Mohammad Ammad Uddin
Impact in
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- IoT and Edge/Fog Computing
- Energy Efficient Wireless Sensor Networks
- Plant Science top 10%
- Smart Agriculture and AI
Papers in
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- Energy Efficient Wireless Sensor Networks 3
- IoT and Edge/Fog Computing 3
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- Smart Grid Energy Management 3
- Co-authors
- El‐Hadi M. Aggoune (6 shared papers)Muhammad Ayaz (4 shared papers)Ali Mansour (7 shared papers)Imran Baig (1 shared paper)M. Ayaz (1 shared paper)Muhammad Sajjad (1 shared paper)Zubair Sharif (1 shared paper)Ayshah S. Alatawi (1 shared paper)
- Journals
- IEEE Access (3 papers)Applied Sciences (3 papers)Sensors (2 papers)Photonics (1 paper)IEEE Sensors Journal (1 paper)
- Partner nations
- Saudi ArabiaFranceAustralia
In The Last Decade
Mohammad Ammad Uddin
20 papers receiving 579 citations
Peers
Comparison fields: 5 of 83
- Computer Networks and Communications 254
- Plant Science 199
- Water Science and Technology 54
- Analytical Chemistry 35
- Biomedical Engineering 151
Countries citing papers authored by Mohammad Ammad Uddin
This map shows the geographic impact of Mohammad Ammad Uddin'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 Mohammad Ammad Uddin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Ammad Uddin more than expected).
Fields of papers citing papers by Mohammad Ammad Uddin
This network shows the impact of papers produced by Mohammad Ammad Uddin. 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 Mohammad Ammad Uddin. The network helps show where Mohammad Ammad Uddin may publish in the future.
Co-authors
The 19 scholars most cited alongside Mohammad Ammad Uddin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 134 | |
| 2 | 2017 | 124 | |
| 3 | 2022 | 94 | |
| 4 | 2018 | 83 | |
| 5 | 2021 | 39 | |
| 6 | 2022 | 38 | |
| 7 | 2014 | 33 | |
| 8 | 2019 | 22 | |
| 9 | 2022 | 21 | |
| 10 | 2024 | 7 | |
| 11 | 2024 | 5 | |
| 12 | 2024 | 3 | |
| 13 | 2025 | 2 | |
| 14 | 2013 | 2 | |
| 15 | 2024 | 1 | |
| 16 | 2012 | 1 | |
| 17 | 2014 | 1 | |
| 18 | 2013 | 1 | |
| 19 | 2013 | 1 | |
| 20 | 2013 | 1 |
About Mohammad Ammad Uddin
Mohammad Ammad Uddin is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Aerospace Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 20 papers that have together received 613 indexed citations. Recurring topics across this work include UAV Applications and Optimization (4 papers), Smart Agriculture and AI (4 papers), Energy Efficient Wireless Sensor Networks (3 papers), IoT and Edge/Fog Computing (3 papers), Smart Grid Security and Resilience (3 papers), Smart Grid Energy Management (3 papers), Microgrid Control and Optimization (2 papers) and Wireless Body Area Networks (2 papers). The work is most often cited by research in Computer Networks and Communications (254 citations), Plant Science (199 citations), Water Science and Technology (54 citations), Analytical Chemistry (35 citations) and Biomedical Engineering (151 citations). Mohammad Ammad Uddin has collaborated with scholars based in Saudi Arabia, France and Australia. Frequent co-authors include El‐Hadi M. Aggoune, Muhammad Ayaz, Ali Mansour, Imran Baig, M. Ayaz, Muhammad Sajjad, Zubair Sharif, Ayshah S. Alatawi, Mohamed Abaza and Majed Aborokbah. Their work appears in journals such as IEEE Access, Applied Sciences, Sensors, Photonics and IEEE Sensors Journal.
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.