Aamir Anwar
Impact in
- Computer Science Applications top 10%
- Online Learning and Analytics
- Signal Processing top 10%
- Advanced Malware Detection Techniques
Papers in
-
- Sentiment Analysis and Opinion Mining 3
-
- Online Learning and Analytics 6
- Co-authors
- Ikram Ur Rehman (10 shared papers)Moustafa M. Nasralla (6 shared papers)Saddam Hussain (9 shared papers)Syed Muhammad Usman (7 shared papers)Syed Sajid Ullah (8 shared papers)Waqar Asif (2 shared papers)Hafiz Husnain Raza Sherazi (2 shared papers)Hela Elmannai (3 shared papers)
- Journals
- Sensors (3 papers)IEEE Access (3 papers)Inflammopharmacology (1 paper)Cardiovascular Toxicology (1 paper)Applied Sciences (1 paper)
- Partner nations
- United KingdomSaudi ArabiaPakistan
In The Last Decade
Aamir Anwar
29 papers receiving 301 citations
Peers
Comparison fields: 5 of 85
- Computer Science Applications 47
- Signal Processing 49
- Cognitive Neuroscience 73
- Health Informatics 5
- Computer Networks and Communications 66
Countries citing papers authored by Aamir Anwar
This map shows the geographic impact of Aamir Anwar'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 Aamir Anwar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aamir Anwar more than expected).
Fields of papers citing papers by Aamir Anwar
This network shows the impact of papers produced by Aamir Anwar. 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 Aamir Anwar. The network helps show where Aamir Anwar may publish in the future.
Co-authors
The 25 scholars most cited alongside Aamir Anwar, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 36 | |
| 2 | 2021 | 33 | |
| 3 | 2022 | 29 | |
| 4 | 2022 | 25 | |
| 5 | 2022 | 25 | |
| 6 | 2023 | 21 | |
| 7 | 2023 | 16 | |
| 8 | 2020 | 16 | |
| 9 | 2022 | 15 | |
| 10 | 2022 | 14 | |
| 11 | 2022 | 14 | |
| 12 | 2022 | 8 | |
| 13 | 2022 | 8 | |
| 14 | 2021 | 8 | |
| 15 | 2023 | 6 | |
| 16 | 2021 | 6 | |
| 17 | 2024 | 5 | |
| 18 | 2022 | 5 | |
| 19 | 2025 | 4 | |
| 20 | 2022 | 4 |
About Aamir Anwar
Aamir Anwar is a scholar working on Artificial Intelligence, Computer Science Applications, Cardiology and Cardiovascular Medicine, Information Systems and Cognitive Neuroscience, having authored 30 papers that have together received 310 indexed citations. Recurring topics across this work include Online Learning and Analytics (6 papers), Innovative Teaching and Learning Methods (5 papers), EEG and Brain-Computer Interfaces (4 papers), Sentiment Analysis and Opinion Mining (3 papers), Network Security and Intrusion Detection (3 papers), ECG Monitoring and Analysis (3 papers), Emotion and Mood Recognition (2 papers) and IoT and Edge/Fog Computing (2 papers). The work is most often cited by research in Computer Science Applications (47 citations), Signal Processing (49 citations), Cognitive Neuroscience (73 citations), Health Informatics (5 citations) and Computer Networks and Communications (66 citations). Aamir Anwar has collaborated with scholars based in United Kingdom, Saudi Arabia and Pakistan. Frequent co-authors include Ikram Ur Rehman, Moustafa M. Nasralla, Saddam Hussain, Syed Muhammad Usman, Syed Sajid Ullah, Waqar Asif, Hafiz Husnain Raza Sherazi, Hela Elmannai, Amanullah Yasin and Roobaea Alroobaea. Their work appears in journals such as Sensors, IEEE Access, Inflammopharmacology, Cardiovascular Toxicology and Applied Sciences.
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.