Afsah Anwar
- Signal Processing top 5%
- Advanced Malware Detection Techniques 11
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- Network Security and Intrusion Detection 13
- Artificial Intelligence top 10%
- Internet Traffic Analysis and Secure E-voting 5
- Adversarial Robustness in Machine Learning 3
- Software top 10%
- Software Reliability and Analysis Research 2
- Information Systems top 5%
- Blockchain Technology Applications and Security 5
- Information and Cyber Security 3
- Spam and Phishing Detection 2
- Co-authors
- Aziz MohaisenHisham AlasmaryAhmed AbusnainaDaeHun NyangAminollah KhormaliJeman ParkJinchun ChoiAmro Awad
- Journals
- SHILAP Revista de lepidopterología (1 paper)IEEE Access (1 paper)IEEE Internet of Things Journal (1 paper)
- Partner nations
- United StatesSouth KoreaSaudi Arabia
In The Last Decade
Afsah Anwar
20 papers receiving 341 citations
Peers
Comparison fields: 5 of 40
- Signal Processing 212
- Computer Networks and Communications 246
- Artificial Intelligence 180
- Software 21
- Information Systems 119
Countries citing papers authored by Afsah Anwar
This map shows the geographic impact of Afsah 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 Afsah Anwar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Afsah Anwar more than expected).
Fields of papers citing papers by Afsah Anwar
This network shows the impact of papers produced by Afsah 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 Afsah Anwar. The network helps show where Afsah Anwar may publish in the future.
Co-authorship network
The 21 scholars most cited alongside Afsah 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
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 4 | |
| 2 | 2023 | 2 | |
| 3 | 2022 | 2 | |
| 4 | 2022 | 1 | |
| 5 | 2022 | 6 | |
| 6 | 2022 | 8 | |
| 7 | 2021 | 42 | |
| 8 | 2021 | 21 | |
| 9 | 2021 | 7 | |
| 10 | 2021 | 3 | |
| 11 | 2020 | 27 | |
| 12 | 2020 | 6 | |
| 13 | 2020 | 1 | |
| 14 | 2019 | 55 | |
| 15 | 2019 | 115 | |
| 16 | 2019 | 1 | |
| 17 | 2019 | 30 | |
| 18 | 2019 | 5 | |
| 19 | 2019 | 14 | |
| 20 | 2018 | 1 |
About Afsah Anwar
Afsah Anwar is a scholar working on Software, Signal Processing and Computer Networks and Communications, having authored 20 papers that have together received 351 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (13 papers), Advanced Malware Detection Techniques (11 papers), Blockchain Technology Applications and Security (5 papers), Internet Traffic Analysis and Secure E-voting (5 papers), Adversarial Robustness in Machine Learning (3 papers), Information and Cyber Security (3 papers), Spam and Phishing Detection (2 papers) and Software Reliability and Analysis Research (2 papers). The work is most often cited by research in Signal Processing (212 citations), Computer Networks and Communications (246 citations) and Artificial Intelligence (180 citations). Afsah Anwar has collaborated with scholars based in United States, South Korea and Saudi Arabia. Frequent co-authors include Aziz Mohaisen, Hisham Alasmary, Ahmed Abusnaina, DaeHun Nyang, Aminollah Khormali, Jeman Park, Jinchun Choi, Amro Awad, Muhammad Saad and Mohammed Abuhamad. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Internet of Things Journal.
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.