Subrata K. Sarker

3.1k total citations · 3 hit papers
91 papers, 2.2k citations indexed

About

Subrata K. Sarker is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Information Systems. According to data from OpenAlex, Subrata K. Sarker has authored 91 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Control and Systems Engineering, 55 papers in Electrical and Electronic Engineering and 7 papers in Information Systems. Recurrent topics in Subrata K. Sarker's work include Microgrid Control and Optimization (27 papers), Smart Grid Energy Management (22 papers) and Power Systems Fault Detection (17 papers). Subrata K. Sarker is often cited by papers focused on Microgrid Control and Optimization (27 papers), Smart Grid Energy Management (22 papers) and Power Systems Fault Detection (17 papers). Subrata K. Sarker collaborates with scholars based in Bangladesh, Australia and Qatar. Subrata K. Sarker's co-authors include Sajal K. Das, Shahriar Rahman Fahim, S. M. Muyeen, Faisal R. Badal, Kaustav Sen, Jayati Sarkar, Md. Rafiqul Islam Sheikh, Yeahia Sarker, Md. Firoj Ali and Md. Hafiz Ahamed and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, IEEE Access and Sustainability.

In The Last Decade

Subrata K. Sarker

86 papers receiving 2.0k citations

Hit Papers

A survey on control issue... 2019 2026 2021 2023 2019 2024 2024 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Subrata K. Sarker Bangladesh 22 1.2k 1.1k 213 193 180 91 2.2k
Mengshi Li China 22 1.0k 0.8× 616 0.6× 42 0.2× 81 0.4× 33 0.2× 127 1.6k
Peter Sandborn United States 25 594 0.5× 314 0.3× 112 0.5× 45 0.2× 224 1.2× 167 2.4k
Pitshou N. Bokoro South Africa 17 550 0.5× 286 0.3× 22 0.1× 87 0.5× 97 0.5× 156 1.6k
Jong-Wook Kim South Korea 18 370 0.3× 252 0.2× 150 0.7× 24 0.1× 98 0.5× 134 1.5k
S. Kannan India 23 1.8k 1.5× 454 0.4× 8 0.0× 106 0.5× 105 0.6× 157 2.6k
Dong Cao United States 33 3.0k 2.5× 1.1k 1.0× 8 0.0× 61 0.3× 48 0.3× 148 4.2k
Ningyi Dai Macao 25 2.0k 1.6× 935 0.8× 6 0.0× 130 0.7× 574 3.2× 125 2.6k
Chong Wang China 19 1.3k 1.0× 814 0.7× 9 0.0× 84 0.4× 48 0.3× 107 1.7k
Ricardo A. L. Rabêlo Brazil 25 1.0k 0.8× 387 0.4× 45 0.2× 20 0.1× 36 0.2× 153 1.9k
Gianluca Fulli Italy 28 2.3k 1.9× 1.1k 1.0× 5 0.0× 257 1.3× 31 0.2× 89 2.9k

Countries citing papers authored by Subrata K. Sarker

Since Specialization
Citations

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

Fields of papers citing papers by Subrata K. Sarker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Subrata K. Sarker. 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 Subrata K. Sarker. The network helps show where Subrata K. Sarker may publish in the future.

Co-authorship network of co-authors of Subrata K. Sarker

This figure shows the co-authorship network connecting the top 25 collaborators of Subrata K. Sarker. A scholar is included among the top collaborators of Subrata K. Sarker 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 Subrata K. Sarker. Subrata K. Sarker 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.
Sarker, Subrata K., et al.. (2025). A novel explainable deep generative model-aided transfer learning CNN for pelvis fracture detection. Biomedical Signal Processing and Control. 110. 107987–107987.
2.
Abhi, Sarafat Hussain, Sajal Kumar Das, Md. Firoj Ali, et al.. (2024). Potential smart grid vulnerabilities to cyber attacks: Current threats and existing mitigation strategies. Heliyon. 10(19). e37980–e37980. 19 indexed citations
3.
Sarker, Subrata K., et al.. (2024). Blockchain for sustainable city transformation: A review on Bangladesh. Engineering Reports. 6(9). 4 indexed citations
4.
Abhi, Sarafat Hussain, Sajal Kumar Das, Md. Firoj Ali, et al.. (2024). Next generation legged robot locomotion: A review on control techniques. Heliyon. 10(18). e37237–e37237. 1 indexed citations
5.
Tasneem, Zinat, Prangon Das, Sajal K. Das, et al.. (2024). Digital twin: Data exploration, architecture, implementation and future. Heliyon. 10(5). e26503–e26503. 52 indexed citations breakdown →
7.
Khan, Riaz Ullah, Sajal K. Das, Subrata K. Sarker, et al.. (2023). Power transformer health condition evaluation: A deep generative model aided intelligent framework. Electric Power Systems Research. 218. 109201–109201. 19 indexed citations
8.
Ali, Md. Firoj, Uzair Aslam Bhatti, Subrata K. Sarker, et al.. (2023). A Meta-Heuristic Sustainable Intelligent Internet of Things Framework for Bearing Fault Diagnosis of Electric Motor under Variable Load Conditions. Sustainability. 15(24). 16722–16722. 8 indexed citations
9.
Ahamed, Md. Hafiz, Sajal K. Das, Faisal R. Badal, et al.. (2023). A State‐of‐the‐Art Computer Vision Adopting Non‐Euclidean Deep‐Learning Models. International Journal of Intelligent Systems. 2023(1). 4 indexed citations
10.
Sarker, Subrata K., Shahriar Rahman Fahim, S. M. Muyeen, et al.. (2022). A two‐level hybrid control strategy to augment transient stability and tracking accuracy of hybrid microgrid coupled with industrial loads. IET Renewable Power Generation. 17(11). 2869–2886. 2 indexed citations
11.
12.
Fahim, Shahriar Rahman, Subrata K. Sarker, S. M. Muyeen, et al.. (2021). A Robust Self-Attentive Capsule Network for Fault Diagnosis of Series-Compensated Transmission Line. IEEE Transactions on Power Delivery. 36(6). 3846–3857. 35 indexed citations
13.
Hossain, Md. Zahid, et al.. (2021). Towards next generation virtual power plant: Technology review and frameworks. Renewable and Sustainable Energy Reviews. 150. 111358–111358. 138 indexed citations
15.
Fahim, Shahriar Rahman, et al.. (2021). A Deep Neural Network Based Robust Intelligent Strategy for Microgrid Fault Diagnosis. 2021 IEEE Industry Applications Society Annual Meeting (IAS). 14. 1–6. 4 indexed citations
16.
Sarker, Subrata K., et al.. (2020). Robust Extended H Control Strategy Using Linear Matrix Inequality Approach for Islanded Microgrid. IEEE Access. 8. 135883–135896. 29 indexed citations
17.
Fahim, Shahriar Rahman, Subrata K. Sarker, S. M. Muyeen, Md. Rafiqul Islam Sheikh, & Sajal K. Das. (2020). Microgrid Fault Detection and Classification: Machine Learning Based Approach, Comparison, and Reviews. Energies. 13(13). 3460–3460. 91 indexed citations
18.
Das, Sajal K., Faisal R. Badal, Md. Atikur Rahman, et al.. (2019). Improvement of Alternative Non-Raster Scanning Methods for High Speed Atomic Force Microscopy: A Review. IEEE Access. 7. 115603–115624. 25 indexed citations
19.
Fahim, Shahriar Rahman, et al.. (2019). An Intelligent Approach of Fault Classification and Localization of a Power Transmission Line. 53–56. 35 indexed citations
20.
Hossain, M. Shahadat, et al.. (2014). FreshWater Fish Diversity at Greater Noakhali, Bangladesh. 13(2). 8 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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