Sayak Mukherjee

615 total citations
43 papers, 398 citations indexed

About

Sayak Mukherjee is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Sayak Mukherjee has authored 43 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Electrical and Electronic Engineering, 18 papers in Control and Systems Engineering and 13 papers in Computational Theory and Mathematics. Recurrent topics in Sayak Mukherjee's work include Adaptive Dynamic Programming Control (13 papers), Microgrid Control and Optimization (11 papers) and Power System Optimization and Stability (9 papers). Sayak Mukherjee is often cited by papers focused on Adaptive Dynamic Programming Control (13 papers), Microgrid Control and Optimization (11 papers) and Power System Optimization and Stability (9 papers). Sayak Mukherjee collaborates with scholars based in United States, India and China. Sayak Mukherjee's co-authors include Aranya Chakrabortty, He Bai, Thanh Long Vu, Vandana Singh, Biman Jana, Argha Banerjee, Kaushik Kumar, Rahul Das, Matthew B. Panzer and Rishi Kumar Verma and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and IEEE Transactions on Power Systems.

In The Last Decade

Sayak Mukherjee

39 papers receiving 384 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sayak Mukherjee United States 10 192 138 78 61 38 43 398
M. Riva Italy 12 369 1.9× 167 1.2× 23 0.3× 19 0.3× 37 1.0× 59 493
Sha Fan China 11 99 0.5× 205 1.5× 23 0.3× 15 0.2× 10 0.3× 46 405
Gisela Pujol Spain 14 56 0.3× 313 2.3× 19 0.2× 22 0.4× 67 1.8× 49 493
Osami Saito Japan 11 152 0.8× 137 1.0× 48 0.6× 69 1.1× 101 2.7× 48 368
Ali Charara France 10 64 0.3× 137 1.0× 33 0.4× 30 0.5× 224 5.9× 17 493
Peijun Zhang China 13 44 0.2× 25 0.2× 40 0.5× 25 0.4× 91 2.4× 48 388
Ahmad Reza Haghighi Iran 12 27 0.1× 70 0.5× 21 0.3× 89 1.5× 27 0.7× 30 359
A.S. Farag Saudi Arabia 13 695 3.6× 189 1.4× 54 0.7× 24 0.4× 54 1.4× 63 883
Jianguo Zhao China 9 101 0.5× 228 1.7× 126 1.6× 57 0.9× 39 1.0× 24 322
Sanjay Marwaha India 12 394 2.1× 228 1.7× 16 0.2× 46 0.8× 32 0.8× 66 522

Countries citing papers authored by Sayak Mukherjee

Since Specialization
Citations

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

Fields of papers citing papers by Sayak Mukherjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sayak Mukherjee

This figure shows the co-authorship network connecting the top 25 collaborators of Sayak Mukherjee. A scholar is included among the top collaborators of Sayak Mukherjee 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 Sayak Mukherjee. Sayak Mukherjee 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.
2.
Mukherjee, Sayak, et al.. (2024). Structural Impact of Grid-Forming Inverters on Power System Coherency. 1–7. 1 indexed citations
3.
Saeedifard, Maryam, et al.. (2024). Cybersecurity Challenges in Low-Inertia Power-Electronics-Dominated Grids. IEEE Power Electronics Magazine. 11(4). 20–30. 2 indexed citations
4.
Mukherjee, Sayak, et al.. (2024). Coherency-Aware Learning Control of Inverter-Dominated Grids: A Distributed Risk-Constrained Approach. IEEE Control Systems Letters. 8. 2120–2125. 2 indexed citations
5.
Mukherjee, Sayak, et al.. (2023). Risk-Constrained Reinforcement Learning for Inverter-Dominated Power System Controls. IEEE Control Systems Letters. 7. 3854–3859. 7 indexed citations
6.
Vu, Thanh Long, Sayak Mukherjee, & Veronica Adetola. (2023). Resilient Communication Scheme for Distributed Decision of Interconnecting Networks of Microgrids. 1–5. 3 indexed citations
7.
Drgoňa, Ján, Sayak Mukherjee, Aaron Tuor, Mahantesh Halappanavar, & Draguna Vrabie. (2022). Learning Stochastic Parametric Diferentiable Predictive Control Policies. IFAC-PapersOnLine. 55(25). 121–126. 7 indexed citations
8.
Mukherjee, Sayak & Thanh Long Vu. (2022). Reinforcement Learning of Structured Stabilizing Control for Linear Systems With Unknown State Matrix. IEEE Transactions on Automatic Control. 68(3). 1746–1752. 10 indexed citations
9.
Mukherjee, Sayak & Thanh Long Vu. (2021). On Distributed Model-Free Reinforcement Learning Control with Stability Guarantee. 2175–2180.
10.
Zeng, Wei, et al.. (2021). Development and multi-level validation of a computational model to predict traumatic aortic injury. Computers in Biology and Medicine. 136. 104700–104700. 4 indexed citations
11.
Vu, Thanh Long, Sayak Mukherjee, Tianzhixi Yin, et al.. (2021). Safe Reinforcement Learning for Emergency Load Shedding of Power Systems. 2021 IEEE Power & Energy Society General Meeting (PESGM). 1–5. 17 indexed citations
12.
Giudice, J. Sebastian, et al.. (2020). Finite Element Model of a Deformable American Football Helmet Under Impact. Annals of Biomedical Engineering. 48(5). 1524–1539. 22 indexed citations
13.
Mukherjee, Sayak, He Bai, & Aranya Chakrabortty. (2020). On Robust Model-Free Reduced-Dimensional Reinforcement Learning Control for Singularly Perturbed Systems. 3914–3919. 2 indexed citations
14.
Mukherjee, Sayak, et al.. (2020). Tin Dioxide – CNT Based Gas Sensor Design. International Journal of Emerging Technology and Advanced Engineering. 10(7). 37–40. 2 indexed citations
15.
16.
Mukherjee, Sayak, Aranya Chakrabortty, & He Bai. (2019). Block-Decentralized Model-Free Reinforcement Learning Control of Two Time-Scale Networks. 2233–2238. 9 indexed citations
17.
Mukherjee, Sayak, et al.. (2018). A Measurement-Based Approach for Optimal Damping Control of the New York State Power Grid. 18. 1–5. 4 indexed citations
18.
Mukherjee, Sayak, et al.. (2014). Optimization of Material Removal Rate During Turning of SAE 1020 Material in CNC Lathe using Taguchi Technique. Procedia Engineering. 97. 29–35. 27 indexed citations
19.
Banerjee, Argha, Sayak Mukherjee, Rishi Kumar Verma, et al.. (2006). Fiber optic sensing of liquid refractive index. Sensors and Actuators B Chemical. 123(1). 594–605. 89 indexed citations
20.
Shivpuri, Rajiv, et al.. (2001). Investigation of Ecology Friendly Lubrication in High Speed Drawing Of SSID Tubes. CIRP Annals. 50(1). 169–172. 4 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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