE LA COTE D’IVOIRE). Larhyss journal. 11(17). 135–154. 9 indexed citations

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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