Mohammad Bagher Menhaj

12.7k total citations · 1 hit paper
348 papers, 9.5k citations indexed

About

Mohammad Bagher Menhaj is a scholar working on Control and Systems Engineering, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Mohammad Bagher Menhaj has authored 348 papers receiving a total of 9.5k indexed citations (citations by other indexed papers that have themselves been cited), including 180 papers in Control and Systems Engineering, 103 papers in Artificial Intelligence and 87 papers in Computer Networks and Communications. Recurrent topics in Mohammad Bagher Menhaj's work include Adaptive Control of Nonlinear Systems (73 papers), Distributed Control Multi-Agent Systems (59 papers) and Advanced Control Systems Optimization (37 papers). Mohammad Bagher Menhaj is often cited by papers focused on Adaptive Control of Nonlinear Systems (73 papers), Distributed Control Multi-Agent Systems (59 papers) and Advanced Control Systems Optimization (37 papers). Mohammad Bagher Menhaj collaborates with scholars based in Iran, United States and Australia. Mohammad Bagher Menhaj's co-authors include Martin Hagan, Amir Abolfazl Suratgar, Ahmad Fakharian, M. Karrari, Jafar Tavoosi, M. Ghofrani, Hadi Davilu, Seyed Matin Malakouti, M. Ghayekhloo and Masoud Shafiee and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and Scientific Reports.

In The Last Decade

Mohammad Bagher Menhaj

329 papers receiving 9.0k citations

Hit Papers

Training feedforward networks with the Marquardt algorithm 1994 2026 2004 2015 1994 1000 2.0k 3.0k 4.0k 5.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohammad Bagher Menhaj Iran 31 2.6k 2.5k 1.9k 1.1k 985 348 9.5k
Yibing Shi China 18 3.0k 1.1× 5.1k 2.0× 2.6k 1.4× 941 0.9× 1.0k 1.1× 102 11.9k
Martin Hagan United States 22 2.3k 0.9× 3.5k 1.4× 2.8k 1.5× 453 0.4× 1.1k 1.1× 82 13.5k
Maurice Clerc Kuwait 15 2.3k 0.9× 5.0k 2.0× 2.0k 1.0× 883 0.8× 877 0.9× 39 9.9k
Yeng Chai Soh Singapore 61 5.8k 2.2× 2.5k 1.0× 2.2k 1.2× 3.0k 2.7× 1.5k 1.5× 435 12.7k
Dan Zhang China 55 3.4k 1.3× 1.3k 0.5× 1.2k 0.6× 652 0.6× 1.3k 1.4× 881 13.5k
Steven L. Brunton United States 53 3.1k 1.2× 2.5k 1.0× 1.7k 0.9× 366 0.3× 629 0.6× 212 16.9k
Tao Zhang China 48 3.2k 1.2× 1.6k 0.6× 1.7k 0.9× 734 0.7× 2.5k 2.5× 894 11.4k
Junfei Qiao China 52 3.8k 1.5× 3.7k 1.5× 1.1k 0.6× 763 0.7× 1.6k 1.6× 459 10.3k
Robert Babuška Netherlands 51 5.2k 2.0× 5.0k 2.0× 1.7k 0.9× 1.5k 1.4× 766 0.8× 336 12.4k
Abbas Khosravi Australia 64 1.9k 0.7× 5.3k 2.1× 4.8k 2.5× 452 0.4× 1.7k 1.8× 351 14.8k

Countries citing papers authored by Mohammad Bagher Menhaj

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Bagher Menhaj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Bagher Menhaj

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Bagher Menhaj. A scholar is included among the top collaborators of Mohammad Bagher Menhaj 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 Bagher Menhaj. Mohammad Bagher Menhaj 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.
Malakouti, Seyed Matin, Mohammad Bagher Menhaj, & Amir Abolfazl Suratgar. (2024). Machine learning and transfer learning techniques for accurate brain tumor classification. SHILAP Revista de lepidopterología. 7. 106–119. 9 indexed citations
2.
Suratgar, Amir Abolfazl, Heidar Ali Talebi, Mahsa Arzani, et al.. (2024). Design of a computational intelligence system for detection of multiple sclerosis with visual evoked potentials. SHILAP Revista de lepidopterología. 5(1). 100177–100177. 1 indexed citations
3.
Menhaj, Mohammad Bagher, et al.. (2024). Heterogeneous Unknown Multiagent Systems of Different Relative Degrees: A Distributed Optimal Coordination Design. IEEE Systems Journal. 18(3). 1570–1580. 1 indexed citations
4.
Malakouti, Seyed Matin, Mohammad Bagher Menhaj, & Amir Abolfazl Suratgar. (2024). ML: Early Breast Cancer Diagnosis. SHILAP Revista de lepidopterología. 13. 100278–100278. 11 indexed citations
5.
Malakouti, Seyed Matin, et al.. (2024). Advanced techniques for wind energy production forecasting: Leveraging multi-layer Perceptron + Bayesian optimization, ensemble learning, and CNN-LSTM models. Case Studies in Chemical and Environmental Engineering. 10. 100881–100881. 22 indexed citations
6.
Malakouti, Seyed Matin, Mohammad Bagher Menhaj, & Amir Abolfazl Suratgar. (2023). Machine learning techniques for classifying dangerous asteroids. MethodsX. 11. 102337–102337. 7 indexed citations
7.
Menhaj, Mohammad Bagher, et al.. (2022). Utilizing Function Approximation Technique and Neural Network Controllers on a 2-DOF Painter Robot. 202–208. 1 indexed citations
8.
Menhaj, Mohammad Bagher, et al.. (2022). An effective Reinforcement Learning method for preventing the overfitting of Convolutional Neural Networks. Research Padua Archive (University of Padua). 2(5). 3 indexed citations
9.
Menhaj, Mohammad Bagher, et al.. (2022). Wearable Sensor-Based Human Activity Recognition in the Smart Healthcare System. Computational Intelligence and Neuroscience. 2022. 1–31. 73 indexed citations
10.
Shirani, Amir Saeed, et al.. (2020). Design and application of supervisory control based on neural network PID controllers for pressurizer system. Progress in Nuclear Energy. 130. 103570–103570. 23 indexed citations
11.
Ghayekhloo, M. & Mohammad Bagher Menhaj. (2017). Combination of Transformed-Means clustering and neural networks for short-term solar radiation forecasting. SHILAP Revista de lepidopterología. 49(2). 187–194. 2 indexed citations
12.
Ghassemi, Hassan, et al.. (2017). Control System Design for a Surface Effect Ship by Linear-Quadratic Regulator Method. SHILAP Revista de lepidopterología. 4 indexed citations
13.
Ghayekhloo, M., M. Ghofrani, Mohammad Bagher Menhaj, & Rasool Azimi. (2015). A novel clustering approach for short-term solar radiation forecasting. Solar Energy. 122. 1371–1383. 63 indexed citations
14.
Menhaj, Mohammad Bagher, et al.. (2015). Modified Convex Data Clustering Algorithm Based on Alternating Direction Method of Multipliers. 8(2). 33–41. 1 indexed citations
15.
G., Hamed Shakouri, et al.. (2014). INTRODUCTION TO A SIMPLE YET EFFECTIVE TWO-DIMENSIONAL FUZZY SMOOTHING FILTER. Iranian journal of fuzzy systems. 11(3). 1–26. 2 indexed citations
16.
Azimi, Vahid, Mohammad Bagher Menhaj, & Ahmad Fakharian. (2014). Fuzzy Mixed-Sensitivity Control of Uncertain Nonlinear Induction Motor. SHILAP Revista de lepidopterología. 8(229). 45–53. 3 indexed citations
19.
Rostami, Mostafa, et al.. (2010). Differences in center of pressure trajectory between normal and steppage gait. SHILAP Revista de lepidopterología.
20.
Sæbø, Svein, Mohammad Bagher Menhaj, Syed Saad Azhar Ali, & Saeed Salehi. (2006). A new evolution based training method for dynamic synapse neural networks.. Computational intelligence. 192–197. 1 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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