Saba Aslam
Impact in
-
- High-Energy Particle Collisions Research
- Quantum Chromodynamics and Particle Interactions
- Particle physics theoretical and experimental studies
Papers in
-
- Quantum Chromodynamics and Particle Interactions 11
- High-Energy Particle Collisions Research 11
- Particle physics theoretical and experimental studies 10
-
- Domain Adaptation and Few-Shot Learning 2
- Text and Document Classification Technologies 2
- Sentiment Analysis and Opinion Mining 2
- Co-authors
- Abdur Rasool (6 shared papers)Nazish Jahan (3 shared papers)Hui Chen (1 shared paper)Khalil Ur Rahman (1 shared paper)Fareeha Anwar (1 shared paper)Shaukat Ali (1 shared paper)Khalil‐ur‐Rehman (1 shared paper)Yi Feng Pan (1 shared paper)
- Journals
- Physics Letters B (5 papers)Physical Review Letters (4 papers)IEEE Access (2 papers)Physical review. D (1 paper)BMC Pregnancy and Childbirth (1 paper)
- Partner nations
- ChinaUnited StatesPakistan
In The Last Decade
Saba Aslam
34 papers receiving 231 citations
Peers
Comparison fields: 5 of 76
- Nuclear and High Energy Physics 61
- Complementary and alternative medicine 11
- Information Systems 28
- Pharmacology 9
- Signal Processing 11
Countries citing papers authored by Saba Aslam
This map shows the geographic impact of Saba Aslam'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 Aslam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saba Aslam more than expected).
Fields of papers citing papers by Saba Aslam
This network shows the impact of papers produced by Saba Aslam. 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 Aslam. The network helps show where Saba Aslam may publish in the future.
Co-authors
The 25 scholars most cited alongside Saba Aslam, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 38 | |
| 2 | 2024 | 31 | |
| 3 | 2015 | 25 | |
| 4 | 2025 | 13 | |
| 5 | 2025 | 13 | |
| 6 | 2025 | 12 | |
| 7 | 2019 | 11 | |
| 8 | 2024 | 10 | |
| 9 | 2024 | 9 | |
| 10 | 2018 | 9 | |
| 11 | 2025 | 8 | |
| 12 | 2021 | 7 | |
| 13 | 2024 | 7 | |
| 14 | 2018 | 7 | |
| 15 | 2025 | 4 | |
| 16 | 2025 | 4 | |
| 17 | 2024 | 4 | |
| 18 | 2016 | 3 | |
| 19 | 2019 | 3 | |
| 20 | 2024 | 3 |
About Saba Aslam
Saba Aslam is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence, Biochemistry, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology, having authored 38 papers that have together received 239 indexed citations. Recurring topics across this work include Quantum Chromodynamics and Particle Interactions (11 papers), High-Energy Particle Collisions Research (11 papers), Particle physics theoretical and experimental studies (10 papers), Image Retrieval and Classification Techniques (2 papers), Domain Adaptation and Few-Shot Learning (2 papers), Text and Document Classification Technologies (2 papers), Sentiment Analysis and Opinion Mining (2 papers) and EEG and Brain-Computer Interfaces (2 papers). The work is most often cited by research in Nuclear and High Energy Physics (61 citations), Complementary and alternative medicine (11 citations), Information Systems (28 citations), Pharmacology (9 citations) and Signal Processing (11 citations). Saba Aslam has collaborated with scholars based in China, United States and Pakistan. Frequent co-authors include Abdur Rasool, Nazish Jahan, Hui Chen, Khalil Ur Rahman, Fareeha Anwar, Shaukat Ali, Khalil‐ur‐Rehman, Yi Feng Pan, Hongyan Wu and Qingshan Jiang. Their work appears in journals such as Physics Letters B, Physical Review Letters, IEEE Access, Physical review. D and BMC Pregnancy and Childbirth.
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.