Muhammad Abbas Abbasi

630 total citations
26 papers, 395 citations indexed

About

Muhammad Abbas Abbasi is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Muhammad Abbas Abbasi has authored 26 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Electrical and Electronic Engineering, 16 papers in Control and Systems Engineering and 3 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Muhammad Abbas Abbasi's work include Multilevel Inverters and Converters (12 papers), Microgrid Control and Optimization (10 papers) and Sensorless Control of Electric Motors (7 papers). Muhammad Abbas Abbasi is often cited by papers focused on Multilevel Inverters and Converters (12 papers), Microgrid Control and Optimization (10 papers) and Sensorless Control of Electric Motors (7 papers). Muhammad Abbas Abbasi collaborates with scholars based in Pakistan, Malaysia and China. Muhammad Abbas Abbasi's co-authors include Abdul Rashid Husain, Sulman Shahzad, Muhammad Iqbal, Heybet Kılıç, Mohammad Hasan Shaheed, Z. Mohamed, Abdul Rauf Bhatti, Muhammad Amjad, S. M. Muyeen and Salman Habib and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Muhammad Abbas Abbasi

26 papers receiving 375 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Muhammad Abbas Abbasi Pakistan 9 231 218 70 68 51 26 395
Mukesh Pushkarna India 12 142 0.6× 238 1.1× 42 0.6× 72 1.1× 54 1.1× 41 390
Mohamed M. Ismail Egypt 10 198 0.9× 244 1.1× 21 0.3× 67 1.0× 50 1.0× 41 349
Nima Khosravi India 15 322 1.4× 473 2.2× 54 0.8× 69 1.0× 136 2.7× 44 614
Abdulwasa Bakr Barnawi Saudi Arabia 8 148 0.6× 253 1.2× 41 0.6× 38 0.6× 47 0.9× 21 373
Susana Estefany De León Aldaco Mexico 10 178 0.8× 388 1.8× 54 0.8× 153 2.3× 85 1.7× 40 558
Şevki Demirbaş Türkiye 11 207 0.9× 272 1.2× 50 0.7× 36 0.5× 20 0.4× 49 373
Ali Ahmadpour Iran 12 123 0.5× 283 1.3× 26 0.4× 77 1.1× 45 0.9× 17 349
Kamel Eddine Hemsas Algeria 9 174 0.8× 185 0.8× 48 0.7× 167 2.5× 62 1.2× 24 395
Rafik Neji Tunisia 11 219 0.9× 355 1.6× 97 1.4× 22 0.3× 94 1.8× 75 463
Aboubakr Salem Saudi Arabia 12 250 1.1× 527 2.4× 30 0.4× 62 0.9× 55 1.1× 36 606

Countries citing papers authored by Muhammad Abbas Abbasi

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Abbas Abbasi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Muhammad Abbas Abbasi. 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 Muhammad Abbas Abbasi. The network helps show where Muhammad Abbas Abbasi may publish in the future.

Co-authorship network of co-authors of Muhammad Abbas Abbasi

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Abbas Abbasi. A scholar is included among the top collaborators of Muhammad Abbas Abbasi 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 Muhammad Abbas Abbasi. Muhammad Abbas Abbasi 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.
Shahzad, Sulman, et al.. (2024). Unlocking the potential of long-duration energy storage: Pathways to net-zero emissions through global innovation and collaboration. Journal of Energy Storage. 97. 112904–112904. 20 indexed citations
2.
Abbasi, Muhammad Abbas, Abdul Rashid Husain, Hafiz Mudassir Munir, et al.. (2024). Model predictive control for energy efficient AC motor drives: An overview. IET Electric Power Applications. 18(12). 1894–1920. 3 indexed citations
3.
Jin, Weidong, et al.. (2024). Hysteresis based predictive torque control without weighting factors for induction motor drives. IET Control Theory and Applications. 18(18). 2675–2692. 1 indexed citations
4.
5.
Amjad, Muhammad, Muhammad Abbas Abbasi, Abdul Rauf Bhatti, et al.. (2024). An efficient energy management scheme using rule-based swarm intelligence approach to support pulsed load via solar-powered battery-ultracapacitor hybrid energy system. Scientific Reports. 14(1). 3962–3962. 3 indexed citations
6.
Shahzad, Sulman, et al.. (2023). Possibilities, Challenges, and Future Opportunities of Microgrids: A Review. Sustainability. 15(8). 6366–6366. 94 indexed citations
7.
8.
Mohamed, Z., et al.. (2023). Adaptive input shaper for payload swing control of a 5-DOF tower crane with parameter uncertainties and obstacle avoidance. Automation in Construction. 154. 104963–104963. 35 indexed citations
9.
Abbasi, Muhammad Abbas, et al.. (2022). Finite Control Set Model Predictive Field-Oriented Control For Three-Phase Induction Motor Drives. Journal of Engineering Research. 1 indexed citations
10.
Jin, Weidong, et al.. (2022). Torque Error Based Auto-tuning of Weighting Factor in Model Predictive Torque Control of Induction Motor Drive. Journal of Electrical Engineering and Technology. 18(3). 1959–1973. 8 indexed citations
11.
Husain, Abdul Rashid, et al.. (2022). A new method for controlling an induction motor using a hybrid discretization model predictive field orientated control. PLoS ONE. 17(6). e0267459–e0267459. 1 indexed citations
12.
Mohamed, Z., et al.. (2022). Input shaping with an adaptive scheme for swing control of an underactuated tower crane under payload hoisting and mass variations. Mechanical Systems and Signal Processing. 175. 109106–109106. 58 indexed citations
13.
14.
Abbasi, Muhammad Abbas, et al.. (2021). Computationally efficient predictive torque control for induction motor drives based on flux positional errors and extended Kalman filter. IET Electric Power Applications. 15(6). 653–667. 7 indexed citations
15.
Abbasi, Muhammad Abbas, et al.. (2020). Predictive Flux Control for Induction Motor Drives With Modified Disturbance Observer for Improved Transient Response. IEEE Access. 8. 112484–112495. 22 indexed citations
16.
Husain, Abdul Rashid, et al.. (2020). Continuous dynamic sliding mode control strategy of PWM based voltage source inverter under load variations. PLoS ONE. 15(2). e0228636–e0228636. 11 indexed citations
17.
Husain, Abdul Rashid, et al.. (2019). Numerical Discretization Estimation for Ordinary Differential Equation via Hybrid Discretization. SHILAP Revista de lepidopterología. 3(1). 55–63. 1 indexed citations
18.
Abbasi, Muhammad Abbas & Abdul Rashid Husain. (2018). Model predictive control of a dual induction motor drive fed by a single voltage source inverter. TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES. 26(3). 12 indexed citations
19.
Abbasi, Muhammad Abbas, et al.. (2015). Detection of noise in high pass IIR digital filters. 58. 1–5. 5 indexed citations
20.
Abbasi, Muhammad Abbas, et al.. (2012). Strategies for synchronization and optimization of distributed generation system in a smart grid. 20–24. 3 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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