Badar ul Islam
Impact in
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- Stock Market Forecasting Methods
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- Neural Networks and Applications
Papers in
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- Energy Load and Power Forecasting 10
- Wireless Power Transfer Systems 2
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- Neural Networks and Applications 5
- Solar Radiation and Photovoltaics 3
- Co-authors
- Zuhairi Baharudin (11 shared papers)Perumal Nallagownden (9 shared papers)Shams Forruque Ahmed (1 shared paper)Syed Ali Ammar Taqvi (1 shared paper)Tazien Rashid (1 shared paper)Farooq Sher (1 shared paper)Saddaf Rubab (1 shared paper)Muhammad Bilal (1 shared paper)
- Journals
- Current Medicinal Chemistry (2 papers)Neural Computing and Applications (1 paper)Fuel (1 paper)Chemical Engineering & Technology (1 paper)Mathematical Problems in Engineering (2 papers)
- Partner nations
- MalaysiaPakistanSaudi Arabia
In The Last Decade
Badar ul Islam
20 papers receiving 287 citations
Peers
Comparison fields: 5 of 98
- Management Science and Operations Research 35
- Artificial Intelligence 54
- Energy Engineering and Power Technology 5
- Electrical and Electronic Engineering 89
- Biomedical Engineering 66
Countries citing papers authored by Badar ul Islam
This map shows the geographic impact of Badar ul Islam'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 Badar ul Islam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Badar ul Islam more than expected).
Fields of papers citing papers by Badar ul Islam
This network shows the impact of papers produced by Badar ul Islam. 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 Badar ul Islam. The network helps show where Badar ul Islam may publish in the future.
Co-authors
The 25 scholars most cited alongside Badar ul Islam, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 100 | |
| 2 | 2021 | 45 | |
| 3 | 2016 | 35 | |
| 4 | 2014 | 33 | |
| 5 | 2022 | 30 | |
| 6 | 2014 | 12 | |
| 7 | 2019 | 10 | |
| 8 | 2014 | 5 | |
| 9 | 2013 | 5 | |
| 10 | 2020 | 4 | |
| 11 | 2017 | 4 | |
| 12 | 2021 | 3 | |
| 13 | 2015 | 3 | |
| 14 | 2019 | 2 | |
| 15 | 2017 | 2 | |
| 16 | 2024 | 2 | |
| 17 | 2021 | 1 | |
| 18 | 2020 | 1 | |
| 19 | 2016 | 1 | |
| 20 | An Emotional Neural Network for Electrical Load Demand Forecast | 2018 | 1 |
About Badar ul Islam
Badar ul Islam is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Management Science and Operations Research, Environmental Engineering and Biomedical Engineering, having authored 21 papers that have together received 299 indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (10 papers), Neural Networks and Applications (5 papers), Hydrological Forecasting Using AI (4 papers), Solar Radiation and Photovoltaics (3 papers), Fuzzy and Soft Set Theory (3 papers), Wireless Power Transfer Systems (2 papers), Wireless Body Area Networks (2 papers) and Grey System Theory Applications (2 papers). The work is most often cited by research in Management Science and Operations Research (35 citations), Artificial Intelligence (54 citations), Energy Engineering and Power Technology (5 citations), Electrical and Electronic Engineering (89 citations) and Biomedical Engineering (66 citations). Badar ul Islam has collaborated with scholars based in Malaysia, Pakistan and Saudi Arabia. Frequent co-authors include Zuhairi Baharudin, Perumal Nallagownden, Shams Forruque Ahmed, Syed Ali Ammar Taqvi, Tazien Rashid, Farooq Sher, Saddaf Rubab, Muhammad Bilal, T. Murugesan and Muhammad Qamar Raza. Their work appears in journals such as Current Medicinal Chemistry, Neural Computing and Applications, Fuel, Chemical Engineering & Technology and Mathematical Problems in Engineering.
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.