J.S. Dhillon

2.9k citations
115 papers · 2.3k · h-index 24

Impact in

Papers in

J.S. Dhillon

113 papers receiving 2.2k citations

Peers

J.S. Dhillon
Comparison fields: 5 of 88
  • Energy Engineering and Power Technology 107
  • Electrical and Electronic Engineering 1.9k
  • Control and Systems Engineering 377
  • Artificial Intelligence 491
  • Computational Theory and Mathematics 242
Replace M. R. AlRashidi with:
M. R. AlRashidi Kuwait
Serhat Duman Türkiye
Uğur Güvenç Türkiye
Vikram Kumar Kamboj India
Mohamed H. Hassan Egypt
Thang Trung Nguyen Vietnam
Sahand Ghavidel Iran
Indrajit N. Trivedi India
Dieu Ngoc Vo Vietnam
Ahmed R. Ginidi Egypt
J.S. Dhillon relative to M. R. AlRashidi Kuwait M. R. AlRashidi's profile →
Citations per field
00.5×1.5×1.9×
M. R. AlRashidi · 1×
Citations per year

Countries citing papers authored by J.S. Dhillon

Since Specialization
Citations

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

Fields of papers citing papers by J.S. Dhillon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.S. Dhillon. 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 J.S. Dhillon. The network helps show where J.S. Dhillon may publish in the future.

Co-authors

The 18 scholars most cited alongside J.S. Dhillon, 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 J.S. Dhillon Line = papers co-authored together J.S. Dhillon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 115 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993343
2 2015175
3 2018133
4 201894
5 201690
6 201971
7 201665
8 200863
9 201257
10 201657
11 202056
12 201556
13 200256
14 200054
15 200244
16 201839
17 201939
18 201836
19 201436
20 200331

About J.S. Dhillon

J.S. Dhillon is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Computational Mechanics, Computational Theory and Mathematics and Control and Systems Engineering, having authored 115 papers that have together received 2.3k indexed citations. Recurring topics across this work include Electric Power System Optimization (88 papers), Optimal Power Flow Distribution (61 papers), Energy Load and Power Forecasting (35 papers), Smart Grid Energy Management (34 papers), Metaheuristic Optimization Algorithms Research (26 papers), Advanced Adaptive Filtering Techniques (18 papers), Integrated Energy Systems Optimization (13 papers) and Advanced Multi-Objective Optimization Algorithms (11 papers). The work is most often cited by research in Energy Engineering and Power Technology (107 citations), Electrical and Electronic Engineering (1.9k citations), Control and Systems Engineering (377 citations), Artificial Intelligence (491 citations) and Computational Theory and Mathematics (242 citations). J.S. Dhillon has collaborated with scholars based in India. Frequent co-authors include D. P. Kothari, Nitin Narang, S. K. Bath, Vikram Kumar Kamboj, Yadwinder Singh Brar, Manmohan Singh, Nirbhow Jap Singh, Lakhwinder Pal Singh, Ashok Kumar and Manjeet Singh Patterh. Their work appears in journals such as Applied Soft Computing, International Journal of Electrical Power & Energy Systems, Neural Computing and Applications, Energy and Electric Power Systems Research.

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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