Muhammad Bashar Anwar

671 citations
15 papers · 520 · h-index 10

Impact in

Papers in

Muhammad Bashar Anwar

15 papers receiving 507 citations

Peers

Muhammad Bashar Anwar
Comparison fields: 5 of 36
  • Energy Engineering and Power Technology 27
  • Electrical and Electronic Engineering 405
  • Artificial Intelligence 71
  • Renewable Energy, Sustainability and the Environment 23
  • Control and Systems Engineering 24
Replace Chia‐Sheng Tu with:
Chia‐Sheng Tu Taiwan
Reza Sirjani Cyprus
Cenk Gezegin Türkiye
Altaf Q. H. Badar India
Rasha Elazab Egypt
Elham Shirazi Netherlands
Mahmoud Gamal Hemeida Egypt
José Andrade Portugal
Rongrit Chatthaworn Thailand
Abhishek Somani United States
Muhammad Bashar Anwar relative to Chia‐Sheng Tu Taiwan Chia‐Sheng Tu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Muhammad Bashar Anwar

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Bashar Anwar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Muhammad Bashar Anwar. 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 Muhammad Bashar Anwar. The network helps show where Muhammad Bashar Anwar may publish in the future.

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2016172
2 2022105
3 202066
4 201857
5 202141
6 201515
7 201912
8 202112
9 202312
10 201611
11 20247
12 20144
13 20183
14 20172
15 20181

About Muhammad Bashar Anwar

Muhammad Bashar Anwar is a scholar working on Electrical and Electronic Engineering, Energy Engineering and Power Technology, Artificial Intelligence, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 15 papers that have together received 520 indexed citations. Recurring topics across this work include Smart Grid Energy Management (7 papers), Integrated Energy Systems Optimization (4 papers), Electric Power System Optimization (3 papers), Wind Turbine Control Systems (2 papers), Solar Radiation and Photovoltaics (1 paper), Power Systems and Renewable Energy (1 paper), Electric Vehicles and Infrastructure (1 paper) and Energy Load and Power Forecasting (1 paper). The work is most often cited by research in Energy Engineering and Power Technology (27 citations), Electrical and Electronic Engineering (405 citations), Artificial Intelligence (71 citations), Renewable Energy, Sustainability and the Environment (23 citations) and Control and Systems Engineering (24 citations). Muhammad Bashar Anwar has collaborated with scholars based in Ireland, United States and Switzerland. Frequent co-authors include Mohamed Shawky El Moursi, Amer Al‐Hinai, Mark O’Malley, Matteo Muratori, Paige Jadun, Brian Bush, Ookie Ma, Paul L. Denholm, Elaine T. Hale and Kara Podkaminer. Their work appears in journals such as IEEE Transactions on Smart Grid, Applied Energy, IEEE Transactions on Sustainable Energy, Energy & Environmental Science and IET Renewable Power Generation.

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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