Debottam Mukherjee

423 total citations
28 papers, 299 citations indexed

About

Debottam Mukherjee is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Debottam Mukherjee has authored 28 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Control and Systems Engineering, 17 papers in Electrical and Electronic Engineering and 11 papers in Computer Networks and Communications. Recurrent topics in Debottam Mukherjee's work include Smart Grid Security and Resilience (13 papers), Network Security and Intrusion Detection (11 papers) and Energy Load and Power Forecasting (5 papers). Debottam Mukherjee is often cited by papers focused on Smart Grid Security and Resilience (13 papers), Network Security and Intrusion Detection (11 papers) and Energy Load and Power Forecasting (5 papers). Debottam Mukherjee collaborates with scholars based in India, Egypt and Netherlands. Debottam Mukherjee's co-authors include Sandip Ghosh, Adel El‐Shahat, Almoataz Y. Abdelaziz, Rakesh Misra, Rakesh Kumar Mishra, Ramashis Banerjee, Devender Singh, Soumya R. Mohanty, Jagdish Kumar and Champa Nandi and has published in prestigious journals such as IEEE Transactions on Industry Applications, IEEE Transactions on Smart Grid and Energies.

In The Last Decade

Debottam Mukherjee

25 papers receiving 293 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Debottam Mukherjee India 10 206 156 111 103 16 28 299
Yunchang Dong China 8 146 0.7× 149 1.0× 68 0.6× 59 0.6× 7 0.4× 19 272
Sagnik Basumallik United States 9 193 0.9× 147 0.9× 98 0.9× 99 1.0× 14 0.9× 28 304
Guangdou Zhang China 8 177 0.9× 162 1.0× 74 0.7× 35 0.3× 5 0.3× 25 256
Mostafa Mohammadpourfard Iran 13 317 1.5× 190 1.2× 179 1.6× 136 1.3× 5 0.3× 23 418
S M Shafiul Alam United States 9 154 0.7× 232 1.5× 58 0.5× 70 0.7× 7 0.4× 34 355
Sook-Chin Yip Malaysia 6 176 0.9× 297 1.9× 33 0.3× 79 0.8× 13 0.8× 16 341
Juan Ospina United States 8 161 0.8× 231 1.5× 35 0.3× 90 0.9× 5 0.3× 19 287
Longfei Wei United States 9 180 0.9× 158 1.0× 115 1.0× 60 0.6× 10 0.6× 20 303
Soham Chakraborty United States 11 211 1.0× 305 2.0× 94 0.8× 59 0.6× 3 0.2× 48 441
Mahdi Jamei United States 10 209 1.0× 266 1.7× 64 0.6× 39 0.4× 3 0.2× 15 348

Countries citing papers authored by Debottam Mukherjee

Since Specialization
Citations

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

Fields of papers citing papers by Debottam Mukherjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Debottam Mukherjee

This figure shows the co-authorship network connecting the top 25 collaborators of Debottam Mukherjee. A scholar is included among the top collaborators of Debottam 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 Debottam Mukherjee. Debottam 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.
Mukherjee, Debottam. (2024). Detection of Cyber Attacks in Modern Renewable Integrated Power Sector: A Matrix Separation Scheme. IEEE Transactions on Industry Applications. 61(2). 2678–2695. 2 indexed citations
2.
3.
Mukherjee, Debottam. (2023). Detection of data-driven blind cyber-attacks on smart grid: A deep learning approach. Sustainable Cities and Society. 92. 104475–104475. 22 indexed citations
4.
Mukherjee, Debottam, et al.. (2023). Optimum Design of a Renewable-Based Integrated Energy System in Autonomous Mode for a Remote Hilly Location in Northeastern India. Energies. 16(4). 1588–1588. 7 indexed citations
5.
Mukherjee, Debottam. (2022). A novel strategy for locational detection of false data injection attack. Sustainable Energy Grids and Networks. 31. 100702–100702. 21 indexed citations
6.
Mukherjee, Debottam, et al.. (2022). Deep Learning Assisted Prediction for Generation of Power from Solar PV. 382–386. 2 indexed citations
7.
Mukherjee, Debottam, et al.. (2022). A Novel Energy Management System for Renewable-based Hybrid Power Plant. 6. 1–6. 2 indexed citations
8.
Mukherjee, Debottam, Sandip Ghosh, & Rakesh Misra. (2022). A Novel False Data Injection Attack Formulation Based on CUR Low-Rank Decomposition Method. IEEE Transactions on Smart Grid. 13(6). 4965–4968. 8 indexed citations
9.
Mukherjee, Debottam, et al.. (2022). Deep learning-based identification of false data injection attacks on modern smart grids. Energy Reports. 8. 919–930. 18 indexed citations
10.
Mukherjee, Debottam, et al.. (2021). Application of deep learning for power system state forecasting. International Transactions on Electrical Energy Systems. 31(9). 18 indexed citations
11.
Mukherjee, Debottam, et al.. (2021). Deep Learning Based Real-Time Detection of False Data Injection Attacks in Power Grids. 124–130. 3 indexed citations
12.
13.
Mukherjee, Debottam, et al.. (2021). Real-time Identification of False Data Injection Attack in Smart Grid. 9 indexed citations
14.
Mukherjee, Debottam, et al.. (2021). Power System Fault Classification: An Imbalanced Learning Approach. 3. 1–6. 1 indexed citations
15.
Mukherjee, Debottam, et al.. (2021). A Novel Real-Time False Data Detection Strategy for Smart Grid. 1–6. 4 indexed citations
16.
Mukherjee, Debottam, et al.. (2021). Deep learning-based multilabel classification for locational detection of false data injection attack in smart grids. Electrical Engineering. 104(1). 259–282. 56 indexed citations
17.
Mukherjee, Debottam, et al.. (2020). Smart home energy management system under false data injection attack. International Transactions on Electrical Energy Systems. 30(7). 19 indexed citations
18.
Mukherjee, Debottam, et al.. (2020). Power System Fault Classification with Imbalanced Learning for Distribution Systems. 1–6. 4 indexed citations
19.
20.
Mukherjee, Debottam, et al.. (2020). Application of Machine Learning for Speed and Torque Prediction of PMS Motor in Electric Vehicles. 129–133. 13 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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