Jamil Amanollahi

878 total citations
31 papers, 710 citations indexed

About

Jamil Amanollahi is a scholar working on Environmental Engineering, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, Jamil Amanollahi has authored 31 papers receiving a total of 710 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Environmental Engineering, 13 papers in Global and Planetary Change and 12 papers in Atmospheric Science. Recurrent topics in Jamil Amanollahi's work include Air Quality Monitoring and Forecasting (15 papers), Atmospheric chemistry and aerosols (8 papers) and Air Quality and Health Impacts (7 papers). Jamil Amanollahi is often cited by papers focused on Air Quality Monitoring and Forecasting (15 papers), Atmospheric chemistry and aerosols (8 papers) and Air Quality and Health Impacts (7 papers). Jamil Amanollahi collaborates with scholars based in Iran, Greece and Malaysia. Jamil Amanollahi's co-authors include Chris G. Tzanis, Mohammad Darand, Mohammad Firuz Ramli, Ahmad Makmom Abdullah, Afsaneh Ghasemi, Saied Pirasteh, Alireza Rahimpour, Behzad Shahmoradi, Seung‐Mok Lee and Moo Joon Shim and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Environmental Pollution.

In The Last Decade

Jamil Amanollahi

29 papers receiving 695 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jamil Amanollahi Iran 16 357 259 254 226 104 31 710
Barbara Tomassetti Italy 14 380 1.1× 296 1.1× 301 1.2× 225 1.0× 206 2.0× 28 741
Liguo Zhou China 14 325 0.9× 218 0.8× 259 1.0× 118 0.5× 133 1.3× 49 865
Marco Verdecchia Italy 17 465 1.3× 536 2.1× 311 1.2× 495 2.2× 244 2.3× 40 1.1k
Kaixu Bai China 21 569 1.6× 534 2.1× 542 2.1× 732 3.2× 64 0.6× 58 1.2k
Alessandro Bigi Italy 15 362 1.0× 264 1.0× 525 2.1× 472 2.1× 74 0.7× 49 899
Mete Tayanç Türkiye 20 444 1.2× 502 1.9× 407 1.6× 524 2.3× 88 0.8× 40 1.1k
Daniel Dunea Romania 12 241 0.7× 76 0.3× 284 1.1× 77 0.3× 56 0.5× 61 542
Jing Xiang Chung Malaysia 17 307 0.9× 530 2.0× 447 1.8× 543 2.4× 91 0.9× 39 1.0k
Ida‐Maja Hassellöv Sweden 16 346 1.0× 89 0.3× 171 0.7× 221 1.0× 35 0.3× 46 862
Meiling Gao China 15 603 1.7× 265 1.0× 625 2.5× 403 1.8× 32 0.3× 45 1.3k

Countries citing papers authored by Jamil Amanollahi

Since Specialization
Citations

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

Fields of papers citing papers by Jamil Amanollahi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jamil Amanollahi

This figure shows the co-authorship network connecting the top 25 collaborators of Jamil Amanollahi. A scholar is included among the top collaborators of Jamil Amanollahi 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 Jamil Amanollahi. Jamil Amanollahi 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.
Amanollahi, Jamil, et al.. (2025). Prediction of soil erosion control ecosystem service using machine learning based on the ANN model in Asia. Environmental and Sustainability Indicators. 26. 100723–100723.
2.
Amanollahi, Jamil, et al.. (2023). Prediction of air quality using vertical atmospheric condition and developing hybrid models. Advances in Space Research. 72(4). 1172–1182. 4 indexed citations
4.
Shahmoradi, Behzad, et al.. (2020). Influence of iron mining activity on heavy metal contamination in the sediments of the Aqyazi River, Iran. Environmental Monitoring and Assessment. 192(8). 521–521. 19 indexed citations
5.
Rahimpour, Alireza, Jamil Amanollahi, & Chris G. Tzanis. (2020). Air quality data series estimation based on machine learning approaches for urban environments. Air Quality Atmosphere & Health. 14(2). 191–201. 31 indexed citations
6.
Amanollahi, Jamil, et al.. (2019). Environmental pollution and geo-ecological risk assessment of the Qhorveh mining area in western Iran. Environmental Pollution. 253. 811–820. 49 indexed citations
7.
Amanollahi, Jamil, et al.. (2019). Evaluation of linear, nonlinear, and hybrid models for predicting PM2.5 based on a GTWR model and MODIS AOD data. Air Quality Atmosphere & Health. 12(10). 1215–1224. 42 indexed citations
8.
Amanollahi, Jamil, et al.. (2019). PM2.5 concentration forecasting using ANFIS, EEMD-GRNN, MLP, and MLR models: a case study of Tehran, Iran. Air Quality Atmosphere & Health. 13(2). 161–171. 27 indexed citations
9.
Amanollahi, Jamil, et al.. (2018). Fuzzy risk assessment modelling of wild animal life in Bijar protected area. Ecological Modelling. 387. 49–60. 2 indexed citations
10.
Darand, Mohammad, et al.. (2017). Evaluation of the performance of TRMM Multi-satellite Precipitation Analysis (TMPA) estimation over Iran. Atmospheric Research. 190. 121–127. 106 indexed citations
11.
Amanollahi, Jamil, et al.. (2017). Estimating solar radiation using NOAA/AVHRR and ground measurement data. Atmospheric Research. 199. 93–102. 20 indexed citations
12.
Amanollahi, Jamil, et al.. (2016). Evaluating the accuracy of ANN and LR models to estimate the water quality in Zarivar International Wetland, Iran. Natural Hazards. 85(3). 1511–1527. 25 indexed citations
13.
Amanollahi, Jamil, et al.. (2016). Monitoring infestations of oak forests by Tortrix viridana (Lepidoptera: Tortricidae) using remote sensing. Plant Protection Science. 52(4). 270–276. 9 indexed citations
14.
Ghorbani, Farshid, et al.. (2015). SPATIAL DISTRIBUTION AND ANALYSIS OF HEAVY METAL POLLUTION IN URBAN ROADSIDE DUSTS FROM SANANDAJ, IRAN. SHILAP Revista de lepidopterología. 3(1). 33–41. 2 indexed citations
15.
Amanollahi, Jamil, Chris G. Tzanis, Mohammad Firuz Ramli, & Ahmad Makmom Abdullah. (2015). Urban heat evolution in a tropical area utilizing Landsat imagery. Atmospheric Research. 167. 175–182. 42 indexed citations
16.
Amanollahi, Jamil, et al.. (2014). Effect of the temperature variation between Mediterranean Sea and Syrian deserts on the dust storm occurrence in the western half of Iran. Atmospheric Research. 154. 116–125. 27 indexed citations
17.
Amanollahi, Jamil, Chris G. Tzanis, Ahmad Makmom Abdullah, Mohammad Firuz Ramli, & Saied Pirasteh. (2013). Development of the models to estimate particulate matter from thermal infrared band of Landsat Enhanced Thematic Mapper. International Journal of Environmental Science and Technology. 10(6). 1245–1254. 33 indexed citations
18.
Amanollahi, Jamil, et al.. (2011). PM10 using remotely sensed data and GIS techniques, Klang Valley, Malaysia.. Universiti Putra Malaysia Institutional Repository (Universiti Putra Malaysia). 4 indexed citations
19.
Amanollahi, Jamil, et al.. (2011). PM10 Distribution using Remotely Sensed Data and GIS Techniques; Klang Valley, Malaysia. SHILAP Revista de lepidopterología. 2 indexed citations
20.
Amanollahi, Jamil, et al.. (2011). Accuracy assessment of moderate resolution image spectroradiometer products for dust storms in semiarid environment. International Journal of Environmental Science and Technology. 8(2). 373–380. 19 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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