Davoud Ashourloo

1.2k total citations
16 papers, 862 citations indexed

About

Davoud Ashourloo is a scholar working on Ecology, Analytical Chemistry and Plant Science. According to data from OpenAlex, Davoud Ashourloo has authored 16 papers receiving a total of 862 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Ecology, 10 papers in Analytical Chemistry and 9 papers in Plant Science. Recurrent topics in Davoud Ashourloo's work include Remote Sensing in Agriculture (14 papers), Spectroscopy and Chemometric Analyses (10 papers) and Leaf Properties and Growth Measurement (5 papers). Davoud Ashourloo is often cited by papers focused on Remote Sensing in Agriculture (14 papers), Spectroscopy and Chemometric Analyses (10 papers) and Leaf Properties and Growth Measurement (5 papers). Davoud Ashourloo collaborates with scholars based in Iran, Australia and Canada. Davoud Ashourloo's co-authors include Mohammad Reza Mobasheri, Hossein Aghighi, Alfredo Huete, Mohsen Azadbakht, Hamid Salehi Shahrabi, Soheil Radiom, Ali Akbar Matkan, Abbas Alimohammadi, Saeid Homayouni and Alireza Shakiba and has published in prestigious journals such as Remote Sensing of Environment, International Journal of Remote Sensing and Remote Sensing.

In The Last Decade

Davoud Ashourloo

16 papers receiving 825 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Davoud Ashourloo Iran 12 541 537 302 154 125 16 862
Li He China 22 829 1.5× 853 1.6× 382 1.3× 246 1.6× 133 1.1× 53 1.3k
Hossein Aghighi Iran 14 415 0.8× 371 0.7× 179 0.6× 242 1.6× 181 1.4× 31 865
João Camargo Neto Brazil 9 760 1.4× 871 1.6× 259 0.9× 393 2.6× 145 1.2× 14 1.3k
Chenwei Nie China 18 673 1.2× 641 1.2× 219 0.7× 295 1.9× 155 1.2× 60 1.1k
Nadia Shakoor United States 16 592 1.1× 829 1.5× 150 0.5× 347 2.3× 65 0.5× 36 1.4k
C. Camino Spain 18 604 1.1× 641 1.2× 198 0.7× 143 0.9× 180 1.4× 35 1.1k
Heli Li China 12 837 1.5× 718 1.3× 210 0.7× 398 2.6× 105 0.8× 33 1.2k
Anting Guo China 14 465 0.9× 516 1.0× 272 0.9× 124 0.8× 85 0.7× 31 767
Xiaoqing Zhao China 8 658 1.2× 578 1.1× 180 0.6× 378 2.5× 78 0.6× 15 992
Xiaohe Gu China 18 617 1.1× 455 0.8× 203 0.7× 318 2.1× 178 1.4× 117 1.0k

Countries citing papers authored by Davoud Ashourloo

Since Specialization
Citations

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

Fields of papers citing papers by Davoud Ashourloo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Davoud Ashourloo

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

All Works

16 of 16 papers shown
1.
Shahriari, M., Hossein Aghighi, Mohsen Azadbakht, et al.. (2025). Soil moisture estimation using combined SAR and optical imagery: Application of seasonal machine learning algorithms. Advances in Space Research. 75(8). 6207–6221. 6 indexed citations
2.
Ashourloo, Davoud, et al.. (2022). A new phenology-based method for mapping wheat and barley using time-series of Sentinel-2 images. Remote Sensing of Environment. 280. 113206–113206. 45 indexed citations
3.
Kabir, Kourosh, Davoud Ashourloo, Ahmad Khosravi, et al.. (2021). Epidemic size, trend and spatiotemporal mapping of SARS-CoV-2 using geographical information system in Alborz Province, Iran. BMC Infectious Diseases. 21(1). 1185–1185. 1 indexed citations
4.
Azadbakht, Mohsen, Davoud Ashourloo, Hossein Aghighi, et al.. (2021). Alfalfa yield estimation based on time series of Landsat 8 and PROBA-V images: An investigation of machine learning techniques and spectral-temporal features. Remote Sensing Applications Society and Environment. 25. 100657–100657. 15 indexed citations
5.
Shahrabi, Hamid Salehi, et al.. (2020). Automatic silage maize detection based on phenological rules using Sentinel-2 time-series dataset. International Journal of Remote Sensing. 41(21). 8406–8427. 10 indexed citations
6.
Ashourloo, Davoud, et al.. (2020). A novel method for automatic potato mapping using time series of Sentinel-2 images. Computers and Electronics in Agriculture. 175. 105583–105583. 41 indexed citations
7.
Ashourloo, Davoud, et al.. (2019). Developing an Automatic Phenology-Based Algorithm for Rice Detection Using Sentinel-2 Time-Series Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 12(5). 1471–1481. 31 indexed citations
8.
Ashourloo, Davoud, Hamid Salehi Shahrabi, Mohsen Azadbakht, et al.. (2019). Automatic canola mapping using time series of sentinel 2 images. ISPRS Journal of Photogrammetry and Remote Sensing. 156. 63–76. 80 indexed citations
9.
Azadbakht, Mohsen, Davoud Ashourloo, Hossein Aghighi, Soheil Radiom, & Abbas Alimohammadi. (2018). Wheat leaf rust detection at canopy scale under different LAI levels using machine learning techniques. Computers and Electronics in Agriculture. 156. 119–128. 76 indexed citations
10.
Aghighi, Hossein, Mohsen Azadbakht, Davoud Ashourloo, Hamid Salehi Shahrabi, & Soheil Radiom. (2018). Machine Learning Regression Techniques for the Silage Maize Yield Prediction Using Time-Series Images of Landsat 8 OLI. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 11(12). 4563–4577. 140 indexed citations
11.
Ashourloo, Davoud, Hamid Salehi Shahrabi, Mohsen Azadbakht, et al.. (2018). A Novel Automatic Method for Alfalfa Mapping Using Time Series of Landsat-8 OLI Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 11(11). 4478–4487. 21 indexed citations
12.
Ashourloo, Davoud, et al.. (2016). An Investigation Into Machine Learning Regression Techniques for the Leaf Rust Disease Detection Using Hyperspectral Measurement. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 9(9). 4344–4351. 136 indexed citations
13.
Ashourloo, Davoud, Ali Akbar Matkan, Alfredo Huete, Hossein Aghighi, & Mohammad Reza Mobasheri. (2016). Developing an Index for Detection and Identification of Disease Stages. IEEE Geoscience and Remote Sensing Letters. 13(6). 851–855. 30 indexed citations
14.
Ashourloo, Davoud, Mohammad Reza Mobasheri, & Alfredo Huete. (2014). Evaluating the Effect of Different Wheat Rust Disease Symptoms on Vegetation Indices Using Hyperspectral Measurements. Remote Sensing. 6(6). 5107–5123. 97 indexed citations
15.
Ashourloo, Davoud, Mohammad Reza Mobasheri, & Alfredo Huete. (2014). Developing Two Spectral Disease Indices for Detection of Wheat Leaf Rust (Pucciniatriticina). Remote Sensing. 6(6). 4723–4740. 131 indexed citations
16.
Shakiba, Alireza, et al.. (2009). Analysis of Relationship between Land use/cover and Urban Heat Island using ETM+. 1(1). 39–56. 2 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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