Aisha Batool
Impact in
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- Big Data and Business Intelligence
Papers in
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- Cloud Computing and Resource Management 3
- Software Engineering Research 2
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- Advanced Neural Network Applications 3
- Co-authors
- Muhammad Habib ur Rehman (7 shared papers)Teh Ying Wah (2 shared papers)Victor Chang (1 shared paper)Christopher Dailing (1 shared paper)Ferdinand Flores (1 shared paper)Khurram Nasir (1 shared paper)Dong Li (1 shared paper)Ronald P. Karlsberg (1 shared paper)
- Journals
- IT Professional (2 papers)International Journal of Information Management (1 paper)Big Data (1 paper)Image and Vision Computing (1 paper)Atherosclerosis (1 paper)
- Partner nations
- PakistanUnited StatesSaudi Arabia
In The Last Decade
Aisha Batool
14 papers receiving 355 citations
Peers
Comparison fields: 5 of 90
- Management Information Systems 115
- Information Systems and Management 28
- Management Science and Operations Research 49
- Radiology, Nuclear Medicine and Imaging 87
- Industrial and Manufacturing Engineering 35
Countries citing papers authored by Aisha Batool
This map shows the geographic impact of Aisha Batool'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 Batool with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aisha Batool more than expected).
Fields of papers citing papers by Aisha Batool
This network shows the impact of papers produced by Aisha Batool. 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 Batool. The network helps show where Aisha Batool may publish in the future.
Co-authors
The 25 scholars most cited alongside Aisha Batool, 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 | 2016 | 199 | |
| 2 | 2013 | 118 | |
| 3 | 2022 | 10 | |
| 4 | 2019 | 9 | |
| 5 | 2015 | 7 | |
| 6 | 2017 | 7 | |
| 7 | 2022 | 5 | |
| 8 | 2021 | 5 | |
| 9 | 2023 | 3 | |
| 10 | 2015 | 2 | |
| 11 | 2021 | 2 | |
| 12 | 2017 | 2 | |
| 13 | 2014 | 1 | |
| 14 | 2023 | 1 | |
| 15 | 2015 | 1 | |
| 16 | 2021 | 0 |
About Aisha Batool
Aisha Batool is a scholar working on Information Systems, Computer Vision and Pattern Recognition, Computer Networks and Communications, Artificial Intelligence and Surgery, having authored 16 papers that have together received 372 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (3 papers), IoT and Edge/Fog Computing (3 papers), Cloud Computing and Resource Management (3 papers), Software Reliability and Analysis Research (2 papers), Vehicle License Plate Recognition (2 papers), Infrastructure Maintenance and Monitoring (2 papers), Software Engineering Research (2 papers) and Caching and Content Delivery (1 paper). The work is most often cited by research in Management Information Systems (115 citations), Information Systems and Management (28 citations), Management Science and Operations Research (49 citations), Radiology, Nuclear Medicine and Imaging (87 citations) and Industrial and Manufacturing Engineering (35 citations). Aisha Batool has collaborated with scholars based in Pakistan, United States and Saudi Arabia. Frequent co-authors include Muhammad Habib ur Rehman, Teh Ying Wah, Victor Chang, Christopher Dailing, Ferdinand Flores, Khurram Nasir, Dong Li, Ronald P. Karlsberg, Jennifer Malpeso and Matthew J. Budoff. Their work appears in journals such as IT Professional, International Journal of Information Management, Big Data, Image and Vision Computing and Atherosclerosis.
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.