Saeideh Maleki

674 total citations
25 papers, 481 citations indexed

About

Saeideh Maleki is a scholar working on Ecology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Saeideh Maleki has authored 25 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Ecology, 15 papers in Global and Planetary Change and 7 papers in Environmental Engineering. Recurrent topics in Saeideh Maleki's work include Remote Sensing in Agriculture (9 papers), Land Use and Ecosystem Services (9 papers) and Flood Risk Assessment and Management (7 papers). Saeideh Maleki is often cited by papers focused on Remote Sensing in Agriculture (9 papers), Land Use and Ecosystem Services (9 papers) and Flood Risk Assessment and Management (7 papers). Saeideh Maleki collaborates with scholars based in Iran, France and United States. Saeideh Maleki's co-authors include Hashim Hizam, Chandima Gomes, Abbas Miri, Nick Middleton, Saeid Pourmanafi, Sassan Saatchi, A. Soffianian, Nicolas Baghdadi, Alireza Soffianian and Farid Sheikholeslam and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Scientific Reports.

In The Last Decade

Saeideh Maleki

22 papers receiving 471 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Saeideh Maleki Iran 10 180 125 114 103 76 25 481
Tomáš Cebecauer Slovakia 9 153 0.8× 203 1.6× 135 1.2× 102 1.0× 74 1.0× 17 487
Nour El Islam Bachari Algeria 9 126 0.7× 50 0.4× 50 0.4× 90 0.9× 57 0.8× 47 404
Zhenchao Li China 16 246 1.4× 171 1.4× 104 0.9× 44 0.4× 246 3.2× 60 667
Mohsen Zabihi Iran 8 213 1.2× 139 1.1× 178 1.6× 84 0.8× 253 3.3× 25 639
Emmanuel Chilekwu Okogbue Nigeria 13 303 1.7× 109 0.9× 55 0.5× 35 0.3× 121 1.6× 37 524
Shaoxiu Ma China 15 238 1.3× 38 0.3× 19 0.2× 129 1.3× 147 1.9× 49 684
Marcello Petitta Italy 16 443 2.5× 205 1.6× 247 2.2× 43 0.4× 147 1.9× 37 1.0k
Xinfa Qiu China 14 276 1.5× 119 1.0× 33 0.3× 71 0.7× 91 1.2× 68 491
Chen Lu China 17 406 2.3× 41 0.3× 49 0.4× 56 0.5× 132 1.7× 38 707
Stelios Pashiardis Cyprus 12 245 1.4× 124 1.0× 82 0.7× 42 0.4× 97 1.3× 24 537

Countries citing papers authored by Saeideh Maleki

Since Specialization
Citations

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

Fields of papers citing papers by Saeideh Maleki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saeideh Maleki

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

All Works

20 of 20 papers shown
1.
Maleki, Saeideh, et al.. (2025). Sentinel-1 (S1) time series alignment method for rapeseed fields mapping. Frontiers in Remote Sensing. 5. 2 indexed citations
2.
Baghdadi, Nicolas, et al.. (2025). Rapeseed mapping using machine learning methods and Sentinel-1 time series coupled with growing degree-days information. Science of Remote Sensing. 11. 100244–100244.
3.
Maleki, Saeideh, et al.. (2024). Machine Learning-Based Summer Crops Mapping Using Sentinel-1 and Sentinel-2 Images. Remote Sensing. 16(23). 4548–4548. 2 indexed citations
4.
Maleki, Saeideh, et al.. (2024). Determining Effective Temporal Windows for Rapeseed Detection Using Sentinel-1 Time Series and Machine Learning Algorithms. Remote Sensing. 16(3). 549–549. 6 indexed citations
5.
Maleki, Saeideh, et al.. (2023). Artificial Intelligence Algorithms for Rapeseed Fields Mapping Using Sentinel-1 Time Series: Temporal Transfer Scenario and Ground Sampling Constraints. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 16. 8884–8899. 9 indexed citations
6.
Maleki, Saeideh, et al.. (2022). Ecosystem restoration and degradation monitoring using ecological indices. International Journal of Environmental Science and Technology. 20(2). 1713–1724. 2 indexed citations
7.
Maleki, Saeideh, et al.. (2021). A method to select sites for sand and dust storm source mitigation: case study in the Sistan region of southeast Iran. Journal of Environmental Planning and Management. 64(12). 2192–2213. 22 indexed citations
8.
Maleki, Saeideh, et al.. (2021). Application of Landscape Ecology in Spatio-Temporal Change Detection of Arid Regions, Case Study: Sistan Plain. SHILAP Revista de lepidopterología.
9.
Maleki, Saeideh, et al.. (2021). Humans in the upstream can exacerbate climate change impacts on water birds’ habitat in the downstream. Scientific Reports. 11(1). 20203–20203. 2 indexed citations
10.
Maleki, Saeideh, et al.. (2021). Where are Greater Climate Change Adaptation Measures Needed in a Wetland?. Wetlands. 41(6). 2 indexed citations
11.
Miri, Abbas, Saeideh Maleki, & Nick Middleton. (2020). An investigation into climatic and terrestrial drivers of dust storms in the Sistan region of Iran in the early twenty-first century. The Science of The Total Environment. 757. 143952–143952. 78 indexed citations
12.
Hemami, Mahmoud‐Reza, et al.. (2020). The potential distribution of wintering and breeding populations of Asian HoubaraChlamydotis macqueeniiin Iran. Bird Conservation International. 31(1). 151–165. 2 indexed citations
13.
Maleki, Saeideh, et al.. (2019). Which water bird groups need greater habitat conservation measures in a wetland ecosystem?. Ecological Engineering. 143. 105677–105677. 6 indexed citations
14.
Maleki, Saeideh, et al.. (2019). Analysis of multi-frequency and multi-polarization SAR data for wetland mapping in Hamoun-e-Hirmand wetland. International Journal of Remote Sensing. 41(6). 2277–2302. 14 indexed citations
15.
Maleki, Saeideh, et al.. (2019). Human and Climate Effects on the Hamoun Wetlands. Weather Climate and Society. 11(3). 609–622. 25 indexed citations
16.
Maleki, Saeideh, et al.. (2019). Wetland Restoration Prioritization Using Artificial Neural Networks. Wetlands. 40(1). 179–192. 7 indexed citations
17.
Maleki, Saeideh, et al.. (2018). Application of Remote Sensing in Monitoring Unsustainable Wetlands: Case Study Hamun Wetland. Journal of the Indian Society of Remote Sensing. 46(11). 1871–1879. 9 indexed citations
18.
Maleki, Saeideh, Hashim Hizam, & Chandima Gomes. (2017). Estimation of Hourly, Daily and Monthly Global Solar Radiation on Inclined Surfaces: Models Re-Visited. Energies. 10(1). 134–134. 193 indexed citations
19.
Maleki, Saeideh, et al.. (2014). Geospatial modeling to identify the effects of anthropogenic processes on landscape pattern change and biodiversity. Arabian Journal of Geosciences. 8(3). 1557–1569. 9 indexed citations
20.
Amiri, Fazel, et al.. (2013). Multi-temporal landsat images based on eco-environmental change analysis in and around Chah Nimeh reservoir, Balochestan (Iran). Environmental Earth Sciences. 72(3). 801–809. 21 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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