Azad Ashraf
Impact in
-
- Municipal Solid Waste Management
- Recycling and Waste Management Techniques
Papers in
-
- Municipal Solid Waste Management 12
- Recycling and Waste Management Techniques 8
-
- Advanced Neural Network Applications 5
- Co-authors
- Amith Khandakar (16 shared papers)Saad Bin Abul Kashem (13 shared papers)Muhammad E. H. Chowdhury (10 shared papers)Kishwar Ali (3 shared papers)Muhammad Atif Azeem (1 shared paper)Abid Ullah (1 shared paper)Mohamed Arselene Ayari (4 shared papers)Mohannad Aljarrah (3 shared papers)
- Journals
- Neural Computing and Applications (2 papers)IEEE Access (2 papers)Waste Management (2 papers)Computers & Electrical Engineering (2 papers)Cleaner Environmental Systems (1 paper)
- Partner nations
- QatarBangladeshUnited Kingdom
In The Last Decade
Azad Ashraf
23 papers receiving 232 citations
Peers
Comparison fields: 5 of 72
- Industrial and Manufacturing Engineering 56
- Energy Engineering and Power Technology 5
- Computer Vision and Pattern Recognition 28
- Soil Science 10
- Plant Science 36
Countries citing papers authored by Azad Ashraf
This map shows the geographic impact of Azad Ashraf'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 Azad Ashraf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Azad Ashraf more than expected).
Fields of papers citing papers by Azad Ashraf
This network shows the impact of papers produced by Azad Ashraf. 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 Azad Ashraf. The network helps show where Azad Ashraf may publish in the future.
Co-authors
The 25 scholars most cited alongside Azad Ashraf, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 37 | |
| 2 | 2022 | 34 | |
| 3 | 2023 | 31 | |
| 4 | 2024 | 18 | |
| 5 | 2024 | 18 | |
| 6 | 2025 | 14 | |
| 7 | 2020 | 13 | |
| 8 | 2024 | 10 | |
| 9 | 2024 | 9 | |
| 10 | 2022 | 9 | |
| 11 | 2025 | 8 | |
| 12 | 2024 | 6 | |
| 13 | 2024 | 5 | |
| 14 | 2022 | 5 | |
| 15 | 2020 | 4 | |
| 16 | 2025 | 4 | |
| 17 | 2022 | 3 | |
| 18 | 2021 | 3 | |
| 19 | 2024 | 2 | |
| 20 | 2025 | 1 |
About Azad Ashraf
Azad Ashraf is a scholar working on Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition, Building and Construction, Public Health, Environmental and Occupational Health and Aerospace Engineering, having authored 25 papers that have together received 237 indexed citations. Recurring topics across this work include Municipal Solid Waste Management (12 papers), Recycling and Waste Management Techniques (8 papers), Advanced Neural Network Applications (5 papers), Recycled Aggregate Concrete Performance (3 papers), Wind Turbine Control Systems (2 papers), Wind Energy Research and Development (2 papers), Healthcare and Environmental Waste Management (2 papers) and Robotics and Sensor-Based Localization (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (56 citations), Energy Engineering and Power Technology (5 citations), Computer Vision and Pattern Recognition (28 citations), Soil Science (10 citations) and Plant Science (36 citations). Azad Ashraf has collaborated with scholars based in Qatar, Bangladesh and United Kingdom. Frequent co-authors include Amith Khandakar, Saad Bin Abul Kashem, Muhammad E. H. Chowdhury, Kishwar Ali, Muhammad Atif Azeem, Abid Ullah, Mohamed Arselene Ayari, Mohannad Aljarrah, Sakib Mahmud and Md. Nahiduzzaman. Their work appears in journals such as Neural Computing and Applications, IEEE Access, Waste Management, Computers & Electrical Engineering and Cleaner Environmental Systems.
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.