Humaira Arshad
- Signal Processing top 2%
- Advanced Malware Detection Techniques 9
- Artificial Intelligence top 2%
- Neural Networks and Applications 3
- Health Informatics top 5%
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- IoT and Edge/Fog Computing 4
- Information Systems top 2%
- Digital and Cyber Forensics 5
- Spam and Phishing Detection 3
- User Authentication and Security Systems 3
- Blockchain Technology Applications and Security 3
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- Chaos-based Image/Signal Encryption 3
Humaira Arshad
21 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 192
- Signal Processing 271
- Artificial Intelligence 788
- Health Informatics 29
- Computer Networks and Communications 392
- Information Systems 361
Countries citing papers authored by Humaira Arshad
This map shows the geographic impact of Humaira Arshad'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 Humaira Arshad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Humaira Arshad more than expected).
Fields of papers citing papers by Humaira Arshad
This network shows the impact of papers produced by Humaira Arshad. 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 Humaira Arshad. The network helps show where Humaira Arshad may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Humaira Arshad, 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 | 2024 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 6 | |
| 4 | 2023 | 3 | |
| 5 | 2022 | 4 | |
| 6 | 2022 | 45 | |
| 7 | 2021 | 4 | |
| 8 | 2021 | 73 | |
| 9 | The internet of things security: A survey encompassing unexplored areas and new insightsbreakdown → | 2021 | 165 |
| 10 | 2020 | 14 | |
| 11 | 2020 | 15 | |
| 12 | 2020 | 16 | |
| 13 | 2019 | 1 | |
| 14 | 2019 | 18 | |
| 15 | 2019 | 27 | |
| 16 | Comprehensive Review of Artificial Neural Network Applications to Pattern Recognitionbreakdown → | 2019 | 456 |
| 17 | 2019 | 38 | |
| 18 | 2019 | 14 | |
| 19 | 2019 | 9 | |
| 20 | State-of-the-art in artificial neural network applications: A surveybreakdown → | 2018 | 2036 |
About Humaira Arshad
Humaira Arshad is a scholar working on Signal Processing, Information Systems and Computer Networks and Communications, having authored 23 papers that have together received 3.0k indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (9 papers), Digital and Cyber Forensics (5 papers), IoT and Edge/Fog Computing (4 papers), Spam and Phishing Detection (3 papers), Chaos-based Image/Signal Encryption (3 papers), Neural Networks and Applications (3 papers), User Authentication and Security Systems (3 papers) and Blockchain Technology Applications and Security (3 papers). The work is most often cited by research in Signal Processing (271 citations), Artificial Intelligence (788 citations) and Health Informatics (29 citations). Humaira Arshad has collaborated with scholars based in Pakistan, Malaysia and Nigeria. Frequent co-authors include Abiodun Esther Omolara, Oludare Isaac Abiodun, Nachaat Mohamed, Usman M. Gana, Muhammad Ubale Kiru, Moatsum Alawida, Aman Jantan, Wafa’ Hamdan Alshoura, Abdulatif Alabdulatif and Abdullah Alabdulatif. Their work appears in journals such as IEEE Access, Sensors and Computers & Security.
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.