Fatemeh Mekanik

692 total citations
22 papers, 540 citations indexed

About

Fatemeh Mekanik is a scholar working on Environmental Engineering, Global and Planetary Change and Electrical and Electronic Engineering. According to data from OpenAlex, Fatemeh Mekanik has authored 22 papers receiving a total of 540 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Environmental Engineering, 17 papers in Global and Planetary Change and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Fatemeh Mekanik's work include Hydrological Forecasting Using AI (17 papers), Climate variability and models (15 papers) and Energy Load and Power Forecasting (6 papers). Fatemeh Mekanik is often cited by papers focused on Hydrological Forecasting Using AI (17 papers), Climate variability and models (15 papers) and Energy Load and Power Forecasting (6 papers). Fatemeh Mekanik collaborates with scholars based in Australia, Malaysia and Bangladesh. Fatemeh Mekanik's co-authors include Monzur Alam Imteaz, Shirley Gato-Trinidad, Amgad Elmahdi, H. M. Rasel, Amin Talei, Iqbal Hossain, Rashid Farooq and Teang Shui Lee and has published in prestigious journals such as Journal of Hydrology, Climate Dynamics and Environmental Earth Sciences.

In The Last Decade

Fatemeh Mekanik

22 papers receiving 522 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fatemeh Mekanik Australia 8 366 365 176 129 107 22 540
Vinit Sehgal United States 12 260 0.7× 350 1.0× 228 1.3× 137 1.1× 50 0.5× 19 543
Farhad Alizadeh Iran 14 257 0.7× 237 0.6× 178 1.0× 75 0.6× 46 0.4× 30 481
Chen-Min Kuo Taiwan 10 192 0.5× 235 0.6× 134 0.8× 98 0.8× 56 0.5× 14 422
Nelson Jesus Ferreira Brazil 7 197 0.5× 251 0.7× 96 0.5× 187 1.4× 78 0.7× 16 441
Kai Lun Chong Malaysia 12 265 0.7× 210 0.6× 184 1.0× 63 0.5× 83 0.8× 20 462
Hung-Wei Tseng Taiwan 7 182 0.5× 173 0.5× 107 0.6× 74 0.6× 51 0.5× 12 348
Hirad Abghari Iran 12 291 0.8× 460 1.3× 307 1.7× 99 0.8× 67 0.6× 23 689
Hakan Tongal Türkiye 12 370 1.0× 311 0.9× 336 1.9× 62 0.5× 84 0.8× 18 556
Changsam Jeong South Korea 12 115 0.3× 312 0.9× 143 0.8× 158 1.2× 50 0.5× 33 457
Meral Büyükyıldız Türkiye 10 283 0.8× 230 0.6× 240 1.4× 72 0.6× 55 0.5× 31 480

Countries citing papers authored by Fatemeh Mekanik

Since Specialization
Citations

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

Fields of papers citing papers by Fatemeh Mekanik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fatemeh Mekanik

This figure shows the co-authorship network connecting the top 25 collaborators of Fatemeh Mekanik. A scholar is included among the top collaborators of Fatemeh Mekanik 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 Fatemeh Mekanik. Fatemeh Mekanik 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.
Farooq, Rashid, Monzur Alam Imteaz, & Fatemeh Mekanik. (2025). A pioneering approach to deterministic rainfall forecasting for wet period in the Northern Territory of Australia using machine learning. Earth Science Informatics. 18(2). 3 indexed citations
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Mekanik, Fatemeh, et al.. (2022). Dynamic Neuro-Fuzzy Systems for Forecasting El Niño Southern Oscillation (ENSO) Using Oceanic and Continental Climate Parameters as Inputs. Journal of Marine Science and Engineering. 10(8). 1161–1161. 6 indexed citations
4.
Hossain, Iqbal, H. M. Rasel, Fatemeh Mekanik, & Monzur Alam Imteaz. (2020). Artificial neural network modelling technique in predicting Western Australian seasonal rainfall. International Journal of Water. 14(1). 14–14. 6 indexed citations
5.
Imteaz, Monzur Alam, et al.. (2019). A hybrid wavelet neural network (HWNN) for forecasting rainfall using temperature and climate indices. IOP Conference Series Earth and Environmental Science. 351(1). 12003–12003. 6 indexed citations
6.
Hossain, Iqbal, H. M. Rasel, Monzur Alam Imteaz, & Fatemeh Mekanik. (2019). Long-term seasonal rainfall forecasting using linear and non-linear modelling approaches: a case study for Western Australia. Meteorology and Atmospheric Physics. 132(1). 131–141. 69 indexed citations
7.
Mekanik, Fatemeh & Monzur Alam Imteaz. (2018). Variability of cool seasonal rainfall associated with Indo-Pacific climate modes: case study of Victoria, Australia. Journal of Water and Climate Change. 9(3). 584–597. 2 indexed citations
8.
Hossain, Iqbal, H. M. Rasel, Monzur Alam Imteaz, & Fatemeh Mekanik. (2018). Long-term seasonal rainfall forecasting: efficiency of linear modelling technique. Environmental Earth Sciences. 77(7). 39 indexed citations
9.
Mekanik, Fatemeh, Monzur Alam Imteaz, & H. M. Rasel. (2017). Multiple regression modelling approach for rainfall prediction using large-scale climate indices as potential predictors. International Journal of Water. 11(3). 209–209. 2 indexed citations
10.
Rasel, H. M., Monzur Alam Imteaz, & Fatemeh Mekanik. (2017). Multiple regression modelling approach for rainfall prediction using large-scale climate indices as potential predictors. International Journal of Water. 11(3). 209–209. 7 indexed citations
11.
Rasel, H. M., Monzur Alam Imteaz, & Fatemeh Mekanik. (2016). Investigating the influence of Remote Climate Drivers as the Predictors in Forecasting South Australian spring rainfall. International Journal of Environmental Research. 10(1). 1–12. 13 indexed citations
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Mekanik, Fatemeh, Monzur Alam Imteaz, & Amin Talei. (2015). Seasonal rainfall forecasting by adaptive network-based fuzzy inference system (ANFIS) using large scale climate signals. Climate Dynamics. 46(9-10). 3097–3111. 89 indexed citations
15.
Mekanik, Fatemeh, et al.. (2013). Capability of Artificial Neural Networks for predicting long-term seasonal rainfalls in east Australia. Piantadosi, J., Anderssen, R.S. and Boland J. (eds) MODSIM2013, 20th International Congress on Modelling and Simulation. 3 indexed citations
16.
Mekanik, Fatemeh, et al.. (2013). Analysing lagged ENSO and IOD as potential predictors for long-term rainfall forecasting using multiple regression modelling. Piantadosi, J., Anderssen, R.S. and Boland J. (eds) MODSIM2013, 20th International Congress on Modelling and Simulation. 4 indexed citations
17.
Mekanik, Fatemeh, Monzur Alam Imteaz, Shirley Gato-Trinidad, & Amgad Elmahdi. (2013). Multiple regression and Artificial Neural Network for long-term rainfall forecasting using large scale climate modes. Journal of Hydrology. 503. 11–21. 250 indexed citations
18.
Mekanik, Fatemeh & Monzur Alam Imteaz. (2012). A Multivariate Artificial Neural Network Approach for Rainfall Forecasting: Case Study of Victoria, Australia. Swinburne Research Bank (Swinburne University of Technology). 1. 557. 2 indexed citations
19.
Mekanik, Fatemeh & Monzur Alam Imteaz. (2012). Forecasting Victorian spring rainfall using ENSO and IOD: A comparison of linear multiple regression and nonlinear ANN. 86–89. 15 indexed citations
20.
Mekanik, Fatemeh, et al.. (2011). Rainfall modeling using Artificial Neural Network for a mountainous region in West Iran. Chan, F., Marinova, D. and Anderssen, R.S. (eds) MODSIM2011, 19th International Congress on Modelling and Simulation.. 8 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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