Subhodip Saha
Impact in
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- Microgrid Control and Optimization
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- Optimal Power Flow Distribution
- Smart Grid Energy Management
- Electric Power System Optimization
- Power System Optimization and Stability
Papers in
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- Optimal Power Flow Distribution 10
- Smart Grid Energy Management 6
- Electric Power System Optimization 4
- VLSI and FPGA Design Techniques 1
- Islanding Detection in Power Systems 1
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- Microgrid Control and Optimization 5
- Co-authors
- V. Mukherjee (9 shared papers)Sumit Verma (3 shared papers)Soumitro Banerjee (1 shared paper)Chandan Kumar Chanda (1 shared paper)Yogesh Kumar (1 shared paper)Tilak Thakur (1 shared paper)
- Journals
- Applied Intelligence (1 paper)IET Generation Transmission & Distribution (1 paper)Neural Computing and Applications (1 paper)Soft Computing (1 paper)Journal of Experimental & Theoretical Artificial Intelligence (2 papers)
- Partner nations
- India
In The Last Decade
Subhodip Saha
11 papers receiving 350 citations
Peers
Comparison fields: 5 of 48
- Control and Systems Engineering 182
- Electrical and Electronic Engineering 270
- Artificial Intelligence 86
- Computational Theory and Mathematics 42
- Energy Engineering and Power Technology 8
Countries citing papers authored by Subhodip Saha
This map shows the geographic impact of Subhodip Saha'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 Subhodip Saha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Subhodip Saha more than expected).
Fields of papers citing papers by Subhodip Saha
This network shows the impact of papers produced by Subhodip Saha. 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 Subhodip Saha. The network helps show where Subhodip Saha may publish in the future.
Co-authors
The 6 scholars most cited alongside Subhodip Saha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 95 | |
| 2 | 2015 | 56 | |
| 3 | 2017 | 51 | |
| 4 | 2016 | 48 | |
| 5 | 2017 | 36 | |
| 6 | 2020 | 24 | |
| 7 | 2019 | 24 | |
| 8 | 2016 | 20 | |
| 9 | 2015 | 7 | |
| 10 | 2020 | 6 | |
| 11 | 2023 | 1 |
About Subhodip Saha
Subhodip Saha is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Artificial Intelligence, Building and Construction and Renewable Energy, Sustainability and the Environment, having authored 11 papers that have together received 368 indexed citations. Recurring topics across this work include Optimal Power Flow Distribution (10 papers), Smart Grid Energy Management (6 papers), Microgrid Control and Optimization (5 papers), Electric Power System Optimization (4 papers), Metaheuristic Optimization Algorithms Research (2 papers), Energy Efficiency and Management (1 paper), VLSI and FPGA Design Techniques (1 paper) and Islanding Detection in Power Systems (1 paper). The work is most often cited by research in Control and Systems Engineering (182 citations), Electrical and Electronic Engineering (270 citations), Artificial Intelligence (86 citations), Computational Theory and Mathematics (42 citations) and Energy Engineering and Power Technology (8 citations). Subhodip Saha has collaborated with scholars based in India. Frequent co-authors include V. Mukherjee, Sumit Verma, Soumitro Banerjee, Chandan Kumar Chanda, Yogesh Kumar and Tilak Thakur. Their work appears in journals such as Applied Intelligence, IET Generation Transmission & Distribution, Neural Computing and Applications, Soft Computing and Journal of Experimental & Theoretical Artificial Intelligence.
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.