Mohammad Farrokhi

2.4k total citations · 1 hit paper
113 papers, 1.9k citations indexed

About

Mohammad Farrokhi is a scholar working on Control and Systems Engineering, Mechanical Engineering and Biomedical Engineering. According to data from OpenAlex, Mohammad Farrokhi has authored 113 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Control and Systems Engineering, 18 papers in Mechanical Engineering and 15 papers in Biomedical Engineering. Recurrent topics in Mohammad Farrokhi's work include Adaptive Control of Nonlinear Systems (39 papers), Advanced Control Systems Optimization (22 papers) and Fault Detection and Control Systems (20 papers). Mohammad Farrokhi is often cited by papers focused on Adaptive Control of Nonlinear Systems (39 papers), Advanced Control Systems Optimization (22 papers) and Fault Detection and Control Systems (20 papers). Mohammad Farrokhi collaborates with scholars based in Iran, United Kingdom and United States. Mohammad Farrokhi's co-authors include Mohammad Charkhgard, Alireza Alfi, Amir M. Rahmani, Ali Kazemy, Ashkan Jasour, Ali J. Koshkouei, Masoud Mohebbi, Rassoul Noorossana, Abbas Saghaei and Mahmoud Hosseini and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Automatica and Energy Conversion and Management.

In The Last Decade

Mohammad Farrokhi

107 papers receiving 1.9k citations

Hit Papers

State-of-Charge Estimation for Lithium-Ion Batteries Usin... 2010 2026 2015 2020 2010 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohammad Farrokhi Iran 20 997 859 799 211 181 113 1.9k
Jimmy Lauber France 19 862 0.9× 622 0.7× 410 0.5× 110 0.5× 211 1.2× 89 1.5k
Luigi del Re Austria 29 1.9k 1.9× 1.4k 1.6× 400 0.5× 587 2.8× 127 0.7× 284 3.6k
Nasser L. Azad Canada 22 742 0.7× 1.4k 1.7× 740 0.9× 253 1.2× 186 1.0× 138 1.9k
Timothy Gordon United Kingdom 23 518 0.5× 970 1.1× 281 0.4× 372 1.8× 111 0.6× 111 1.6k
Davide M. Raimondo Italy 28 2.2k 2.2× 796 0.9× 836 1.0× 109 0.5× 189 1.0× 88 3.1k
Carlos González Spain 19 1.0k 1.0× 1.2k 1.4× 323 0.4× 165 0.8× 189 1.0× 46 1.8k
Belkacem Ould Bouamama France 24 1.1k 1.2× 391 0.5× 560 0.7× 292 1.4× 121 0.7× 102 1.8k
Amit Patra India 26 1.0k 1.0× 777 0.9× 2.1k 2.6× 136 0.6× 108 0.6× 202 2.8k
M. L. Dennis Wong Malaysia 23 670 0.7× 438 0.5× 721 0.9× 222 1.1× 554 3.1× 83 2.0k
Simone Formentin Italy 24 1.5k 1.6× 540 0.6× 227 0.3× 388 1.8× 131 0.7× 216 2.2k

Countries citing papers authored by Mohammad Farrokhi

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Farrokhi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Farrokhi

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Farrokhi. A scholar is included among the top collaborators of Mohammad Farrokhi 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 Farrokhi. Mohammad Farrokhi 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.
Farrokhi, Mohammad, et al.. (2024). Enhanced adaptive nonlinear extended state observer for pure feedback systems with matched and mismatched disturbances. Control Theory and Technology. 22(2). 254–268. 1 indexed citations
2.
Farrokhi, Mohammad, et al.. (2023). Adaptive fuzzy extended state observer for a class of nonlinear systems with output constraint. Nonlinear Engineering. 12(1). 1 indexed citations
3.
Farrokhi, Mohammad, et al.. (2022). Dynamic Walking and Stepping over Large Obstacles of Biped Robots: A Poincaré Map Approach. Journal of Engineering Science and Technology Review. 15(6). 186–200. 1 indexed citations
4.
Rahmani, Amir M. & Mohammad Farrokhi. (2019). Fractional-order Hammerstein state-space modeling of nonlinear dynamic systems from input–output measurements. ISA Transactions. 96. 177–184. 20 indexed citations
5.
Farrokhi, Mohammad, et al.. (2018). On Stabilization Conditions for T–S Systems with Nonlinear Consequent Parts. International Journal of Fuzzy Systems. 21(1). 84–94. 9 indexed citations
6.
Rahmani, Amir M. & Mohammad Farrokhi. (2017). Identification of neuro-fractional Hammerstein systems: a hybrid frequency-/time-domain approach. Soft Computing. 22(24). 8097–8106. 20 indexed citations
7.
Rahmani, Amir M. & Mohammad Farrokhi. (2017). Nonlinear dynamic system identification using neuro-fractional-order Hammerstein model. Transactions of the Institute of Measurement and Control. 40(13). 3872–3883. 13 indexed citations
8.
Farrokhi, Mohammad, et al.. (2016). Online identification of non-linear dynamic systems by Wiener model using subspace method and neural networks. Transactions of the Institute of Measurement and Control. 40(2). 666–674. 8 indexed citations
9.
Farrokhi, Mohammad, et al.. (2014). On observer-based controller design for Sugeno systems with unmeasurable premise variables. ISA Transactions. 53(2). 305–316. 51 indexed citations
10.
Farrokhi, Mohammad, et al.. (2014). Real-time inverse kinematics of redundant manipulators using neural networks and quadratic programming: A Lyapunov-based approach. Robotics and Autonomous Systems. 62(6). 766–781. 64 indexed citations
11.
Farrokhi, Mohammad, et al.. (2011). Stepping of biped robots over large obstacles using NMPC controller. 917–922. 6 indexed citations
12.
Farrokhi, Mohammad, et al.. (2011). Increasing accuracy in non-linear sliding-mode observers without decreasing sampling time using frequency domain analysis. IMA Journal of Mathematical Control and Information. 29(1). 1–22. 2 indexed citations
13.
Hosseini, Mahmoud, et al.. (2010). Nitric oxide contributes to learning and memory deficits observed in hypothyroid rats during neonatal and juvenile growth. Clinics. 65(11). 1175–1181. 59 indexed citations
14.
Farrokhi, Mohammad, et al.. (2010). State-of-Charge Estimation of VRLA Batteries Using Neural Networks and Extended Kalman Filter. IFAC Proceedings Volumes. 43(22). 52–56. 2 indexed citations
15.
Farrokhi, Mohammad, et al.. (2008). Robust adaptive control of uncertain non-linear systems using neural networks. International Journal of Control. 81(8). 1319–1330. 19 indexed citations
16.
Kazemy, Ali, et al.. (2007). On-Line Intelligent Control of Submarine Periscopes. 4. 245–250. 2 indexed citations
17.
Alfi, Alireza & Mohammad Farrokhi. (2006). Bilateral Transparent Teleoperation with Long Time-Varying Delay: New Control Design and Stability Analysis. 145. 4502–4507. 2 indexed citations
18.
Farrokhi, Mohammad & Masoud Mohebbi. (2005). Optimal Fuzzy Control of Parallel Hybrid Electric Vehicles. 제어로봇시스템학회 국제학술대회 논문집. 910–914. 6 indexed citations
19.
20.
Farrokhi, Mohammad, et al.. (2004). Fuzzy logic based indirect current control of the shunt active power filter. International Universities Power Engineering Conference. 1. 489–493. 5 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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