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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- Artificial Intelligence in Healthcare 2
- Co-authors
- Amir Hussain (4 shared papers)Muhammad Wasif Nisar (4 shared papers)Junaid Rashid (4 shared papers)Jungeun Kim (4 shared papers)Hyuk-Yoon Kwon (1 shared paper)Faiz Anwer (4 shared papers)Toqeer Mahmood (1 shared paper)Shahzad Raza (3 shared papers)
- Journals
- Oncotarget (2 papers)Frontiers in Public Health (1 paper)British Journal of Haematology (1 paper)Journal of Clinical Medicine (1 paper)Education and Information Technologies (1 paper)
- Partner nations
- PakistanUnited StatesUnited Kingdom
In The Last Decade
Saba Batool
12 papers receiving 246 citations
Peers
Comparison fields: 5 of 78
- Computer Science Applications 87
- Health Informatics 17
- Health Information Management 46
- Artificial Intelligence 68
- Hematology 18
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 | 107 | |
| 2 | 2022 | 62 | |
| 3 | 2023 | 24 | |
| 4 | 2021 | 22 | |
| 5 | 2023 | 14 | |
| 6 | 2023 | 13 | |
| 7 | 2021 | 4 | |
| 8 | 2020 | 3 | |
| 9 | 2024 | 2 | |
| 10 | 2022 | 1 | |
| 11 | 2021 | 1 | |
| 12 | 2020 | 1 | |
| 13 | 2025 | 0 | |
| 14 | 2024 | 0 | |
| 15 | 2023 | 0 |
About Saba Batool
Saba Batool is a scholar working on Hematology, Health Information Management, Computer Science Applications, Marketing and Applied Mathematics, having authored 15 papers that have together received 254 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (2 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (2 papers), Consumer Retail Behavior Studies (2 papers), Multiple Myeloma Research and Treatments (2 papers), Online Learning and Analytics (2 papers), Medicinal Plant Research (2 papers), Glycosylation and Glycoproteins Research (1 paper) and Mathematical Inequalities and Applications (1 paper). The work is most often cited by research in Computer Science Applications (87 citations), Health Informatics (17 citations), Health Information Management (46 citations), Artificial Intelligence (68 citations) and Hematology (18 citations). Saba Batool has collaborated with scholars based in Pakistan, United States and United Kingdom. Frequent co-authors include Amir Hussain, Muhammad Wasif Nisar, Junaid Rashid, Jungeun Kim, Hyuk-Yoon Kwon, Faiz Anwer, Toqeer Mahmood, Shahzad Raza, Sabine Allam and Lewis Fady Nasr. Their work appears in journals such as Oncotarget, Frontiers in Public Health, British Journal of Haematology, Journal of Clinical Medicine and Education and Information Technologies.
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.