Aisha Siddiqa
Impact in
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- IoT and Edge/Fog Computing
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- Big Data and Business Intelligence
Papers in
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- IoT and Edge/Fog Computing 5
- Caching and Content Delivery 3
- Advanced Database Systems and Queries 1
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- Cloud Computing and Resource Management 5
- Co-authors
- Abdullah Gani (5 shared papers)Fariza Hanum Nasaruddin (3 shared papers)Ahmad Karim (6 shared papers)Mohamed Hashem (4 shared papers)Ibrar Yaqoob (2 shared papers)Mohsen Marjani (2 shared papers)Shahaboddin Shamshirband (1 shared paper)Victor Chang (3 shared papers)
In The Last Decade
Aisha Siddiqa
10 papers receiving 1.1k citations
Aisha Siddiqa's Hit Papers
Peers
Comparison fields: 5 of 110
- Computer Networks and Communications 520
- Management Information Systems 193
- Information Systems 362
- Information Systems and Management 81
- Signal Processing 124
Countries citing papers authored by Aisha Siddiqa
This map shows the geographic impact of Aisha Siddiqa'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 Siddiqa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aisha Siddiqa more than expected).
Fields of papers citing papers by Aisha Siddiqa
This network shows the impact of papers produced by Aisha Siddiqa. 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 Siddiqa. The network helps show where Aisha Siddiqa may publish in the future.
Co-authors
The 22 scholars most cited alongside Aisha Siddiqa, 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 | Big IoT Data Analytics: Architecture, Opportunities, and Open Research Challenges Hit paper breakdown → | 2017 | 594 |
| 2 | 2015 | 182 | |
| 3 | 2016 | 154 | |
| 4 | 2017 | 77 | |
| 5 | 2017 | 55 | |
| 6 | 2017 | 27 | |
| 7 | 2016 | 19 | |
| 8 | 2024 | 13 | |
| 9 | 2017 | 5 | |
| 10 | 2017 | 5 | |
| 11 | 2025 | 0 |
About Aisha Siddiqa
Aisha Siddiqa is a scholar working on Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition, Signal Processing and Management Information Systems, having authored 11 papers that have together received 1.1k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (5 papers), Cloud Computing and Resource Management (5 papers), Data Management and Algorithms (3 papers), Caching and Content Delivery (3 papers), Big Data and Business Intelligence (2 papers), Green IT and Sustainability (1 paper), Advanced Database Systems and Queries (1 paper) and Context-Aware Activity Recognition Systems (1 paper). The work is most often cited by research in Computer Networks and Communications (520 citations), Management Information Systems (193 citations), Information Systems (362 citations), Information Systems and Management (81 citations) and Signal Processing (124 citations). Aisha Siddiqa has collaborated with scholars based in Malaysia, Pakistan and China. Frequent co-authors include Abdullah Gani, Fariza Hanum Nasaruddin, Ahmad Karim, Mohamed Hashem, Ibrar Yaqoob, Mohsen Marjani, Shahaboddin Shamshirband, Victor Chang, Samee U. Khan and Junaid Shuja. Their work appears in journals such as Journal of Intelligent & Fuzzy Systems, Future Generation Computer Systems, Neural Computing and Applications, IEEE Access and Knowledge and Information 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.