P. Subbaraj

1.8k total citations
40 papers, 1.4k citations indexed

About

P. Subbaraj is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, P. Subbaraj has authored 40 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Electrical and Electronic Engineering, 14 papers in Control and Systems Engineering and 14 papers in Artificial Intelligence. Recurrent topics in P. Subbaraj's work include Optimal Power Flow Distribution (10 papers), Electric Power System Optimization (10 papers) and Metaheuristic Optimization Algorithms Research (8 papers). P. Subbaraj is often cited by papers focused on Optimal Power Flow Distribution (10 papers), Electric Power System Optimization (10 papers) and Metaheuristic Optimization Algorithms Research (8 papers). P. Subbaraj collaborates with scholars based in India and Malaysia. P. Subbaraj's co-authors include P.N. Rajnarayanan, S. Salivahanan, R. Rengaraj, M.V.C. Rao, S. Baskar, M. Pallikonda Rajasekaran, S. Kannan, Narayana Prasad Padhy, S. Mary Raja Slochanal and B. Kannapiran and has published in prestigious journals such as Applied Energy, Expert Systems with Applications and Applied Soft Computing.

In The Last Decade

P. Subbaraj

39 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
P. Subbaraj India	18	884	390	262	141	108	40	1.4k
Mohsen Zare Iran	22	1.1k 1.2×	590 1.5×	460 1.8×	119 0.8×	13 0.1×	53	1.8k
Baseem Khan Ethiopia	19	659 0.7×	312 0.8×	329 1.3×	44 0.3×	17 0.2×	66	1.3k
Oveis Abedinia Iran	14	798 0.9×	210 0.5×	321 1.2×	120 0.9×	7 0.1×	17	1.2k
Zhikai Xing China	18	236 0.3×	206 0.5×	328 1.3×	285 2.0×	16 0.1×	44	881
Indrajit N. Trivedi India	19	697 0.8×	365 0.9×	321 1.2×	43 0.3×	5 0.0×	43	1.2k
Xian-Bing Meng China	12	200 0.2×	159 0.4×	394 1.5×	120 0.9×	15 0.1×	22	814
Tareq M. Shami United Kingdom	10	307 0.3×	175 0.4×	281 1.1×	105 0.7×	10 0.1×	20	952
Zeinab Montazeri Iran	16	240 0.3×	159 0.4×	641 2.4×	107 0.8×	20 0.2×	18	1.1k
Yassine Meraihi Algeria	15	332 0.4×	149 0.4×	343 1.3×	271 1.9×	12 0.1×	48	1.1k
J.M. Bravo Spain	22	157 0.2×	1.1k 2.8×	296 1.1×	685 4.9×	23 0.2×	47	2.4k

Countries citing papers authored by P. Subbaraj

Since Specialization

Citations

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

Fields of papers citing papers by P. Subbaraj

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Subbaraj

This figure shows the co-authorship network connecting the top 25 collaborators of P. Subbaraj. A scholar is included among the top collaborators of P. Subbaraj 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 P. Subbaraj. P. Subbaraj is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Govindaraj, Vishnuvarthanan, et al.. (2015). An unsupervised learning method with a clustering approach for tumor identification and tissue segmentation in magnetic resonance brain images. Applied Soft Computing. 38. 190–212. 123 indexed citations

Subbaraj, P., et al.. (2013). Development of genetic algorithm-based fuzzy logic controller for conical tank process. International Journal of Industrial and Systems Engineering. 13(4). 442–442. 1 indexed citations

Subbaraj, P., et al.. (2011). A novel multi-objective evolutionary algorithm for shortest path routing problem. International Journal of Communication Networks and Distributed Systems. 7(3/4). 355–355. 1 indexed citations

Subbaraj, P., et al.. (2011). A nondominated sorting genetic algorithm solution for shortest path routing problem in computer networks. Expert Systems with Applications. 39(1). 1518–1525. 33 indexed citations

Subbaraj, P. & B. Kannapiran. (2010). Fuzzy Based Approach for Fault Detection and Diagnosis in Pneumatic Actuator in Cement Industry. 2(8). 70–78. 1 indexed citations

Subbaraj, P. & B. Kannapiran. (2010). Artificial Neural Network Approach for Fault Detection in Pneumatic Valve in Cooler Water Spray System. International Journal of Computer Applications. 9(7). 43–52. 34 indexed citations

Subbaraj, P., et al.. (2010). Parallel particle swarm optimization with modified stochastic acceleration factors for solving large scale economic dispatch problem. International Journal of Electrical Power & Energy Systems. 32(9). 1014–1023. 50 indexed citations

Subbaraj, P., et al.. (2010). A Nondominated Sorting Genetic Algorithm For Shortest Path Routing Problem. Zenodo (CERN European Organization for Nuclear Research). 4(8). 1227–1235. 8 indexed citations

Devaraj, D., et al.. (2010). Improved fuzzy logic controller for SVC in power system damping using global signals. Electrical Engineering. 91(7). 395–404. 20 indexed citations

10.

Subbaraj, P., R. Rengaraj, & S. Salivahanan. (2009). Real-coded genetic algorithm enhanced with self adaptation for solving economic dispatch problem with prohibited operating zone. 1–6. 3 indexed citations

11.

Subbaraj, P., et al.. (2009). Parallel Genetic Algorithm for VLSI Standard Cell Placement. 80–84. 11 indexed citations

12.

Rajasekaran, M. Pallikonda, S. Radhakrishnan, & P. Subbaraj. (2009). Elderly Patient Monitoring System Using a Wireless Sensor Network. Telemedicine Journal and e-Health. 15(1). 73–79. 28 indexed citations

13.

Rajasekaran, M. Pallikonda, S. Radhakrishnan, & P. Subbaraj. (2009). Sensor grid applications in patient monitoring. Future Generation Computer Systems. 26(4). 569–575. 24 indexed citations

14.

Subbaraj, P., R. Rengaraj, & S. Salivahanan. (2008). Enhancement of combined heat and power economic dispatch using self adaptive real-coded genetic algorithm. Applied Energy. 86(6). 915–921. 173 indexed citations

15.

Subbaraj, P. & P.N. Rajnarayanan. (2008). Optimal reactive power dispatch using self-adaptive real coded genetic algorithm. Electric Power Systems Research. 79(2). 374–381. 205 indexed citations

16.

Rajasekaran, M. Pallikonda, S. Radhakrishnan, & P. Subbaraj. (2008). Remote monitoring of post-operative patients using wireless sensor networks. International Journal of Healthcare Technology and Management. 9(3). 247–247. 3 indexed citations

17.

Subbaraj, P. & Krishnan Manickavasagam. (2007). Automatic generation control of multi‐area power system using fuzzy logic controller. European Transactions on Electrical Power. 18(3). 266–280. 25 indexed citations

18.

Subbaraj, P., et al.. (2007). An effective memetic algorithm for VLSI partitioning problem. 667–670. 5 indexed citations

19.

Baskar, S., P. Subbaraj, & M.V.C. Rao. (2001). PERFORMANCE OF HYBRID REAL CODED GENETIC ALGORITHMS. 2(4). 583–601. 17 indexed citations

20.

Rao, M.V.C. & P. Subbaraj. (1988). NEW AND EFFICIENT UNIDIMENSIONAL SEARCH SCHEMES FOR OPTIMIZATION. Engineering Optimization. 13(4). 293–305. 7 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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