Mokhtar Mohammadi

13.7k total citations
100 papers, 3.2k citations indexed

About

Mokhtar Mohammadi is a scholar working on Artificial Intelligence, Civil and Structural Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mokhtar Mohammadi has authored 100 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 22 papers in Civil and Structural Engineering and 22 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mokhtar Mohammadi's work include Tunneling and Rock Mechanics (16 papers), Drilling and Well Engineering (15 papers) and Image and Signal Denoising Methods (14 papers). Mokhtar Mohammadi is often cited by papers focused on Tunneling and Rock Mechanics (16 papers), Drilling and Well Engineering (15 papers) and Image and Signal Denoising Methods (14 papers). Mokhtar Mohammadi collaborates with scholars based in Iraq, Iran and Pakistan. Mokhtar Mohammadi's co-authors include Mohammad Khishe, Arsalan Mahmoodzadeh, Shima Rashidi, Hawkar Hashim Ibrahim, Hunar Farid Hama Ali, Nabeel Ali Khan, Adil Hussein Mohammed, Sarkhel H. Taher Karim, Tarik A. Rashid and Hamid Reza Nejati and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Mokhtar Mohammadi

96 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mokhtar Mohammadi Iraq 33 830 750 536 446 444 100 3.2k
Mohammad Khishe Iran 35 1.8k 2.2× 362 0.5× 361 0.7× 445 1.0× 612 1.4× 153 4.2k
Rui Yong China 33 449 0.5× 715 1.0× 160 0.3× 528 1.2× 564 1.3× 152 3.5k
Reza Malekian South Africa 39 519 0.6× 319 0.4× 1.4k 2.5× 819 1.8× 713 1.6× 198 5.3k
Jiankai Xue China 10 1.2k 1.4× 277 0.4× 264 0.5× 204 0.5× 540 1.2× 18 3.6k
G. V. Loganathan United States 20 2.2k 2.7× 1.4k 1.9× 392 0.7× 485 1.1× 465 1.0× 63 5.9k
Saiedeh Razavi Canada 20 593 0.7× 273 0.4× 307 0.6× 159 0.4× 311 0.7× 76 2.8k
James Llinas United States 18 2.0k 2.4× 156 0.2× 893 1.7× 251 0.6× 744 1.7× 78 4.2k
Kezhi Mao Singapore 28 2.1k 2.5× 408 0.5× 173 0.3× 162 0.4× 859 1.9× 125 6.1k
Aboelmagd Noureldin Canada 39 2.0k 2.5× 707 0.9× 413 0.8× 968 2.2× 699 1.6× 313 6.3k
Dan Simon United States 35 2.6k 3.1× 309 0.4× 433 0.8× 169 0.4× 377 0.8× 136 5.7k

Countries citing papers authored by Mokhtar Mohammadi

Since Specialization
Citations

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

Fields of papers citing papers by Mokhtar Mohammadi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mokhtar Mohammadi

This figure shows the co-authorship network connecting the top 25 collaborators of Mokhtar Mohammadi. A scholar is included among the top collaborators of Mokhtar Mohammadi 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 Mokhtar Mohammadi. Mokhtar Mohammadi 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.
Tanveer, Jawad, Amir Masoud Rahmani, Mohammad Sadegh Yousefpoor, et al.. (2025). Computational intelligence-based routing schemes in flying ad-hoc networks (FANETs): A review. Vehicular Communications. 53. 100913–100913. 2 indexed citations
2.
Mahmoodzadeh, Arsalan, et al.. (2024). Advanced computational models for accurate fracture toughness prediction in diverse concrete types: Insights from a robust laboratory database. Engineering Fracture Mechanics. 314. 110757–110757.
3.
Hosseinzadeh, Mehdi, Amir Haider, Mazhar Hussain Malik, et al.. (2024). Enhanced heart sound classification using Mel frequency cepstral coefficients and comparative analysis of single vs. ensemble classifier strategies. PLoS ONE. 19(12). e0316645–e0316645. 3 indexed citations
4.
Mahmoodzadeh, Arsalan, Hamid Reza Nejati, Adil Hussein Mohammed, et al.. (2023). Prediction of minimum horizontal stress in oil wells using recurrent neural networks. Geoenergy Science and Engineering. 223. 211560–211560. 7 indexed citations
5.
Albaijan, Ibrahim, Arsalan Mahmoodzadeh, Adil Hussein Mohammed, et al.. (2023). Estimating the initial fracture energy of concrete using various machine learning techniques. Engineering Fracture Mechanics. 295. 109776–109776. 6 indexed citations
6.
7.
Wang, Le, Mohammad Khishe, Mokhtar Mohammadi, & Arsalan Mahmoodzadeh. (2022). Extreme learning machine evolved by fuzzified hunger games search for energy and individual thermal comfort optimization. Journal of Building Engineering. 60. 105187–105187. 19 indexed citations
8.
Khishe, Mohammad, Mokhtar Mohammadi, & Adil Hussein Mohammed. (2022). Complex active sonar targets recognition using variable length deep convolutional neural network evolved by biogeography-based optimizer. Waves in Random and Complex Media. 36(1). 330–354. 6 indexed citations
9.
Martín, Diego, et al.. (2022). Classification of Marine Mammals Using the Trained Multilayer Perceptron Neural Network with the Whale Algorithm Developed with the Fuzzy System. Computational Intelligence and Neuroscience. 2022. 1–21. 11 indexed citations
10.
Khishe, Mohammad, et al.. (2022). DCNN-FuzzyWOA: Artificial Intelligence Solution for Automatic Detection of COVID-19 Using X-Ray Images. Computational Intelligence and Neuroscience. 2022. 1–11. 22 indexed citations
11.
Rahmani, Amir M., Morteza Naserbakht, Mokhtar Mohammadi, et al.. (2022). Automatic COVID-19 detection mechanisms and approaches from medical images: a systematic review. Multimedia Tools and Applications. 81(20). 28779–28798. 16 indexed citations
12.
Mahmoodzadeh, Arsalan, Hamid Reza Nejati, Mokhtar Mohammadi, et al.. (2022). Forecasting tunnel boring machine penetration rate using LSTM deep neural network optimized by grey wolf optimization algorithm. Expert Systems with Applications. 209. 118303–118303. 81 indexed citations
13.
Khishe, Mohammad, et al.. (2022). Niching chimp optimization for constraint multimodal engineering optimization problems. Expert Systems with Applications. 198. 116887–116887. 57 indexed citations
14.
15.
Mohammadi, Mokhtar, Tarik A. Rashid, Sarkhel H. Taher Karim, et al.. (2021). A comprehensive survey and taxonomy of the SVM-based intrusion detection systems. Journal of Network and Computer Applications. 178. 102983–102983. 174 indexed citations
16.
Wang, Xusheng, et al.. (2021). Pulmonary Diffuse Airspace Opacities Diagnosis from Chest X-Ray Images Using Deep Convolutional Neural Networks Fine-Tuned by Whale Optimizer. Wireless Personal Communications. 124(2). 1355–1374. 28 indexed citations
17.
Hosseinzadeh, Mehdi, Mohammad Masdari, Amir Masoud Rahmani, et al.. (2021). Improved Butterfly Optimization Algorithm for Data Placement and Scheduling in Edge Computing Environments. Journal of Grid Computing. 19(2). 44 indexed citations
18.
Karim, Sarkhel H. Taher, et al.. (2020). Fall Detection Using Neural Network Based on Internet of Things Streaming Data. SHILAP Revista de lepidopterología. 4(2). 91–98. 3 indexed citations
19.
Khan, Nabeel Ali, Sadiq Ali, Mokhtar Mohammadi, & Muhammad Haneef. (2019). Direction of arrival estimation of sources with intersecting signature in time–frequency domain using a combination of IF estimation and MUSIC algorithm. Multidimensional Systems and Signal Processing. 31(2). 549–567. 18 indexed citations
20.
Anvari, Rasoul, et al.. (2017). Seismic Random Noise Attenuation Using Synchrosqueezed Wavelet Transform and Low-Rank Signal Matrix Approximation. IEEE Transactions on Geoscience and Remote Sensing. 55(11). 6574–6581. 159 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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