M. Abdullah Khan

475 total citations
25 papers, 335 citations indexed

About

M. Abdullah Khan is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Numerical Analysis. According to data from OpenAlex, M. Abdullah Khan has authored 25 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Electrical and Electronic Engineering, 13 papers in Control and Systems Engineering and 1 paper in Numerical Analysis. Recurrent topics in M. Abdullah Khan's work include Optimal Power Flow Distribution (18 papers), Power System Optimization and Stability (16 papers) and Electric Power System Optimization (11 papers). M. Abdullah Khan is often cited by papers focused on Optimal Power Flow Distribution (18 papers), Power System Optimization and Stability (16 papers) and Electric Power System Optimization (11 papers). M. Abdullah Khan collaborates with scholars based in India, Saudi Arabia and United States. M. Abdullah Khan's 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 and has published in prestigious journals such as IEEE Transactions on Power Systems, International Journal of Electrical Power & Energy Systems and International Journal of Control.

In The Last Decade

M. Abdullah Khan

24 papers receiving 301 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
M. Abdullah Khan India 9 327 135 49 11 9 25 335
V. Leonardo Paucar Brazil 9 262 0.8× 92 0.7× 44 0.9× 7 0.6× 6 0.7× 27 289
Wesley Peres Brazil 12 361 1.1× 251 1.9× 46 0.9× 12 1.1× 7 0.8× 34 378
Sandoval Carneiro Brazil 8 498 1.5× 345 2.6× 61 1.2× 8 0.7× 7 0.8× 23 514
R. Lugtu United States 8 432 1.3× 281 2.1× 64 1.3× 5 0.5× 13 1.4× 13 445
Lampros Papangelis Belgium 10 336 1.0× 248 1.8× 39 0.8× 6 0.5× 11 1.2× 16 346
Conghuan Yang United Kingdom 8 377 1.2× 215 1.6× 29 0.6× 3 0.3× 12 1.3× 24 397
A. M. Kinawy Egypt 7 359 1.1× 226 1.7× 36 0.7× 9 0.8× 8 0.9× 16 368
Harish Pulluri India 6 282 0.9× 67 0.5× 37 0.8× 28 2.5× 11 1.2× 21 312
C.-S. Chen Taiwan 8 356 1.1× 281 2.1× 33 0.7× 9 0.8× 5 0.6× 12 389
G. Yesuratnam India 9 366 1.1× 143 1.1× 46 0.9× 9 0.8× 13 1.4× 44 392

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
1.
Khan, M. Abdullah, et al.. (2020). Optimal reactive power allocation and settlement in deregulated power market. International Journal of Power and Energy Conversion. 11(2). 174–174. 1 indexed citations
2.
Sundaram, Arunachalam & M. Abdullah Khan. (2018). Market Clearing and Settlement Using Participant Based Distributed Slack Optimal Power Flow Model for a Double Sided Electricity Auction Market –Part I. Electric Power Components and Systems. 46(5). 521–532. 6 indexed citations
3.
Khan, M. Abdullah, et al.. (2018). A Market Center Based Clearing and Settlement of Pure Reactive Power Market in Deregulated Power System. Engineering Science and Technology an International Journal. 21(5). 909–921. 3 indexed citations
4.
5.
Khan, M. Abdullah, et al.. (2016). A New DC Power Flow Model for Q Flow Analysis for use in Reactive Power Market. Engineering Science and Technology an International Journal. 20(2). 721–729. 9 indexed citations
6.
Khan, M. Abdullah, et al.. (2012). Sequential Tuning of Power System Stabilizers for Improving the Small Signal Stability in Multi-machine Power Systems. 1 indexed citations
7.
8.
Kumar, N. Senthil & M. Abdullah Khan. (2008). Impact of FACTS Controllers on the Dynamic Stability of Power Systems Connected with Wind Farms. Wind Engineering. 32(2). 115–141. 5 indexed citations
9.
Venkatesh, Bala, G. Sudha Sadasivam, & M. Abdullah Khan. (2001). An efficient multi-objective fuzzy logic based successive LP method for optimal reactive power planning. Electric Power Systems Research. 59(2). 89–102. 9 indexed citations
10.
Lakshmi, P. & M. Abdullah Khan. (2000). Stability enhancement of a multimachine power system using fuzzy logic based power system stabilizer tuned through genetic algorithm. International Journal of Electrical Power & Energy Systems. 22(2). 137–145. 31 indexed citations
11.
Venkatesh, Bala, G. Sudha Sadasivam, & M. Abdullah Khan. (2000). A new optimal reactive power scheduling method for loss minimization and voltage stability margin maximization using successive multi-objective fuzzy LP technique. IEEE Transactions on Power Systems. 15(2). 844–851. 115 indexed citations
12.
Venkatesh, Bala, et al.. (1999). Towards on-line optimal reactive power scheduling using ANN memory model based method. IEEE Power Engineering Society. 1999 Winter Meeting (Cat. No.99CH36233). 52. 844–848 vol.2. 5 indexed citations
13.
Venkatesh, Bala, G. Sudha Sadasivam, & M. Abdullah Khan. (1999). Optimal reactive power planning against voltage collapse using the successive multiobiective fuzzy LP technique. IEE Proceedings - Generation Transmission and Distribution. 146(4). 343–343. 31 indexed citations
14.
Lakshmi, P. & M. Abdullah Khan. (1998). Design of a robust power system stabilizer using fuzzy logic for a multi-machine power system. Electric Power Systems Research. 47(1). 39–46. 10 indexed citations
15.
Khan, M. Abdullah, K. S. Kuppusamy, G. Sudha Sadasivam, & Bala Venkatesh. (1995). An Efficient Method for Reactive Power Planning and Scheduling in Indian Electricity Grids. 52(1). 7–12. 2 indexed citations
16.
Mohan, M.R., K. S. Kuppusamy, & M. Abdullah Khan. (1993). A FAST ALGORITHM FOR OPTIMAL HYDROTHERMAL SCHEDULING WITH CASCADED AND INDEPENDENT HYDRO PLANTS. Electric Machines & Power Systems. 21(5). 615–626. 1 indexed citations
17.
Mohan, M.R., K. S. Kuppusamy, & M. Abdullah Khan. (1992). A simple and effective local variation algorithm for long-range hydrothermal scheduling. Electric Power Systems Research. 24(1). 13–18. 1 indexed citations
18.
Mohan, M.R., K. S. Kuppusamy, & M. Abdullah Khan. (1992). Optimal short-term hydrothermal scheduling using decomposition approach and linear programming method. International Journal of Electrical Power & Energy Systems. 14(1). 39–44. 40 indexed citations
19.
Sadasivam, G. Sudha & M. Abdullah Khan. (1990). A fast method for optimal reactive power flow solution. International Journal of Electrical Power & Energy Systems. 12(1). 65–68. 8 indexed citations
20.
Khan, M. Abdullah & Nese Sreenivasulu. (1986). A systematic method for eigenstructure assignment and application to response shaping. International Journal of Control. 43(2). 717–735. 2 indexed citations

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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