Subir Datta

697 total citations
70 papers, 410 citations indexed

About

Subir Datta is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Energy Engineering and Power Technology. According to data from OpenAlex, Subir Datta has authored 70 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Electrical and Electronic Engineering, 46 papers in Control and Systems Engineering and 9 papers in Energy Engineering and Power Technology. Recurrent topics in Subir Datta's work include Microgrid Control and Optimization (39 papers), Frequency Control in Power Systems (21 papers) and Smart Grid Energy Management (14 papers). Subir Datta is often cited by papers focused on Microgrid Control and Optimization (39 papers), Frequency Control in Power Systems (21 papers) and Smart Grid Energy Management (14 papers). Subir Datta collaborates with scholars based in India, United Kingdom and Norway. Subir Datta's co-authors include Taha Selim Ustun, Lalit Chandra Saikia, Shuma Adhikari, Bidesh Roy, Subhasish Deb, Jyoti Prakash Mishra, Nidul Sinha, Ashis Kumar Roy, Ümit Cali and Faisal Alsaif and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Subir Datta

64 papers receiving 388 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Subir Datta India 10 298 206 41 33 31 70 410
Chuantong Hao China 8 384 1.3× 250 1.2× 50 1.2× 23 0.7× 26 0.8× 22 488
M. R. Aghaebrahimi Iran 11 271 0.9× 163 0.8× 14 0.3× 31 0.9× 16 0.5× 44 338
Hisao Taoka Japan 11 504 1.7× 370 1.8× 65 1.6× 18 0.5× 38 1.2× 74 567
Isao Iyoda Japan 13 513 1.7× 240 1.2× 19 0.5× 17 0.5× 18 0.6× 41 539
Paolo Pelacchi Italy 11 465 1.6× 375 1.8× 49 1.2× 9 0.3× 24 0.8× 34 575
Nur Fadilah Ab Aziz Malaysia 13 352 1.2× 210 1.0× 52 1.3× 56 1.7× 68 2.2× 67 524
P. S. Chandramohanan Nair India 11 424 1.4× 288 1.4× 21 0.5× 26 0.8× 30 1.0× 32 510
Vineet Kumar India 12 189 0.6× 110 0.5× 31 0.8× 55 1.7× 9 0.3× 43 330
Dávid Raisz Hungary 16 721 2.4× 408 2.0× 47 1.1× 49 1.5× 56 1.8× 77 792

Countries citing papers authored by Subir Datta

Since Specialization
Citations

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

Fields of papers citing papers by Subir Datta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Subir Datta

This figure shows the co-authorship network connecting the top 25 collaborators of Subir Datta. A scholar is included among the top collaborators of Subir Datta 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 Subir Datta. Subir Datta 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.
Datta, Subir, et al.. (2025). A renewable integrated multi-area system for LFC incorporating electrical vehicle with SoC estimation. Frontiers in Energy Research. 12. 2 indexed citations
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Datta, Subir, et al.. (2025). A comprehensive review on intelligent torque vectoring control for electric vehicle. Energy Exploration & Exploitation. 43(5). 2159–2198.
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Deb, Subhasish, et al.. (2025). Deep learning based solar forecasting for optimal PV BESS sizing in ultra fast charging stations. Scientific Reports. 15(1). 32392–32392.
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Deb, Subhasish, et al.. (2024). Review on smart grid load forecasting for smart energy management using machine learning and deep learning techniques. Energy Reports. 12. 3654–3670. 22 indexed citations
6.
Adhikari, Shuma, et al.. (2024). Harnessing Deep Learning for Enhanced MPPT in Solar PV Systems: An LSTM Approach Using Real-World Data. SHILAP Revista de lepidopterología. 5(4). 843–860. 10 indexed citations
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Datta, Subir, et al.. (2024). Quality Assessment of Rice Using Convolution Neural Networks and Other Machine Learning Techniques- A Comparative Study. Current Agriculture Research Journal. 12(2). 762–772. 1 indexed citations
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Deb, Subhasish, et al.. (2024). Multi-objective-based economic and emission dispatch with integration of wind energy sources using different optimization algorithms. Frontiers in Energy Research. 12. 2 indexed citations
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Roga, Sukanta, et al.. (2022). Development of Pitch Angle Control Algorithm for PMSG Based Wind Energy Conversion System. 1–5. 6 indexed citations
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Roy, Bidesh, et al.. (2022). Forecasting ethanol demand in India to meet future blending targets: A comparison of ARIMA and various regression models. Energy Reports. 9. 411–418. 49 indexed citations
16.
Datta, Subir, et al.. (2022). SCADA based intake monitoring for improving energy management plan: Case study. Energy Reports. 9. 402–410. 9 indexed citations
17.
Datta, Subir, et al.. (2021). Load frequency control of a photovoltaic-pumped hydro power energy storagebased micro-grid System. 42. 312–317. 3 indexed citations
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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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