M. Abdullah Khan

24 papers receiving 301 citations

Peers

M. Abdullah Khan
Comparison fields: 5 of 25
  • Electrical and Electronic Engineering 327
  • Control and Systems Engineering 135
  • Safety, Risk, Reliability and Quality 49
  • Artificial Intelligence 11
  • Energy Engineering and Power Technology 9
Replace V. Leonardo Paucar with:
V. Leonardo Paucar Brazil
P. Ristanovic Germany
C.-S. Chen Taiwan
N.I. Deeb United States
A.M. Chebbo United Kingdom
E.E. El-Araby Japan
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M. Abdullah Khan relative to V. Leonardo Paucar Brazil V. Leonardo Paucar's profile →
Citations per field
00.5×1.6×
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Citations per year

Countries citing papers authored by M. Abdullah Khan

Since Specialization
Citations

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

Fields of papers citing papers by M. Abdullah Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Abdullah Khan

This figure shows the co-authorship network connecting the top 25 collaborators of M. Abdullah Khan. A scholar is included among the top collaborators of M. Abdullah Khan 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. Abdullah Khan. M. Abdullah Khan 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
#WorkIndexed citations
1 1
2 6
3 3
4 1
5 9
6
Sequential Tuning of Power System Stabilizers for Improving the Small Signal Stability in Multi-machine Power Systems
1
7 1
8 5
9 9
10 31
11 115
12 5
13 31
14 10
15
An Efficient Method for Reactive Power Planning and Scheduling in Indian Electricity Grids
2
16 1
17 1
18 40
19 8
20 2

About M. Abdullah Khan

M. Abdullah Khan is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Numerical Analysis, having authored 25 papers that have together received 335 indexed citations. Recurring topics across this work include Optimal Power Flow Distribution (18 papers), Power System Optimization and Stability (16 papers) and Electric Power System Optimization (11 papers). The work is most often cited by research in Control and Systems Engineering (135 citations), Electrical and Electronic Engineering (327 citations) and Safety, Risk, Reliability and Quality (49 citations). M. Abdullah Khan has collaborated with scholars based in India, Saudi Arabia and United States. Frequent co-authors include G. Sudha Sadasivam, Bala Venkatesh, P. Lakshmi, K. S. Kuppusamy, M.R. Mohan, A. Peer Fathima, Arunachalam Sundaram, N. Senthil Kumar and Nese Sreenivasulu. Their work appears in journals such as IEEE Transactions on Power Systems, International Journal of Electrical Power & Energy Systems and International Journal of Control.

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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