D.P. Swain
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- Power Systems Fault Detection 1
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- Power Quality and Harmonics 3
- Power System Optimization and Stability 3
- Power Line Communications and Noise 1
- Computational Mechanics top 10%
- Advanced Adaptive Filtering Techniques 5
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- Blind Source Separation Techniques 3
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- Neural Networks and Applications 2
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- Image and Signal Denoising Methods 1
- Co-authors
- P.K. DashA.C. LiewSaifur RahmanAurobinda RoutrayBraja Gopal MishraSanjib Kumar PandaPritam DashMohammednoor Altarawneh
- Cited by
- Control and Systems EngineeringElectrical and Electronic EngineeringElectronic, Optical and Magnetic Materials
- Journals
- IEEE Transactions on Power Systems (2 papers)International Journal of Electrical Power & Energy Systems (1 paper)Journal of Alloys and Compounds (1 paper)
- Partner nations
- IndiaSingaporeUnited States
In The Last Decade
D.P. Swain
7 papers receiving 369 citations
Peers
Comparison fields: 5 of 33
- Control and Systems Engineering 167
- Electrical and Electronic Engineering 367
- Electronic, Optical and Magnetic Materials 88
- Computational Mechanics 89
- Energy Engineering and Power Technology 9
Countries citing papers authored by D.P. Swain
This map shows the geographic impact of D.P. Swain'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 D.P. Swain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D.P. Swain more than expected).
Fields of papers citing papers by D.P. Swain
This network shows the impact of papers produced by D.P. Swain. 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 D.P. Swain. The network helps show where D.P. Swain may publish in the future.
Co-authorship network
The 10 scholars most cited alongside D.P. Swain, 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 | 2025 | 3 | |
| 2 | 2002 | 6 | |
| 3 | 2002 | 1 | |
| 4 | 1998 | 15 | |
| 5 | 1997 | 74 | |
| 6 | 1997 | 80 | |
| 7 | 1996 | 171 | |
| 8 | 1996 | 56 |
About D.P. Swain
D.P. Swain is a scholar working on Signal Processing, Computational Mechanics, Electrical and Electronic Engineering, Control and Systems Engineering and Artificial Intelligence, having authored 8 papers that have together received 406 indexed citations. Recurring topics across this work include Advanced Adaptive Filtering Techniques (5 papers), Blind Source Separation Techniques (3 papers), Power Quality and Harmonics (3 papers), Power System Optimization and Stability (3 papers), Neural Networks and Applications (2 papers), Power Systems Fault Detection (1 paper), Image and Signal Denoising Methods (1 paper) and Power Line Communications and Noise (1 paper). The work is most often cited by research in Control and Systems Engineering (167 citations), Electrical and Electronic Engineering (367 citations), Electronic, Optical and Magnetic Materials (88 citations), Computational Mechanics (89 citations) and Energy Engineering and Power Technology (9 citations). D.P. Swain has collaborated with scholars based in India, Singapore and United States. Frequent co-authors include P.K. Dash, A.C. Liew, Saifur Rahman, Aurobinda Routray, Braja Gopal Mishra, Sanjib Kumar Panda, Pritam Dash, Mohammednoor Altarawneh, Ranjit Bariki and H.P. Khincha. Their work appears in journals such as IEEE Transactions on Power Systems, International Journal of Electrical Power & Energy Systems, Journal of Alloys and Compounds, Electric Power Systems Research and IEE Proceedings - Generation Transmission and Distribution.
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.