M. Karrari

2.1k citations
112 papers · 1.6k · h-index 22

Impact in

Papers in

M. Karrari

104 papers receiving 1.6k citations

Peers

M. Karrari
Comparison fields: 5 of 58
  • Control and Systems Engineering 1.1k
  • Energy Engineering and Power Technology 70
  • Electrical and Electronic Engineering 1.2k
  • Statistical and Nonlinear Physics 110
  • Computer Networks and Communications 201
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Marcos Netto United States
Shaobu Wang United States
J. Machowski Poland
Seddik M. Djouadi United States
Aleksandar Dimitrovski United States
Alireza Khayatian Iran
N.G. Bretas Brazil
Vinícius F. Montagner Brazil
Rafael Wisniewski Denmark
B. Fardanesh United States
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Citations per field
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Citations per year

Countries citing papers authored by M. Karrari

Since Specialization
Citations

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

Fields of papers citing papers by M. Karrari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M. Karrari, 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 M. Karrari Line = papers co-authored together M. Karrari links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 112 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004110
2 201288
3 202075
4 200575
5 201570
6 201964
7 201263
8 202060
9 201556
10 200245
11 201844
12 200544
13 201841
14 201738
15 200837
16 202031
17 201531
18 200426
19 200926
20 200422

About M. Karrari

M. Karrari is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Statistical and Nonlinear Physics, Artificial Intelligence and Computer Networks and Communications, having authored 112 papers that have together received 1.6k indexed citations. Recurring topics across this work include Power System Optimization and Stability (45 papers), Control Systems and Identification (31 papers), Microgrid Control and Optimization (21 papers), Model Reduction and Neural Networks (20 papers), Power Systems Fault Detection (14 papers), Fault Detection and Control Systems (12 papers), Islanding Detection in Power Systems (11 papers) and Machine Fault Diagnosis Techniques (10 papers). The work is most often cited by research in Control and Systems Engineering (1.1k citations), Energy Engineering and Power Technology (70 citations), Electrical and Electronic Engineering (1.2k citations), Statistical and Nonlinear Physics (110 citations) and Computer Networks and Communications (201 citations). M. Karrari has collaborated with scholars based in Iran, Canada and United States. Frequent co-authors include Gevork B. Gharehpetian, O.P. Malik, Hesan Vahedi, Behrooz Zaker, Hamid Reza Baghaee, Mohammad Bagher Menhaj, William Rosehart, A.A. Ali, Mohammad Hosein Kazemi and Masoud Shafiee. Their work appears in journals such as IEEE Transactions on Energy Conversion, International Journal of Electrical Power & Energy Systems, IET Generation Transmission & Distribution, IEEE Systems Journal and IEEE Transactions on Industrial Informatics.

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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