Rachana Garg

73 papers receiving 573 citations

Peers

Rachana Garg
Comparison fields: 5 of 77
  • Electrical and Electronic Engineering 333
  • Control and Systems Engineering 261
  • Renewable Energy, Sustainability and the Environment 232
  • Artificial Intelligence 112
  • Energy Engineering and Power Technology 66
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Mokhtar Shouran United Kingdom
Peter Tzscheutschler Germany
Samira Fazlollahi Switzerland
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Kah Yung Yap Malaysia
Md Ismail Hossain Saudi Arabia
Tingting Guo China
Nur Mohammad Bangladesh
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Citations per field
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Citations per year

Countries citing papers authored by Rachana Garg

Since Specialization
Citations

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

Fields of papers citing papers by Rachana Garg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rachana Garg

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 1
5 0
6 4
7 7
8 8
9 6
10 36
11 20
12 9
13 87
14
Geospatial analysis and prediction of Solar Energy at Rural area using Helosat-4, Global Solar Atlas, NASA POWER, SMARTS, and measured data in Hadoop
1
15 1
16 6
17
Performance and cost Benefit analysis of solar Photovoltaic Power Plant for Delhi secretariat Building
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18 4
19
Comparison of different topologies of fuzzy logic controller to control D-STATCOM
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20 2

About Rachana Garg

Rachana Garg is a scholar working on Renewable Energy, Sustainability and the Environment, Energy Engineering and Power Technology and Control and Systems Engineering, having authored 82 papers that have together received 592 indexed citations. Recurring topics across this work include Photovoltaic System Optimization Techniques (38 papers), Microgrid Control and Optimization (29 papers) and Solar Radiation and Photovoltaics (17 papers). The work is most often cited by research in Energy Engineering and Power Technology (66 citations), Renewable Energy, Sustainability and the Environment (232 citations) and Control and Systems Engineering (261 citations). Rachana Garg has collaborated with scholars based in India, United States and Netherlands. Frequent co-authors include Pallavi Verma, Alka Singh, Abhishek Sharma, Avdhesh Kumar, Ravi Salgia, Sharad S. Singhal, Sanjay Awasthi, David Horne, Pankaj Garg and Raffaella Soldi. Their work appears in journals such as Renewable and Sustainable Energy Reviews, International Journal of Hydrogen Energy and Cancer Letters.

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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