Sunil Kumar Goyal

690 citations
37 papers · 424 · h-index 10

Impact in

Papers in

Sunil Kumar Goyal

33 papers receiving 393 citations

Peers

Sunil Kumar Goyal
Comparison fields: 5 of 52
  • Energy Engineering and Power Technology 28
  • Control and Systems Engineering 163
  • Renewable Energy, Sustainability and the Environment 102
  • Electrical and Electronic Engineering 321
  • Safety, Risk, Reliability and Quality 34
Replace R. Carbone with:
R. Carbone Italy
Ali Moghassemi United States
Adnan Tan Türkiye
Kevin Lynn United Kingdom
Sergio Basilio Sepúlveda Mora Colombia
Hocine Labar Algeria
Karim H. Youssef Egypt
Mahmood Shaik India
Chang Yuan China
Amar Omeiri Algeria
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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 24 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 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202196
2 202055
3 202046
4 202041
5 201921
6 202116
7 201916
8 202212
9 201612
10 202011
11 20209
12 20229
13 20248
14 20208
15 20207
16 20187
17 20206
18 20215
19 20244
20 20154

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 37 papers that have together received 424 indexed citations. Recurring topics across this work include Photovoltaic System Optimization Techniques (9 papers), Optimal Power Flow Distribution (9 papers), Electric Power System Optimization (7 papers), solar cell performance optimization (6 papers), Smart Grid Energy Management (6 papers), Power Systems Fault Detection (6 papers), Islanding Detection in Power Systems (6 papers) and Microgrid Control and Optimization (5 papers). The work is most often cited by research in Energy Engineering and Power Technology (28 citations), Control and Systems Engineering (163 citations), Renewable Energy, Sustainability and the Environment (102 citations), Electrical and Electronic Engineering (321 citations) and Safety, Risk, Reliability and Quality (34 citations). Sunil Kumar Goyal has collaborated with scholars based in India, Syria and Saudi Arabia. Frequent co-authors include Amit Saraswat, Prakash Kumar, Om Prakash Mahela, Sheesh Ram Ola, Shahbaz Ahmed Siddiqui, Hassan Haes Alhelou, Pierluigi Siano, Baseem Khan, Manish Srivastava and D. K. Palwalia. Their work appears in journals such as IEEE Access, Energies, Indian Journal of Science and Technology, Expert Systems with Applications and Renewable Energy.

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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