Vikram Kumar Kamboj

1.9k citations
70 papers · 1.4k · h-index 19

Impact in

Papers in

Vikram Kumar Kamboj

66 papers receiving 1.4k citations

Peers

Vikram Kumar Kamboj
Comparison fields: 5 of 92
  • Energy Engineering and Power Technology 63
  • Computational Theory and Mathematics 307
  • Artificial Intelligence 557
  • Control and Systems Engineering 297
  • Electrical and Electronic Engineering 725
Replace Mojtaba Ghasemi with:
Mojtaba Ghasemi Iran
Uğur Güvenç Türkiye
Mohsen Zare Iran
Indrajit N. Trivedi India
R. Sowmya India
Eva Trojovská Czechia
J.S. Dhillon India
Mingzhu Tang China
Shuijia Li China
Serhat Duman Türkiye
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Citations per field
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Citations per year

Countries citing papers authored by Vikram Kumar Kamboj

Since Specialization
Citations

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

Fields of papers citing papers by Vikram Kumar Kamboj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019226
2 2015176
3 2015166
4 2016120
5 201556
6 201238
7 202137
8 201935
9 202131
10 202231
11 202230
12 201828
13 202126
14 202025
15 201524
16 202123
17 201522
18 202019
19 201218
20 202118

About Vikram Kumar Kamboj

Vikram Kumar Kamboj is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Computational Theory and Mathematics, Control and Systems Engineering and Energy Engineering and Power Technology, having authored 70 papers that have together received 1.4k indexed citations. Recurring topics across this work include Electric Power System Optimization (33 papers), Smart Grid Energy Management (25 papers), Optimal Power Flow Distribution (22 papers), Metaheuristic Optimization Algorithms Research (20 papers), Advanced Multi-Objective Optimization Algorithms (15 papers), Microgrid Control and Optimization (12 papers), Evolutionary Algorithms and Applications (11 papers) and Energy Load and Power Forecasting (11 papers). The work is most often cited by research in Energy Engineering and Power Technology (63 citations), Computational Theory and Mathematics (307 citations), Artificial Intelligence (557 citations), Control and Systems Engineering (297 citations) and Electrical and Electronic Engineering (725 citations). Vikram Kumar Kamboj has collaborated with scholars based in India, Canada and South Korea. Frequent co-authors include S. K. Bath, Ashutosh Bhadoria, J.S. Dhillon, Priyanka Anand, Krishan Arora, Amit Bhardwaj, Sanjay Marwaha, Deepak Prashar, Ashok Kumar and Suman Lata Tripathi. Their work appears in journals such as Neural Computing and Applications, Engineering With Computers, Applied Intelligence, Scientific Reports and Transactions on Emerging Telecommunications Technologies.

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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