Mohammad Kakooei

1.9k total citations · 2 hit papers
26 papers, 1.3k citations indexed

About

Mohammad Kakooei is a scholar working on Ecology, Media Technology and Environmental Engineering. According to data from OpenAlex, Mohammad Kakooei has authored 26 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Ecology, 11 papers in Media Technology and 9 papers in Environmental Engineering. Recurrent topics in Mohammad Kakooei's work include Remote-Sensing Image Classification (11 papers), Remote Sensing in Agriculture (10 papers) and Remote Sensing and LiDAR Applications (7 papers). Mohammad Kakooei is often cited by papers focused on Remote-Sensing Image Classification (11 papers), Remote Sensing in Agriculture (10 papers) and Remote Sensing and LiDAR Applications (7 papers). Mohammad Kakooei collaborates with scholars based in Iran, Sweden and Canada. Mohammad Kakooei's co-authors include Meisam Amani, Arsalan Ghorbanian, Sahel Mahdavi, Brian Brisco, Yasser Baleghi, Armin Moghimi, S. Mohammad Mirmazloumi, Seyed Ali Ahmadi, Qiusheng Wu and Masoud Ghahremanloo and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and International Journal of Remote Sensing.

In The Last Decade

Mohammad Kakooei

23 papers receiving 1.3k citations

Hit Papers

align trajectories

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 →
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. ISPRS Journal of Photogrammetry and Remote Sensing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mohammad Kakooei Iran	12	633	598	389	262	231	26	1.3k
Armin Moghimi Iran	22	725 1.1×	550 0.9×	460 1.2×	299 1.1×	268 1.2×	52	1.6k
Jianyu Yang China	18	670 1.1×	534 0.9×	265 0.7×	278 1.1×	268 1.2×	50	1.3k
Darius Phiri Zambia	15	727 1.1×	636 1.1×	372 1.0×	282 1.1×	268 1.2×	47	1.4k
Stefanos Georganos Belgium	19	693 1.1×	386 0.6×	382 1.0×	240 0.9×	300 1.3×	45	1.5k
M. Joseph Hughes United States	6	706 1.1×	791 1.3×	439 1.1×	247 0.9×	230 1.0×	8	1.3k
Laurence Hubert‐Moy France	22	559 0.9×	737 1.2×	437 1.1×	161 0.6×	215 0.9×	40	1.3k
Jiantao Liu China	13	542 0.9×	519 0.9×	484 1.2×	249 1.0×	262 1.1×	30	1.2k
Koreen Millard Canada	19	551 0.9×	668 1.1×	445 1.1×	238 0.9×	131 0.6×	32	1.3k
Kenneth Grogan Denmark	12	718 1.1×	660 1.1×	322 0.8×	216 0.8×	185 0.8×	17	1.3k

Countries citing papers authored by Mohammad Kakooei

Since Specialization

Citations

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

Fields of papers citing papers by Mohammad Kakooei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Kakooei

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Kakooei. A scholar is included among the top collaborators of Mohammad Kakooei 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 Kakooei. Mohammad Kakooei 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

Amani, Meisam, Mohammad Kakooei, Sahel Mahdavi, et al.. (2025). The present situation and shifts observed in wetlands within the St. Lawrence Seaway region of Canada, utilizing imagery from the Landsat archive and the cloud-based platform Google Earth Engine. Big Earth Data. 9(1). 47–71.

Kakooei, Mohammad & Adel Daoud. (2024). Increasing the Confidence of Predictive Uncertainty: Earth Observations and Deep Learning for Poverty Estimation. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–13.

Kakooei, Mohammad & Yasser Baleghi. (2024). Mapping Building Heights at Large Scales Using Sentinel-1 Radar Imagery and Nighttime Light Data. Remote Sensing. 16(18). 3371–3371.

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

Verrelst, Jochem, et al.. (2023). Satellite-Based Estimation of Soil Moisture Content in Croplands: A Case Study in Golestan Province, North of Iran. Remote Sensing. 15(8). 2155–2155. 16 indexed citations

Kakooei, Mohammad & Yasser Baleghi. (2023). Spatial-Temporal analysis of urban environmental variables using building height features. Urban Climate. 52. 101736–101736. 7 indexed citations

Kakooei, Mohammad, et al.. (2023). Time Series of Satellite Imagery Improve Deep Learning Estimates of Neighborhood-Level Poverty in Africa. 6165–6173. 7 indexed citations

Mirmazloumi, S. Mohammad, Mohammad Kakooei, Farzane Mohseni, et al.. (2022). ELULC-10, a 10 m European Land Use and Land Cover Map Using Sentinel and Landsat Data in Google Earth Engine. Remote Sensing. 14(13). 3041–3041. 28 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

10.

Amani, Meisam, Sahel Mahdavi, Mohammad Kakooei, et al.. (2021). Wetland Change Analysis in Alberta, Canada Using Four Decades of Landsat Imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14. 10314–10335. 37 indexed citations

11.

Kakooei, Mohammad, Yasser Baleghi, & Meisam Amani. (2021). Adaptive thresholding for detecting building facades with or without openings in single-view oblique remote sensing images. Journal of Applied Remote Sensing. 15(3). 2 indexed citations

12.

Amani, Meisam, Mohammad Kakooei, Armin Moghimi, et al.. (2020). Application of Google Earth Engine Cloud Computing Platform, Sentinel Imagery, and Neural Networks for Crop Mapping in Canada. Remote Sensing. 12(21). 3561–3561. 64 indexed citations

13.

Ghorbanian, Arsalan, Mohammad Kakooei, Meisam Amani, et al.. (2020). 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. ISPRS Journal of Photogrammetry and Remote Sensing. 167. 276–288. 253 indexed citations breakdown →

14.

Kakooei, Mohammad & Yasser Baleghi. (2020). VHR Semantic Labeling by Random Forest Classification and Fusion of Spectral and Spatial Features on Google Earth Engine. SHILAP Revista de lepidopterología. 8(3). 357–370. 3 indexed citations

15.

Amani, Meisam, Arsalan Ghorbanian, Seyed Ali Ahmadi, et al.. (2020). Google Earth Engine Cloud Computing Platform for Remote Sensing Big Data Applications: A Comprehensive Review. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 13. 5326–5350. 701 indexed citations breakdown →

16.

Amani, Meisam, Brian Brisco, Sahel Mahdavi, et al.. (2020). Evaluation of the Landsat-Based Canadian Wetland Inventory Map Using Multiple Sources: Challenges of Large-Scale Wetland Classification Using Remote Sensing. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14. 32–52. 31 indexed citations

17.

Kakooei, Mohammad & Yasser Baleghi. (2020). Shadow detection in very high resolution RGB images using a special thresholding on a new spectral–spatial index. Journal of Applied Remote Sensing. 14(1). 1–1. 12 indexed citations

18.

Kakooei, Mohammad, Andrea Nascetti, & Yifang Ban. (2018). Sentinel-1 Global Coverage Foreshortening Mask Extraction: an Open Source Implementation Based on Google Earth Engine. 6836–6839. 8 indexed citations

19.

Kakooei, Mohammad & Yasser Baleghi. (2017). Fusion of satellite, aircraft, and UAV data for automatic disaster damage assessment. International Journal of Remote Sensing. 38(8-10). 2511–2534. 94 indexed citations

20.

Ayatollahi, Ahmad, et al.. (2014). A novel method of applying directional filter bank (DFB) for Finger-Knuckle-Print (FKP) recognition. 100. 500–504. 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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