J.A. Laghari

1.5k citations
37 papers · 1.1k · h-index 16

Impact in

Papers in

J.A. Laghari

35 papers receiving 1.1k citations

Peers

J.A. Laghari
Comparison fields: 5 of 53
  • Control and Systems Engineering 788
  • Energy Engineering and Power Technology 77
  • Electrical and Electronic Engineering 1.0k
  • Safety, Risk, Reliability and Quality 51
  • Plant Science 116
Replace Aziah Khamis with:
Aziah Khamis Malaysia
Hesan Vahedi Iran
N. W. A. Lidula Sri Lanka
D. N. Gaonkar India
Ch. Rami Reddy India
Ali Asghar Ghadimi Iran
Arangarajan Vinayagam Australia
Arif Hussain South Korea
Farid K. Moghadam Norway
Jingang Han China
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Citations per field
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Aziah Khamis · 1×
Citations per year

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-authors

The 25 scholars most cited alongside J.A. Laghari, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with J.A. Laghari Line = papers co-authored together J.A. Laghari links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015138
2 2013137
3 2013102
4 202199
5 201486
6 201485
7 201575
8 201368
9 201757
10 201835
11 201633
12 201827
13 201527
14 201221
15 202018
16 201418
17 201415
18 201413
19
A Fuzzy Based Under-Frequency Load Shedding Scheme for Islanded Distribution Network Connected with DG
201213
20 202411

About J.A. Laghari

J.A. Laghari is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Plant Science, Civil and Structural Engineering and Condensed Matter Physics, having authored 37 papers that have together received 1.1k indexed citations. Recurring topics across this work include Islanding Detection in Power Systems (24 papers), Microgrid Control and Optimization (19 papers), Optimal Power Flow Distribution (17 papers), Power System Optimization and Stability (14 papers), Power Systems Fault Detection (9 papers), Frequency Control in Power Systems (4 papers), Phytoplasmas and Hemiptera pathogens (4 papers) and Electricity Theft Detection Techniques (3 papers). The work is most often cited by research in Control and Systems Engineering (788 citations), Energy Engineering and Power Technology (77 citations), Electrical and Electronic Engineering (1.0k citations), Safety, Risk, Reliability and Quality (51 citations) and Plant Science (116 citations). J.A. Laghari has collaborated with scholars based in Malaysia, Pakistan and Iran. Frequent co-authors include Hazlie Mokhlis, A.H.A. Bakar, Hasmaini Mohamad, Mazaher Karimi, Safdar Raza, Hamzah Arof, Aamir Ali, Li Wang, Saad Mekhilef and Kanendra Naidu. Their work appears in journals such as Energy Conversion and Management, Renewable and Sustainable Energy Reviews, Journal of Intelligent & Fuzzy Systems, IET Renewable Power Generation and Scientific Reports.

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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