Aisha Fatima
Impact in
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- IoT and Edge/Fog Computing
- Energy Efficient Wireless Sensor Networks
Papers in
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- Smart Grid Energy Management 3
- Energy Harvesting in Wireless Networks 2
- Electric Vehicles and Infrastructure 1
- Green IT and Sustainability 1
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- IoT and Edge/Fog Computing 4
- Co-authors
- Nadeem Javaid (9 shared papers)Turki Ali Alghamdi (4 shared papers)Tanzila Saba (1 shared paper)Sana Mujeeb (1 shared paper)Zahoor Ali Khan (3 shared papers)Mariam Akbar (3 shared papers)Adia Khalid (2 shared papers)Mariam Akbar (2 shared papers)
- Journals
- IEEE Access (3 papers)Applied Sciences (2 papers)Electronics (2 papers)BMC Women s Health (1 paper)IEEE Sensors Journal (1 paper)
- Partner nations
- PakistanUnited StatesSaudi Arabia
In The Last Decade
Aisha Fatima
17 papers receiving 298 citations
Peers
Comparison fields: 5 of 76
- Energy Engineering and Power Technology 24
- Computer Networks and Communications 105
- Information Systems 59
- Ocean Engineering 38
- Electrical and Electronic Engineering 135
Countries citing papers authored by Aisha Fatima
This map shows the geographic impact of Aisha Fatima'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 Aisha Fatima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aisha Fatima more than expected).
Fields of papers citing papers by Aisha Fatima
This network shows the impact of papers produced by Aisha Fatima. 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 Aisha Fatima. The network helps show where Aisha Fatima may publish in the future.
Co-authors
The 25 scholars most cited alongside Aisha Fatima, 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 | 2019 | 81 | |
| 2 | 2019 | 36 | |
| 3 | 2019 | 33 | |
| 4 | 2018 | 30 | |
| 5 | 2019 | 30 | |
| 6 | 2019 | 22 | |
| 7 | 2019 | 22 | |
| 8 | 2018 | 11 | |
| 9 | 2021 | 10 | |
| 10 | 2019 | 8 | |
| 11 | 2023 | 7 | |
| 12 | 2015 | 6 | |
| 13 | 2022 | 5 | |
| 14 | 2020 | 4 | |
| 15 | 2023 | 3 | |
| 16 | 2025 | 1 | |
| 17 | 2015 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2024 | 0 |
About Aisha Fatima
Aisha Fatima is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Information Systems, Pediatrics, Perinatology and Child Health and Ocean Engineering, having authored 19 papers that have together received 310 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (4 papers), Cloud Computing and Resource Management (3 papers), Smart Grid Energy Management (3 papers), Underwater Vehicles and Communication Systems (2 papers), Reproductive Health and Contraception (2 papers), Energy Harvesting in Wireless Networks (2 papers), Electric Vehicles and Infrastructure (1 paper) and Green IT and Sustainability (1 paper). The work is most often cited by research in Energy Engineering and Power Technology (24 citations), Computer Networks and Communications (105 citations), Information Systems (59 citations), Ocean Engineering (38 citations) and Electrical and Electronic Engineering (135 citations). Aisha Fatima has collaborated with scholars based in Pakistan, United States and Saudi Arabia. Frequent co-authors include Nadeem Javaid, Turki Ali Alghamdi, Tanzila Saba, Sana Mujeeb, Zahoor Ali Khan, Mariam Akbar, Adia Khalid, Mariam Akbar, Waqar Hussain and Manzoor Ilahi. Their work appears in journals such as IEEE Access, Applied Sciences, Electronics, BMC Women s Health 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.