Puja Dash

938 citations
24 papers · 741 · h-index 10

Impact in

Papers in

Puja Dash

22 papers receiving 703 citations

Peers

Puja Dash
Comparison fields: 5 of 43
  • Control and Systems Engineering 635
  • Energy Engineering and Power Technology 47
  • Electrical and Electronic Engineering 666
  • Condensed Matter Physics 88
  • Management Science and Operations Research 17
Replace Jyoti Ranjan Nayak with:
Jyoti Ranjan Nayak India
Jawad Talaq Bahrain
Muwaffaq I. Alomoush Jordan
More Raju India
Weihui Fu United States
S. Velusami India
Narendra Kumar Yegireddy India
K. Jagatheesan India
Mohamed Khamies Egypt
Puja Dash relative to Jyoti Ranjan Nayak India Jyoti Ranjan Nayak's profile →
Citations per field
00.5×6.6×
Jyoti Ranjan Nayak · 1×
Citations per year

Countries citing papers authored by Puja Dash

Since Specialization
Citations

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

Fields of papers citing papers by Puja Dash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Puja 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 Puja Dash Line = papers co-authored together Puja Dash links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015218
2 2016167
3 2013112
4 2014106
5 200734
6 202215
7 202212
8 201412
9 201512
10 20239
11 20237
12 20245
13 20145
14 20154
15 20104
16 20144
17
A PSO-based neuro-sliding mode controller for the stability enhancement of power systems with UPFC
20063
18 20143
19 20163
20 20222

About Puja Dash

Puja Dash is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Mechanical Engineering, Energy Engineering and Power Technology and Condensed Matter Physics, having authored 24 papers that have together received 741 indexed citations. Recurring topics across this work include Frequency Control in Power Systems (18 papers), Microgrid Control and Optimization (17 papers), Power System Optimization and Stability (11 papers), Hybrid Renewable Energy Systems (4 papers), Aluminum Alloys Composites Properties (2 papers), Advanced Control Systems Design (2 papers), Data Stream Mining Techniques (1 paper) and Fatigue and fracture mechanics (1 paper). The work is most often cited by research in Control and Systems Engineering (635 citations), Energy Engineering and Power Technology (47 citations), Electrical and Electronic Engineering (666 citations), Condensed Matter Physics (88 citations) and Management Science and Operations Research (17 citations). Puja Dash has collaborated with scholars based in India, Poland and Saudi Arabia. Frequent co-authors include Lalit Chandra Saikia, Nidul Sinha, Arindita Saha, Naladi Ram Babu, Ritanjali Majhi, G. Sahoo, Ganapati Panda, Tirumalasetty Chiranjeevi, Łukasz Knypiński and Sumit Kumar Das. Their work appears in journals such as International Journal of Electrical Power & Energy Systems, Energies, IET Renewable Power Generation, Ain Shams Engineering Journal and Sustainability.

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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