D.P. Swain

510 total citations
8 papers, 406 citations indexed

About

D.P. Swain is a scholar working on Electrical and Electronic Engineering, Computational Mechanics and Signal Processing. According to data from OpenAlex, D.P. Swain has authored 8 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Electrical and Electronic Engineering, 5 papers in Computational Mechanics and 3 papers in Signal Processing. Recurrent topics in D.P. Swain's work include Advanced Adaptive Filtering Techniques (5 papers), Blind Source Separation Techniques (3 papers) and Power Quality and Harmonics (3 papers). D.P. Swain is often cited by papers focused on Advanced Adaptive Filtering Techniques (5 papers), Blind Source Separation Techniques (3 papers) and Power Quality and Harmonics (3 papers). D.P. Swain collaborates with scholars based in India, Singapore and United States. D.P. Swain's 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 and has published in prestigious journals such as IEEE Transactions on Power Systems, Journal of Alloys and Compounds and International Journal of Electrical Power & Energy Systems.

In The Last Decade

D.P. Swain

7 papers receiving 369 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
D.P. Swain India	6	367	167	89	88	46	8	406
Wei-Shiou Chang United States	5	428 1.2×	290 1.7×	38 0.4×	85 1.0×	23 0.5×	7	485
G.G. Richards United States	12	375 1.0×	166 1.0×	19 0.2×	58 0.7×	46 1.0×	29	434
Yang Ren-gang China	11	455 1.2×	234 1.4×	13 0.1×	79 0.9×	32 0.7×	29	481
S. Zelingher United States	13	489 1.3×	278 1.7×	17 0.2×	20 0.2×	26 0.6×	24	533
M. Grady United States	4	399 1.1×	206 1.2×	10 0.1×	60 0.7×	12 0.3×	5	441
W.E. Reid United States	8	528 1.4×	230 1.4×	13 0.1×	140 1.6×	8 0.2×	16	578
R.J. Ferraro United States	5	404 1.1×	170 1.0×	10 0.1×	110 1.3×	7 0.2×	11	442
Leandro Rodrigues Manso Silva Brazil	10	227 0.6×	117 0.7×	17 0.2×	20 0.2×	16 0.3×	43	286
W.F. Horton United States	7	392 1.1×	188 1.1×	10 0.1×	102 1.2×	6 0.1×	21	451
O.T. Tan United States	11	478 1.3×	267 1.6×	7 0.1×	74 0.8×	45 1.0×	31	516

Countries citing papers authored by D.P. Swain

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of D.P. Swain

This figure shows the co-authorship network connecting the top 25 collaborators of D.P. Swain. A scholar is included among the top collaborators of D.P. Swain 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 D.P. Swain. D.P. Swain is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Bariki, Ranjit, D.P. Swain, Mohammednoor Altarawneh, & Braja Gopal Mishra. (2025). In-situ engineering of flower-like CdIn2S4/CaIn2S4 nanoarchitecture: A hybrid photocatalyst with improved charge dynamics and H2 production. Journal of Alloys and Compounds. 1030. 180803–180803. 3 indexed citations

2.

Dash, P.K., et al.. (2002). Power quality assessment using an adaptive neural network. 2. 770–775. 6 indexed citations

3.

Dash, P.K., D.P. Swain, H.P. Khincha, & A.C. Liew. (2002). Digital protective relaying using an adaptive neural network. 2. 684–689. 1 indexed citations

4.

Swain, D.P., et al.. (1998). Fast tracking of transient power system signals using fuzzy LMS algorithm. International Journal of Electrical Power & Energy Systems. 20(8). 555–561. 15 indexed citations

5.

Dash, Pritam, D.P. Swain, Aurobinda Routray, & A.C. Liew. (1997). An adaptive neural network approach for the estimation of power system frequency. Electric Power Systems Research. 41(3). 203–210. 74 indexed citations

6.

Dash, P.K., Sanjib Kumar Panda, Braja Gopal Mishra, & D.P. Swain. (1997). Fast estimation of voltage and current phasors in power networks using an adaptive neural network. IEEE Transactions on Power Systems. 12(4). 1494–1499. 80 indexed citations

7.

Dash, P.K., D.P. Swain, A.C. Liew, & Saifur Rahman. (1996). An adaptive linear combiner for on-line tracking of power system harmonics. IEEE Transactions on Power Systems. 11(4). 1730–1735. 171 indexed citations

8.

Dash, P.K., D.P. Swain, Aurobinda Routray, & A.C. Liew. (1996). Harmonic estimation in a power system using adaptive perceptrons. IEE Proceedings - Generation Transmission and Distribution. 143(6). 565–565. 56 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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