Adil Sarwar

4.6k citations
212 papers · 3.4k · h-index 30

Impact in

Papers in

Adil Sarwar

195 papers receiving 3.3k citations

Peers

Adil Sarwar
Comparison fields: 5 of 89
  • Automotive Engineering 579
  • Electrical and Electronic Engineering 2.7k
  • Renewable Energy, Sustainability and the Environment 669
  • Control and Systems Engineering 908
  • Condensed Matter Physics 362
Replace Toshihisa Shimizu with:
Toshihisa Shimizu Japan
Jiann-Fuh Chen Taiwan
Gabriele Grandi Italy
Martin Ordonez Canada
Huang‐Jen Chiu Taiwan
Tsai‐Fu Wu Taiwan
K. H. Loo Hong Kong
Olivier Trescases Canada
Jack Flicker United States
Wensong Yu United States
Adil Sarwar relative to Toshihisa Shimizu Japan Toshihisa Shimizu's profile →
Citations per field
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Toshihisa Shimizu · 1×
Citations per year

Countries citing papers authored by Adil Sarwar

Since Specialization
Citations

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

Fields of papers citing papers by Adil Sarwar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 212 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019267
2 2019175
3 2019130
4 202187
5 201686
6 201370
7 202268
8 202166
9 202165
10 202064
11 202155
12 202054
13 201951
14 202150
15 201450
16 202145
17 202344
18 202043
19 202143
20 202143

About Adil Sarwar

Adil Sarwar is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Renewable Energy, Sustainability and the Environment, Artificial Intelligence and Automotive Engineering, having authored 212 papers that have together received 3.4k indexed citations. Recurring topics across this work include Multilevel Inverters and Converters (142 papers), Advanced DC-DC Converters (111 papers), Silicon Carbide Semiconductor Technologies (75 papers), Microgrid Control and Optimization (58 papers), Photovoltaic System Optimization Techniques (43 papers), Solar Radiation and Photovoltaics (22 papers), solar cell performance optimization (22 papers) and Advanced Battery Technologies Research (18 papers). The work is most often cited by research in Automotive Engineering (579 citations), Electrical and Electronic Engineering (2.7k citations), Renewable Energy, Sustainability and the Environment (669 citations), Control and Systems Engineering (908 citations) and Condensed Matter Physics (362 citations). Adil Sarwar has collaborated with scholars based in India, Saudi Arabia and United States. Frequent co-authors include Mohd Tariq, Marif Daula Siddique, Saad Mekhilef, Atif Iqbal, Roberto C. Myers, M. S. Jamil Asghar, Noraisyah Mohamed Shah, Mohd Rizwan Khalid, Shafiq Ahmad and Mohammad Saad Alam. Their work appears in journals such as IEEE Access, Electronics, International Journal of Circuit Theory and Applications, Energies and IET Power Electronics.

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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