J.A. Laghari

1.4k total citations
37 papers, 1.1k citations indexed

About

J.A. Laghari is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Plant Science. According to data from OpenAlex, J.A. Laghari has authored 37 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Electrical and Electronic Engineering, 26 papers in Control and Systems Engineering and 4 papers in Plant Science. Recurrent topics in J.A. Laghari's work include Islanding Detection in Power Systems (24 papers), Microgrid Control and Optimization (19 papers) and Optimal Power Flow Distribution (17 papers). J.A. Laghari is often cited by papers focused on Islanding Detection in Power Systems (24 papers), Microgrid Control and Optimization (19 papers) and Optimal Power Flow Distribution (17 papers). J.A. Laghari collaborates with scholars based in Malaysia, Pakistan and Taiwan. J.A. Laghari's co-authors include Hazlie Mokhlis, A.H.A. Bakar, Hasmaini Mohamad, Mazaher Karimi, Hamzah Arof, Safdar Raza, Aamir Ali, Li Wang, Saad Mekhilef and Kanendra Naidu and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Scientific Reports and IEEE Transactions on Power Systems.

In The Last Decade

J.A. Laghari

35 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J.A. Laghari Malaysia 16 1.0k 781 116 77 61 37 1.1k
Aziah Khamis Malaysia 13 683 0.7× 523 0.7× 105 0.9× 61 0.8× 16 0.3× 40 791
Hesan Vahedi Iran 14 588 0.6× 539 0.7× 89 0.8× 90 1.2× 28 0.5× 34 702
Farid K. Moghadam Norway 9 462 0.5× 451 0.6× 38 0.3× 17 0.2× 27 0.4× 15 654
Monalisa Biswal India 18 833 0.8× 755 1.0× 33 0.3× 24 0.3× 7 0.1× 83 929
Ali Asghar Ghadimi Iran 18 715 0.7× 517 0.7× 10 0.1× 110 1.4× 19 0.3× 63 831
N. W. A. Lidula Sri Lanka 13 1.2k 1.2× 1.1k 1.4× 92 0.8× 185 2.4× 5 0.1× 39 1.4k
Ch. Rami Reddy India 17 757 0.8× 585 0.7× 41 0.4× 74 1.0× 6 0.1× 104 893
Malabika Basu Ireland 24 2.1k 2.1× 1.5k 1.9× 45 0.4× 228 3.0× 7 0.1× 107 2.3k
D. N. Gaonkar India 16 856 0.9× 687 0.9× 28 0.2× 169 2.2× 8 0.1× 96 1.0k
Jingang Han China 15 736 0.7× 422 0.5× 9 0.1× 102 1.3× 15 0.2× 70 1.0k

Countries citing papers authored by J.A. Laghari

Since Specialization
Citations

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

Fields of papers citing papers by J.A. Laghari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.A. Laghari. 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 J.A. Laghari. The network helps show where J.A. Laghari may publish in the future.

Co-authorship network of co-authors of J.A. Laghari

This figure shows the co-authorship network connecting the top 25 collaborators of J.A. Laghari. A scholar is included among the top collaborators of J.A. Laghari 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 J.A. Laghari. J.A. Laghari 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.
Laghari, J.A., et al.. (2025). Non-technical loss detection in power distribution networks using machine learning. Scientific Reports. 15(1). 36189–36189.
2.
Laghari, J.A., et al.. (2024). Machine Learning-Based Multiclass Anomaly Detection and Classification in Hybrid Active Distribution Networks. IEEE Access. 12. 120131–120141. 5 indexed citations
3.
Laghari, J.A., et al.. (2024). Hybrid ANFIS‐PI‐Based Robust Control of Wind Turbine Power Generation System. International Transactions on Electrical Energy Systems. 2024(1). 10 indexed citations
4.
Laghari, J.A., et al.. (2024). Machine learning-based electricity theft detection using support vector machines. International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering. 14(2). 1240–1240. 2 indexed citations
5.
Laghari, J.A., et al.. (2023). Tunicate Swarm Algorithm based Optimized PID controller for automatic generation control of two area hybrid power system. Journal of Intelligent & Fuzzy Systems. 45(2). 2565–2578. 4 indexed citations
6.
Ali, Aamir, et al.. (2021). Optimal Site and Size of Distributed Generation Allocation in Radial Distribution Network Using Multi-objective Optimization. Journal of Modern Power Systems and Clean Energy. 9(2). 404–415. 93 indexed citations
7.
Aman, M.M., et al.. (2019). A hybrid scheme of load shedding using globalized frequency and localized voltage (GFLV) controller. International Journal of Electrical Power & Energy Systems. 113. 674–685. 6 indexed citations
8.
Laghari, J.A., et al.. (2019). A new islanding detection technique based on rate of change of reactive power and radial basis function neural network for distributed generation. Journal of Intelligent & Fuzzy Systems. 37(2). 2169–2179. 5 indexed citations
9.
10.
Mokhlis, Hazlie, et al.. (2017). Application of load shedding schemes for distribution network connected with distributed generation: A review. Renewable and Sustainable Energy Reviews. 82. 858–867. 56 indexed citations
11.
Mokhlis, Hazlie, et al.. (2017). Load shedding scheme based on frequency and voltage stability for an islanding operation of a distribution network connected to mini-hydro generation. TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES. 25. 1852–1863. 4 indexed citations
12.
Raza, Safdar, Hazlie Mokhlis, Hamzah Arof, Hasmaini Mohamad, & J.A. Laghari. (2016). Prioritization of different passive parameters for islanding detection on the basis of response analysis. 615–619. 11 indexed citations
13.
Raza, Safdar, Hazlie Mokhlis, Hamzah Arof, et al.. (2016). Minimum‐features‐based ANN‐PSO approach for islanding detection in distribution system. IET Renewable Power Generation. 10(9). 1255–1263. 33 indexed citations
14.
Laghari, J.A., Hazlie Mokhlis, Mazaher Karimi, A.H.A. Bakar, & Hasmaini Mohamad. (2015). A new technique for islanding operation of distribution network connected with mini hydro. Frontiers of Information Technology & Electronic Engineering. 16(5). 418–427. 5 indexed citations
15.
Raza, Safdar, Hazlie Mokhlis, Hamzah Arof, J.A. Laghari, & Li Wang. (2015). Application of signal processing techniques for islanding detection of distributed generation in distribution network: A review. Energy Conversion and Management. 96. 613–624. 134 indexed citations
16.
Laghari, J.A., et al.. (2014). Artificial neural network based islanding detection technique for mini hydro type distributed generation. 22 (6 .)–22 (6 .). 13 indexed citations
17.
Laghari, J.A., et al.. (2013). Comparison of fuzzy and PID based governor's response in utilization of DG spinning reserve. The University of Malaya Research Repository (University of Malaya). 1 indexed citations
18.
19.
Karimi, Mazaher, et al.. (2012). Combination of adaptive and intelligent load shedding techniques for distribution network. 3. 57–61. 3 indexed citations
20.

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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