M.A. Kashem
- Electrical and Electronic Engineering top 5%
- Control and Systems Engineering top 1%
- Safety, Risk, Reliability and Quality top 5%
- Energy Engineering and Power Technology top 5%
- Automotive Engineering
- Co-authors
- G.B. JasmonGerard LedwichVelappa GanapathyMichael NegnevitskySeyed M. BuhariM. MoghavvemiAbdallah MohamedAhmed Mohamed
- Topics
- Optimal Power Flow Distribution (21 papers)Microgrid Control and Optimization (21 papers)Islanding Detection in Power Systems (10 papers)
- Cited by
- Control and Systems EngineeringElectrical and Electronic EngineeringEnergy Engineering and Power Technology
In The Last Decade
M.A. Kashem
27 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 37
- Electrical and Electronic Engineering 1.2k
- Control and Systems Engineering 1.0k
- Safety, Risk, Reliability and Quality 122
- Energy Engineering and Power Technology 55
- Automotive Engineering 29
Countries citing papers authored by M.A. Kashem
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
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-authorship network of co-authors of M.A. Kashem
This figure shows the co-authorship network connecting the top 25 collaborators of M.A. Kashem. A scholar is included among the top collaborators of M.A. Kashem 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 M.A. Kashem. M.A. Kashem is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 66 | |
| 2 | 15 | |
| 3 | Distributed generation control using protection principles | 3 |
| 4 | 15 | |
| 5 | 137 | |
| 6 | 29 | |
| 7 | 39 | |
| 8 | 98 | |
| 9 | 5 | |
| 10 | 83 | |
| 11 | 14 | |
| 12 | 11 | |
| 13 | 8 | |
| 14 | 7 | |
| 15 | 19 | |
| 16 | 244 | |
| 17 | 68 | |
| 18 | Artificial Neural Network Techniques for On-Line Distribution Network Reconfiguration Based Resistive Loss Reduction | 1 |
| 19 | 79 | |
| 20 | 53 |
About M.A. Kashem
M.A. Kashem is a scholar working on Control and Systems Engineering, Energy Engineering and Power Technology and Electrical and Electronic Engineering, having authored 27 papers that have together received 1.3k indexed citations. Recurring topics across this work include Optimal Power Flow Distribution (21 papers), Microgrid Control and Optimization (21 papers) and Islanding Detection in Power Systems (10 papers). The work is most often cited by research in Control and Systems Engineering (1.0k citations), Electrical and Electronic Engineering (1.2k citations) and Energy Engineering and Power Technology (55 citations). M.A. Kashem has collaborated with scholars based in Australia and Malaysia. Frequent co-authors include G.B. Jasmon, Gerard Ledwich, Velappa Ganapathy, Michael Negnevitsky, Seyed M. Buhari, M. Moghavvemi, Abdallah Mohamed, Ahmed Mohamed and Shuai Yang. Their work appears in journals such as IEEE Transactions on Power Delivery, IEEE Transactions on Energy Conversion and International Journal of Electrical Power & Energy Systems.
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.