H.C.S. Rughooputh

657 total citations
46 papers, 399 citations indexed

About

H.C.S. Rughooputh is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, H.C.S. Rughooputh has authored 46 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Electrical and Electronic Engineering, 18 papers in Control and Systems Engineering and 13 papers in Artificial Intelligence. Recurrent topics in H.C.S. Rughooputh's work include Optimal Power Flow Distribution (9 papers), Microgrid Control and Optimization (6 papers) and Advanced Control Systems Optimization (6 papers). H.C.S. Rughooputh is often cited by papers focused on Optimal Power Flow Distribution (9 papers), Microgrid Control and Optimization (6 papers) and Advanced Control Systems Optimization (6 papers). H.C.S. Rughooputh collaborates with scholars based in Mauritius, United Kingdom and India. H.C.S. Rughooputh's co-authors include Robert T. F. Ah King, Kalyanmoy Deb, Soonil D.D.V. Rughooputh, Krishna Busawon, Wilfrid Lefer, Jason M. Kinser and José A. Lozano and has published in prestigious journals such as Image and Vision Computing, Kybernetes and Astrophysics and Space Science.

In The Last Decade

H.C.S. Rughooputh

42 papers receiving 352 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
H.C.S. Rughooputh Mauritius	9	283	94	54	43	33	46	399
Aristidis Vlachos Greece	8	196 0.7×	71 0.8×	125 2.3×	45 1.0×	31 0.9×	28	399
R.H. Bhesdadiya India	10	169 0.6×	83 0.9×	81 1.5×	51 1.2×	15 0.5×	21	322
Seyyed Soheil Sadat Hosseini Iran	6	413 1.5×	111 1.2×	163 3.0×	48 1.1×	30 0.9×	9	615
Farid Ghareh Mohammadi United States	8	212 0.7×	76 0.8×	147 2.7×	37 0.9×	90 2.7×	30	438
Mohammad‐Amin Akbari Iran	8	308 1.1×	106 1.1×	93 1.7×	32 0.7×	34 1.0×	8	491
Zongyan Li China	7	473 1.7×	101 1.1×	119 2.2×	58 1.3×	19 0.6×	25	581
P. Dinakara Prasad Reddy India	5	391 1.4×	276 2.9×	61 1.1×	23 0.5×	14 0.4×	7	471
Muhammad Sohail Ibrahim South Korea	6	227 0.8×	96 1.0×	68 1.3×	8 0.2×	56 1.7×	20	354
Michael Birbas Greece	9	196 0.7×	87 0.9×	41 0.8×	9 0.2×	18 0.5×	66	330

Countries citing papers authored by H.C.S. Rughooputh

Since Specialization

Citations

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

Fields of papers citing papers by H.C.S. Rughooputh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H.C.S. Rughooputh. 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 H.C.S. Rughooputh. The network helps show where H.C.S. Rughooputh may publish in the future.

Co-authorship network of co-authors of H.C.S. Rughooputh

This figure shows the co-authorship network connecting the top 25 collaborators of H.C.S. Rughooputh. A scholar is included among the top collaborators of H.C.S. Rughooputh 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 H.C.S. Rughooputh. H.C.S. Rughooputh 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

Busawon, Krishna, et al.. (2021). Observer-based Control of Biomass Concentration under Discrete and Delayed Measurements. 2021 2nd International Conference for Emerging Technology (INCET). 1–5.

Busawon, Krishna, et al.. (2020). Observer-based Control for Biomass Regulation under Discrete Measurements. 42. 19–22. 4 indexed citations

Rughooputh, H.C.S., et al.. (2012). Optimization of OFDM systems resources using multi-objective Estimation Distribution Algorithms. 703–708.

Lozano, José A., et al.. (2012). A Survey on the Algorithms Used to Solve the Channel Assignment Problem. 1(1). 54–71. 3 indexed citations

King, Robert T. F. Ah, H.C.S. Rughooputh, & Kalyanmoy Deb. (2011). Solving the multiobjective environmental/economic dispatch problem with prohibited operating zones using NSGA-II. 298–303. 17 indexed citations

King, Robert T. F. Ah, et al.. (2010). Optimization of AVR Parameters of a Multi-machine Power System Using Particle Swarm Optimization. 16(1). 14–28. 4 indexed citations

King, Robert T. F. Ah, Kalyanmoy Deb, & H.C.S. Rughooputh. (2010). Comparison of NSGA-II and SPEA2 on the Multiobjective Environmental/Economic Dispatch Problem. 16(1). 485–511. 17 indexed citations

Rughooputh, H.C.S., et al.. (2010). Optimal network reconfiguration of electrical distribution systems using real coded quantum inspired evolutionary algorithm. 1. 38–43. 1 indexed citations

Rughooputh, H.C.S., et al.. (2008). Semi‐automatic Integrated Segmentation Approaches and Contour Extraction Appliedto Computed Tomography Scan Images′. International Journal of Biomedical Imaging. 2008(1). 759354–759354. 2 indexed citations

10.

Rughooputh, H.C.S. & Robert T. F. Ah King. (2004). Environmental/economic dispatch of thermal units using an elitist multiobjective evolutionary algorithm. 48–53. 60 indexed citations

11.

King, Robert T. F. Ah, et al.. (2004). A fuzzy logic controlled genetic algorithm for optimal electrical distribution network reconfiguration. 1. 577–582. 22 indexed citations

12.

King, Robert T. F. Ah & H.C.S. Rughooputh. (2004). Using artificial intelligence techniques for solving power systems problems at undergraduate level. 1. 42–47. 1 indexed citations

13.

Rughooputh, H.C.S., et al.. (2003). Neural network decoding of turbo codes. 5. 3336–3341. 4 indexed citations

14.

Rughooputh, Soonil D.D.V. & H.C.S. Rughooputh. (2003). Forensic application of a novel hybrid neural network. 5. 3143–3146. 1 indexed citations

15.

Rughooputh, H.C.S., et al.. (2003). Digital chaotic coding and modulation in CDMA. 2. 841–846. 7 indexed citations

16.

Rughooputh, H.C.S. & Soonil D.D.V. Rughooputh. (2003). Extended Kalman filter learning algorithm for hyper-complex multilayer neural networks. 3. 1824–1828. 3 indexed citations

17.

Rughooputh, Soonil D.D.V., et al.. (2002). Identification and classification of galaxies using a biologically-inspired neutral network. Astrophysics and Space Science. 282(1). 161–169. 2 indexed citations

18.

Rughooputh, H.C.S., Soonil D.D.V. Rughooputh, & Jason M. Kinser. (2000). <title>Automatic inspection of road surfaces</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3966. 349–356. 3 indexed citations

19.

Rughooputh, H.C.S., Soonil D.D.V. Rughooputh, & Jason M. Kinser. (2000). <title>Neural network based automated texture classification system</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3966. 340–348. 1 indexed citations

20.

Rughooputh, Soonil D.D.V., et al.. (2000). <title>Classification of optical galaxies using a PCNN</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3962. 138–147. 1 indexed citations

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