P.K. Dash

12.9k citations
366 papers · 10.1k · h-index 52

Impact in

    • Power Systems Fault Detection
    • Microgrid Control and Optimization
    • Power Quality and Harmonics
    • Islanding Detection in Power Systems
    • Energy Load and Power Forecasting
    • Power System Optimization and Stability
    • HVDC Systems and Fault Protection
    • Power Transformer Diagnostics and Insulation

Papers in

P.K. Dash

347 papers receiving 9.5k citations

Peers

P.K. Dash
Comparison fields: 5 of 141
  • Control and Systems Engineering 5.0k
  • Electrical and Electronic Engineering 7.8k
  • Energy Engineering and Power Technology 285
  • Management Science and Operations Research 852
  • Artificial Intelligence 1.5k
Replace M.E. El-Hawary with:
M.E. El-Hawary Canada
Yilu Liu United States
M.A. El-Sharkawi United States
O.P. Malik Canada
Ronald G. Harley United States
G.T. Heydt United States
Innocent Kamwa Canada
Chaoshun Li China
Math Bollen Sweden
Weihua Gui China
P.K. Dash relative to M.E. El-Hawary Canada M.E. El-Hawary's profile →
Citations per field
00.5×6.8×
M.E. El-Hawary · 1×
Citations per year

Countries citing papers authored by P.K. Dash

Since Specialization
Citations

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

Fields of papers citing papers by P.K. Dash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P.K. Dash. 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 P.K. Dash. The network helps show where P.K. Dash may publish in the future.

Co-authors

The 25 scholars most cited alongside P.K. Dash, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with P.K. Dash Line = papers co-authored together P.K. Dash links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 366 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003372
2 2017297
3 2007246
4 2004216
5 1999214
6 2003170
7 1996170
8 2017164
9 2013147
10 2000135
11 2016134
12 2018125
13 2000124
14 2019119
15 2000118
16 2018116
17 2016115
18 2003111
19 2021103
20 1978102

About P.K. Dash

P.K. Dash is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Artificial Intelligence, Management Science and Operations Research and Computational Mechanics, having authored 366 papers that have together received 10.1k indexed citations. Recurring topics across this work include Power Quality and Harmonics (84 papers), Power Systems Fault Detection (79 papers), Microgrid Control and Optimization (67 papers), Power System Optimization and Stability (65 papers), Islanding Detection in Power Systems (60 papers), Energy Load and Power Forecasting (55 papers), Neural Networks and Applications (47 papers) and HVDC Systems and Fault Protection (36 papers). The work is most often cited by research in Control and Systems Engineering (5.0k citations), Electrical and Electronic Engineering (7.8k citations), Energy Engineering and Power Technology (285 citations), Management Science and Operations Research (852 citations) and Artificial Intelligence (1.5k citations). P.K. Dash has collaborated with scholars based in India, Singapore and Malaysia. Frequent co-authors include Gayadhar Panda, Ranjeeta Bisoi, Snehamoy Dhar, Subhransu Ranjan Samantaray, Mrutyunjaya Sahani, Bijaya Ketan Panigrahi, Jyotirmayee Naik, Rajesh Kumar Patnaik, Ashok Kumar Pradhan and A.C. Liew. Their work appears in journals such as Applied Soft Computing, International Journal of Electrical Power & Energy Systems, IEEE Transactions on Power Delivery, IET Generation Transmission & Distribution and Engineering Applications of 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.

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