M.A. Kashem

1.5k citations
25 papers · 1.2k · h-index 16

Impact in

Papers in

M.A. Kashem

25 papers receiving 1.1k citations

Peers

M.A. Kashem
Comparison fields: 5 of 36
  • Control and Systems Engineering 918
  • Electrical and Electronic Engineering 1.1k
  • Energy Engineering and Power Technology 53
  • Safety, Risk, Reliability and Quality 117
  • Automotive Engineering 29
Replace R. Caldon with:
R. Caldon Italy
Partha Kayal India
U. Sultana Malaysia
Ting Qiu United States
Pradit Fuangfoo Thailand
Feifan Shen China
Mallikarjuna R. Vallem United States
Tuba Gözel Türkiye
Masoud Dashtdar Iran
Hesamoddin Marzooghi Australia
M.A. Kashem relative to R. Caldon Italy R. Caldon's profile →
Citations per field
00.5×2.7×
R. Caldon · 1×
Citations per year

Countries citing papers authored by M.A. Kashem

Since Specialization
Citations

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

Fields of papers citing papers by M.A. Kashem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside M.A. Kashem, 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.A. Kashem Line = papers co-authored together M.A. Kashem links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002245
2 2006137
3 1999118
4 200483
5 200083
6 200079
7 200168
8 200766
9 199854
10 200639
11 200629
12 199826
13 200523
14 200219
15 200618
16 200615
17 200715
18 200211
19 20028
20 20028

About M.A. Kashem

M.A. Kashem is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Energy Engineering and Power Technology, Safety, Risk, Reliability and Quality and Artificial Intelligence, having authored 25 papers that have together received 1.2k indexed citations. Recurring topics across this work include Microgrid Control and Optimization (20 papers), Optimal Power Flow Distribution (20 papers), Islanding Detection in Power Systems (9 papers), Power System Optimization and Stability (8 papers), Smart Grid Energy Management (4 papers), Wind Turbine Control Systems (2 papers), Power Systems and Renewable Energy (2 papers) and Power Systems Fault Detection (2 papers). The work is most often cited by research in Control and Systems Engineering (918 citations), Electrical and Electronic Engineering (1.1k citations), Energy Engineering and Power Technology (53 citations), Safety, Risk, Reliability and Quality (117 citations) and Automotive Engineering (29 citations). M.A. Kashem has collaborated with scholars based in Australia and Malaysia. Frequent co-authors include G.B. Jasmon, Velappa Ganapathy, Gerard Ledwich, Michael Negnevitsky, Seyed M. Buhari, M. Moghavvemi, Abdallah Mohamed, Ahmed Mohamed and Shuai Yang. Their work appears in journals such as International Journal of Electrical Power & Energy Systems, IEEE Transactions on Energy Conversion, Electric Power Systems Research, IEEE Transactions on Power Delivery and International Journal of Global Energy Issues.

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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