Provas Kumar Roy

8.6k total citations · 1 hit paper
261 papers, 6.7k citations indexed

About

Provas Kumar Roy is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Provas Kumar Roy has authored 261 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 216 papers in Electrical and Electronic Engineering, 107 papers in Control and Systems Engineering and 19 papers in Artificial Intelligence. Recurrent topics in Provas Kumar Roy's work include Optimal Power Flow Distribution (130 papers), Electric Power System Optimization (113 papers) and Power System Optimization and Stability (95 papers). Provas Kumar Roy is often cited by papers focused on Optimal Power Flow Distribution (130 papers), Electric Power System Optimization (113 papers) and Power System Optimization and Stability (95 papers). Provas Kumar Roy collaborates with scholars based in India, United States and Jordan. Provas Kumar Roy's co-authors include Dipayan Guha, Subrata Banerjee, Sneha Sultana, Barun Mandal, Chandan Paul, S. P. Ghoshal, Moumita Pradhan, Siddhartha Sankar Thakur, Tandra Pal and Susanta Dutta and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied and Environmental Microbiology and Scientific Reports.

In The Last Decade

Provas Kumar Roy

239 papers receiving 6.4k citations

Hit Papers

Load frequency control of interconnected power system usi... 2015 2026 2018 2022 2015 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Provas Kumar Roy India 47 5.0k 2.9k 1.0k 382 328 261 6.7k
Chih‐Wen Liu Taiwan 44 4.9k 1.0× 3.5k 1.2× 264 0.3× 60 0.2× 110 0.3× 146 5.7k
Weihua Gui China 44 863 0.2× 3.9k 1.4× 1.3k 1.3× 385 1.0× 29 0.1× 293 6.5k
Di Wu United States 32 2.4k 0.5× 1.1k 0.4× 271 0.3× 118 0.3× 191 0.6× 124 3.6k
Zainal Salam Malaysia 50 7.8k 1.6× 2.0k 0.7× 4.5k 4.5× 67 0.2× 654 2.0× 234 11.2k
Dongsheng Yang China 32 1.2k 0.2× 1.3k 0.5× 429 0.4× 247 0.6× 157 0.5× 245 3.4k
Yong Chen China 31 1.3k 0.3× 2.1k 0.7× 388 0.4× 228 0.6× 57 0.2× 387 3.6k
Di Shi United States 37 3.3k 0.7× 2.2k 0.8× 284 0.3× 42 0.1× 181 0.6× 182 4.4k
Attia A. El‐Fergany Egypt 43 4.2k 0.8× 2.3k 0.8× 1.2k 1.2× 242 0.6× 401 1.2× 128 5.5k
Ming Cheng China 68 16.5k 3.3× 11.8k 4.1× 216 0.2× 94 0.2× 358 1.1× 814 18.4k
Indranil Pan United Kingdom 30 1.3k 0.3× 2.2k 0.8× 406 0.4× 84 0.2× 127 0.4× 78 3.7k

Countries citing papers authored by Provas Kumar Roy

Since Specialization
Citations

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

Fields of papers citing papers by Provas Kumar Roy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Provas Kumar Roy. 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 Provas Kumar Roy. The network helps show where Provas Kumar Roy may publish in the future.

Co-authorship network of co-authors of Provas Kumar Roy

This figure shows the co-authorship network connecting the top 25 collaborators of Provas Kumar Roy. A scholar is included among the top collaborators of Provas Kumar Roy 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 Provas Kumar Roy. Provas Kumar Roy 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.
Roy, Provas Kumar, et al.. (2025). Self-adaptive multi-population quadratic approximation guided jaya optimization applied to economic load dispatch problems with or without valve-point effects. Results in Control and Optimization. 19. 100543–100543. 1 indexed citations
2.
Dutta, Susanta, et al.. (2025). LFC based OPF with renewable energy, BESS and FOPID controller using QODTBO algorithm. Journal of Energy Storage. 115. 115782–115782. 1 indexed citations
4.
Roy, Provas Kumar, et al.. (2024). Oppositional based artificial rabbits optimization applied for optimal allocation of nonlinear DG in distribution networks considering total harmonic distortion limit. Electric Power Systems Research. 231. 110334–110334. 15 indexed citations
5.
Paul, Chandan, Provas Kumar Roy, & V. Mukherjee. (2024). Chaotic‐quasi‐opposition based whale optimization technique applied to multi‐objective complementary scheduling of grid connected hydro‐thermal–wind–solar‐electric vehicle system. Optimal Control Applications and Methods. 45(4). 1603–1638. 2 indexed citations
8.
Shukla, Rishabh Dev, et al.. (2024). Oppositional Chemical Reaction Optimization Applied to Renewable-Hydro-Thermal Energy Systems. 331–336. 1 indexed citations
9.
Roy, Provas Kumar, et al.. (2023). Hybrid whale optimization algorithm‐scaled cascade fractional order hybrid controller applied to renewable based Electric Vehicle generating systems. International Journal of Numerical Modelling Electronic Networks Devices and Fields. 37(1). 1 indexed citations
10.
Mahata, Shibendu, et al.. (2023). Application of Empirical Bode Analysis for Delay-Margin Evaluation of Fractional-Order PI Controller in a Renewable Distributed Hybrid System. Fractal and Fractional. 7(2). 119–119. 8 indexed citations
11.
Roy, Provas Kumar, et al.. (2023). Adaptive IIR model identification using chaotic opposition-based whale optimization algorithm. SHILAP Revista de lepidopterología. 10(1). 11 indexed citations
12.
Roy, Provas Kumar, et al.. (2022). Performance enhancement of renewable based deregulated system using distributed power flow controller, Redox flow battery, and Tesla power wall battery. International Journal of Green Energy. 22(6). 930–946. 6 indexed citations
13.
Roy, Provas Kumar, et al.. (2021). Renewable Energy-Based Multi-source System Under Deregulated Environment Using COKHA Algorithm. IETE Journal of Research. 69(7). 4772–4790. 10 indexed citations
14.
Roy, Provas Kumar, et al.. (2021). FACTS-based 3DOF-PID Controller for LFC of Renewable Power System Under Deregulation Using GOA. IETE Journal of Research. 69(3). 1486–1499. 52 indexed citations
16.
Guha, Dipayan, Provas Kumar Roy, & Subrata Banerjee. (2020). Quasi-oppositional JAYA optimized 2-degree-of-freedom PID controller for load-frequency control of interconnected power systems. International Journal of Modelling and Simulation. 42(1). 63–85. 29 indexed citations
17.
Guha, Dipayan, Provas Kumar Roy, & Subrata Banerjee. (2019). Grasshopper optimization algorithm scaled fractional order PI-D controller applied to reduced order model of load frequency control system. International Journal of Modelling and Simulation. 40(3). 217–242. 70 indexed citations
18.
Dutta, Susanta, et al.. (2016). Unified power flow controller based reactive power dispatch using oppositional krill herd algorithm. International Journal of Electrical Power & Energy Systems. 80. 10–25. 38 indexed citations
19.
Dam, Bomba, Sukhendu Mandal, Wriddhiman Ghosh, S. K. GUPTA, & Provas Kumar Roy. (2007). The S4-intermediate pathway for the oxidation of thiosulfate by the chemolithoautotroph Tetrathiobacter kashmirensis and inhibition of tetrathionate oxidation by sulfite. Research in Microbiology. 158(4). 330–338. 48 indexed citations
20.
Roy, Provas Kumar, et al.. (1991). SP-100 reactor/HYTEC - A high efficiency static conversion power system. Intersociety Energy Conversion Engineering Conference. 1. 471–475. 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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