Mohammad Zamani

667 total citations
26 papers, 365 citations indexed

About

Mohammad Zamani is a scholar working on Artificial Intelligence, Environmental Engineering and Water Science and Technology. According to data from OpenAlex, Mohammad Zamani has authored 26 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Environmental Engineering and 8 papers in Water Science and Technology. Recurrent topics in Mohammad Zamani's work include Target Tracking and Data Fusion in Sensor Networks (8 papers), Hydrological Forecasting Using AI (6 papers) and Inertial Sensor and Navigation (6 papers). Mohammad Zamani is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (8 papers), Hydrological Forecasting Using AI (6 papers) and Inertial Sensor and Navigation (6 papers). Mohammad Zamani collaborates with scholars based in Iran, Australia and Oman. Mohammad Zamani's co-authors include Mohammad Reza Nikoo, Robert Mahony, Jochen Trumpf, Amir H. Gandomi, Ghazi Al-Rawas, Ali Moridi, Jafar Yazdi, Malik Al-Wardy, Stephen Kofi Diko and Claudio I. Meier and has published in prestigious journals such as The Science of The Total Environment, IEEE Transactions on Automatic Control and Journal of Cleaner Production.

In The Last Decade

Mohammad Zamani

25 papers receiving 357 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohammad Zamani Iran 11 133 128 72 71 64 26 365
Wenjie Qiu China 8 138 1.0× 88 0.7× 26 0.4× 27 0.4× 32 0.5× 22 286
Jean-Baptiste Aubin France 9 157 1.2× 136 1.1× 34 0.5× 9 0.1× 53 0.8× 19 451
Can Elmar Balas Türkiye 12 104 0.8× 23 0.2× 30 0.4× 51 0.7× 27 0.4× 38 403
Tim Braun Germany 7 145 1.1× 80 0.6× 15 0.2× 22 0.3× 105 1.6× 10 271
Charles V. Privette United States 9 99 0.7× 144 1.1× 14 0.2× 48 0.7× 42 0.7× 22 322
Mengjiao Qin China 10 105 0.8× 37 0.3× 67 0.9× 12 0.2× 58 0.9× 20 408
P. Mallikarjuna India 14 205 1.5× 172 1.3× 51 0.7× 9 0.1× 135 2.1× 30 649
Calvin B. Sawyer United States 8 92 0.7× 143 1.1× 17 0.2× 43 0.6× 45 0.7× 12 315
J. J. Niemeier United States 8 142 1.1× 156 1.2× 15 0.2× 33 0.5× 163 2.5× 25 435

Countries citing papers authored by Mohammad Zamani

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Zamani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Zamani

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Zamani. A scholar is included among the top collaborators of Mohammad Zamani 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 Zamani. Mohammad Zamani 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.
Nikoo, Mohammad Reza, Mohammad Zamani, Ghazi Al-Rawas, et al.. (2025). Cluster-based downscaling of precipitation using Kolmogorov-Arnold Neural Networks and CMIP6 models: Insights from Oman. Journal of Environmental Management. 380. 124971–124971. 2 indexed citations
2.
Nikoo, Mohammad Reza, et al.. (2025). Enhancing long-term water quality forecasting with a hybrid deep-learning approach integrating MODWT, CNN, and GRU. Hydrological Sciences Journal. 71(2). 270–293.
3.
Nikoo, Mohammad Reza, et al.. (2025). Future projections of thermal and chemical stratifications in reservoir under the impact of climate change. The Science of The Total Environment. 984. 179722–179722. 1 indexed citations
4.
Nikoo, Mohammad Reza, et al.. (2024). Mapping reservoir water quality from Sentinel-2 satellite data based on a new approach of weighted averaging: Application of Bayesian maximum entropy. Scientific Reports. 14(1). 16438–16438. 11 indexed citations
5.
Zamani, Mohammad, et al.. (2024). Hybrid WT–CNN–GRU-based model for the estimation of reservoir water quality variables considering spatio-temporal features. Journal of Environmental Management. 358. 120756–120756. 34 indexed citations
6.
Zamani, Mohammad, et al.. (2023). Developing sustainable strategies by LID optimization in response to annual climate change impacts. Journal of Cleaner Production. 416. 137931–137931. 25 indexed citations
7.
Zamani, Mohammad, et al.. (2023). A multi-model data fusion methodology for reservoir water quality based on machine learning algorithms and bayesian maximum entropy. Journal of Cleaner Production. 416. 137885–137885. 42 indexed citations
8.
Zamani, Mohammad, et al.. (2023). A comparative study of data-driven models for runoff, sediment, and nitrate forecasting. Journal of Environmental Management. 341. 118006–118006. 39 indexed citations
9.
Niksokhan, Mohammad Hossein, et al.. (2023). Optimal waste load allocation in river systems based on a new multi-objective cuckoo optimization algorithm. Environmental Science and Pollution Research. 30(60). 126116–126131. 7 indexed citations
10.
Zamani, Mohammad, et al.. (2023). Forecasting water quality variable using deep learning and weighted averaging ensemble models. Environmental Science and Pollution Research. 30(59). 124316–124340. 24 indexed citations
11.
Zamani, Mohammad, Ali Moridi, & Jafar Yazdi. (2022). Groundwater management in arid and semi-arid regions. Arabian Journal of Geosciences. 15(4). 33 indexed citations
12.
Zamani, Mohammad, Ali Moridi, & Jafar Yazdi. (2020). Determining the Groundwater Quality Protection Zone by Considering the Vulnerability of Aquifer. 16(1). 1–16. 1 indexed citations
13.
Zamani, Mohammad, et al.. (2019). Collaborative Pose Filtering Using Relative Measurements and Communications. Asian Control Conference. 919–924. 1 indexed citations
14.
Zamani, Mohammad & Jochen Trumpf. (2019). Discrete update pose filter on the special Euclidean group SE(3). ANU Open Research (Australian National University). 635–641. 1 indexed citations
15.
Zamani, Mohammad, Jochen Trumpf, & Robert Mahony. (2014). On the distance to optimality of the geometric approximate minimum-energy attitude filter. ANU Open Research (Australian National University). 4943–4948. 7 indexed citations
16.
Zamani, Mohammad, et al.. (2013). Performance evaluation of PEMC liquid level detection sensors subjected to temperature variation. 1–4. 4 indexed citations
17.
Zamani, Mohammad, Jochen Trumpf, & Robert Mahony. (2013). Minimum-Energy Filtering for Attitude Estimation. IEEE Transactions on Automatic Control. 58(11). 2917–2921. 45 indexed citations
18.
Zamani, Mohammad, Jochen Trumpf, & Robert Mahony. (2012). Minimum-Energy Pose Filtering on the Special Euclidean Group. ANU Open Research (Australian National University). 3 indexed citations
19.
Zamani, Mohammad, Jochen Trumpf, & Robert Mahony. (2012). A second order minimum-energy filter on the special orthogonal group. 1895–1900. 6 indexed citations
20.
Zamani, Mohammad, Jochen Trumpf, & Robert Mahony. (2011). Minimum-energy filtering on the unit circle. ANU Open Research (Australian National University). 236–241. 4 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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