Aisha Batool
Impact in
-
- Big Data and Business Intelligence
Papers in
-
- Cloud Computing and Resource Management 5
- Software Engineering Research 2
-
- IoT and Edge/Fog Computing 5
- Co-authors
- Muhammad Habib ur Rehman (9 shared papers)Teh Ying Wah (1 shared paper)Victor Chang (1 shared paper)Jennifer Malpeso (1 shared paper)Irfan Zeb (1 shared paper)Ferdinand Flores (1 shared paper)Ronald P. Karlsberg (1 shared paper)Matthew J. Budoff (1 shared paper)
- Journals
- IT Professional (2 papers)Big Data (1 paper)Image and Vision Computing (1 paper)Atherosclerosis (1 paper)International Journal of Information Management (1 paper)
- Partner nations
- PakistanMalaysiaSaudi Arabia
In The Last Decade
Aisha Batool
16 papers receiving 402 citations
Peers
Comparison fields: 5 of 85
- Management Information Systems 137
- Information Systems and Management 35
- Industrial and Manufacturing Engineering 45
- Management Science and Operations Research 54
- Radiology, Nuclear Medicine and Imaging 72
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 | 225 | |
| 2 | 2013 | 122 | |
| 3 | 2022 | 12 | |
| 4 | 2015 | 11 | |
| 5 | 2019 | 9 | |
| 6 | 2017 | 9 | |
| 7 | 2016 | 7 | |
| 8 | 2021 | 6 | |
| 9 | 2022 | 6 | |
| 10 | 2023 | 3 | |
| 11 | 2015 | 2 | |
| 12 | 2021 | 2 | |
| 13 | 2017 | 2 | |
| 14 | 2014 | 1 | |
| 15 | 2017 | 1 | |
| 16 | 2023 | 1 | |
| 17 | 2015 | 1 | |
| 18 | 2021 | 0 |
About Aisha Batool
Aisha Batool is a scholar working on Information Systems, Computer Networks and Communications, Computer Vision and Pattern Recognition, Artificial Intelligence and Management Information Systems, having authored 18 papers that have together received 420 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (5 papers), Cloud Computing and Resource Management (5 papers), Advanced Neural Network Applications (3 papers), Big Data and Business Intelligence (3 papers), Infrastructure Maintenance and Monitoring (2 papers), Vehicle License Plate Recognition (2 papers), Software Engineering Research (2 papers) and Software Reliability and Analysis Research (2 papers). The work is most often cited by research in Management Information Systems (137 citations), Information Systems and Management (35 citations), Industrial and Manufacturing Engineering (45 citations), Management Science and Operations Research (54 citations) and Radiology, Nuclear Medicine and Imaging (72 citations). Aisha Batool has collaborated with scholars based in Pakistan, Malaysia and Saudi Arabia. Frequent co-authors include Muhammad Habib ur Rehman, Teh Ying Wah, Victor Chang, Jennifer Malpeso, Irfan Zeb, Ferdinand Flores, Ronald P. Karlsberg, Matthew J. Budoff, Dong Li and Khurram Nasir. Their work appears in journals such as IT Professional, Big Data, Image and Vision Computing, Atherosclerosis and International Journal of Information Management.
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.