Saba Batool
Impact in
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- Online Learning and Analytics
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
Papers in
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- Multiple Myeloma Research and Treatments 2
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- Medicinal Plant Research 2
- Co-authors
- Muhammad Wasif Nisar (4 shared papers)Amir Hussain (4 shared papers)Junaid Rashid (4 shared papers)Jungeun Kim (4 shared papers)Hyuk-Yoon Kwon (1 shared paper)Faiz Anwer (3 shared papers)Toqeer Mahmood (1 shared paper)Shahzad Raza (2 shared papers)
- Journals
- Education and Information Technologies (1 paper)Oncotarget (1 paper)Frontiers in Public Health (1 paper)Antibodies (1 paper)Journal of Clinical Medicine (1 paper)
- Partner nations
- PakistanUnited StatesUnited Kingdom
In The Last Decade
Saba Batool
12 papers receiving 213 citations
Peers
Comparison fields: 5 of 75
- Computer Science Applications 73
- Health Informatics 16
- Health Information Management 42
- Artificial Intelligence 56
- Hematology 16
Countries citing papers authored by Saba Batool
This map shows the geographic impact of Saba 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 Saba Batool with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saba Batool more than expected).
Fields of papers citing papers by Saba Batool
This network shows the impact of papers produced by Saba 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 Saba Batool. The network helps show where Saba Batool may publish in the future.
Co-authors
The 25 scholars most cited alongside Saba 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 | 2022 | 87 | |
| 2 | 2022 | 57 | |
| 3 | 2023 | 21 | |
| 4 | 2021 | 19 | |
| 5 | 2023 | 13 | |
| 6 | 2023 | 12 | |
| 7 | 2021 | 4 | |
| 8 | 2020 | 3 | |
| 9 | 2024 | 2 | |
| 10 | 2022 | 1 | |
| 11 | 2021 | 1 | |
| 12 | 2020 | 1 | |
| 13 | 2024 | 0 | |
| 14 | 2025 | 0 |
About Saba Batool
Saba Batool is a scholar working on Hematology, Plant Science, Molecular Biology, Health Information Management and Marketing, having authored 14 papers that have together received 221 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (2 papers), Medicinal Plant Research (2 papers), Multiple Myeloma Research and Treatments (2 papers), Consumer Retail Behavior Studies (2 papers), Online Learning and Analytics (2 papers), Software System Performance and Reliability (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Educational Methods and Outcomes (1 paper). The work is most often cited by research in Computer Science Applications (73 citations), Health Informatics (16 citations), Health Information Management (42 citations), Artificial Intelligence (56 citations) and Hematology (16 citations). Saba Batool has collaborated with scholars based in Pakistan, United States and United Kingdom. Frequent co-authors include Muhammad Wasif Nisar, Amir Hussain, Junaid Rashid, Jungeun Kim, Hyuk-Yoon Kwon, Faiz Anwer, Toqeer Mahmood, Shahzad Raza, Lewis Nasr and Maroun Bou Zerdan. Their work appears in journals such as Education and Information Technologies, Oncotarget, Frontiers in Public Health, Antibodies and Journal of Clinical Medicine.
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.