Sunil Kumar Goyal

751 citations
48 papers · 540 · h-index 11

Impact in

Papers in

Sunil Kumar Goyal

46 papers receiving 507 citations

Peers

Sunil Kumar Goyal
Comparison fields: 5 of 54
  • Energy Engineering and Power Technology 30
  • Control and Systems Engineering 196
  • Renewable Energy, Sustainability and the Environment 118
  • Electrical and Electronic Engineering 396
  • Safety, Risk, Reliability and Quality 39
Replace R. Carbone with:
R. Carbone Italy
Marayati Bte Marsadek Malaysia
Kevin Lynn United Kingdom
Adnan Tan Türkiye
Ali Moghassemi United States
MUGDESEM TANRIOVEN Türkiye
Karim Hassan Youssef Egypt
Mahmood Shaik India
Aboubakr Salem Saudi Arabia
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Citations per field
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Citations per year

Countries citing papers authored by Sunil Kumar Goyal

Since Specialization
Citations

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

Fields of papers citing papers by Sunil Kumar Goyal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sunil Kumar Goyal. 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 Sunil Kumar Goyal. The network helps show where Sunil Kumar Goyal may publish in the future.

Co-authors

The 25 scholars most cited alongside Sunil Kumar Goyal, 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 Sunil Kumar Goyal Line = papers co-authored together Sunil Kumar Goyal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021110
2 202060
3 202051
4 202047
5 201923
6 202122
7 201917
8 202215
9 201613
10 202012
11 202412
12 201911
13 202011
14 202010
15 20199
16 20229
17 20199
18 20248
19 20188
20 20208

About Sunil Kumar Goyal

Sunil Kumar Goyal is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Renewable Energy, Sustainability and the Environment, Automotive Engineering and Artificial Intelligence, having authored 48 papers that have together received 540 indexed citations. Recurring topics across this work include Photovoltaic System Optimization Techniques (11 papers), Optimal Power Flow Distribution (10 papers), Electric Power System Optimization (8 papers), Smart Grid Energy Management (8 papers), Microgrid Control and Optimization (8 papers), Islanding Detection in Power Systems (7 papers), Energy Load and Power Forecasting (7 papers) and Power Systems Fault Detection (7 papers). The work is most often cited by research in Energy Engineering and Power Technology (30 citations), Control and Systems Engineering (196 citations), Renewable Energy, Sustainability and the Environment (118 citations), Electrical and Electronic Engineering (396 citations) and Safety, Risk, Reliability and Quality (39 citations). Sunil Kumar Goyal has collaborated with scholars based in India, United States and Syria. Frequent co-authors include Amit Kumar Saraswat, Prakash Kumar, Om Prakash Mahela, Sheesh Ram Ola, Shahbaz Ahmed Siddiqui, Baseem Khan, Hassan Haes Alhelou, Manish Kumar Srivastava, Pierluigi Siano and Neeraj Kanwar. Their work appears in journals such as IEEE Access, Expert Systems with Applications, Results in Engineering, Applied Sciences and Journal of Energy Storage.

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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