Maaz Bin Ahmad
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 10%
- Information Systems top 5%
- Artificial Intelligence top 10%
- Signal Processing top 10%
- Co-authors
- Muhammad AsifToqeer MahmoodKhalid MasoodMuhammad Khalid KhanMuhammad Tariq MahmoodIk Hyun LeeMohammed A. Al GhamdiZeeshan Aziz
- Topics
- Network Security and Intrusion Detection (9 papers)Advanced Malware Detection Techniques (4 papers)Blockchain Technology Applications and Security (3 papers)
- Cited by
- Computer Vision and Pattern RecognitionSignal ProcessingComputer Networks and Communications
- Journals
- IEEE AccessSensorsRSC Advances
- Partner nations
- PakistanSaudi ArabiaSouth Korea
In The Last Decade
Maaz Bin Ahmad
39 papers receiving 461 citations
Peers
Comparison fields: 5 of 92
- Computer Vision and Pattern Recognition 150
- Computer Networks and Communications 132
- Information Systems 115
- Artificial Intelligence 97
- Signal Processing 74
Countries citing papers authored by Maaz Bin Ahmad
This map shows the geographic impact of Maaz Bin Ahmad'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 Maaz Bin Ahmad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maaz Bin Ahmad more than expected).
Fields of papers citing papers by Maaz Bin Ahmad
This network shows the impact of papers produced by Maaz Bin Ahmad. 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 Maaz Bin Ahmad. The network helps show where Maaz Bin Ahmad may publish in the future.
Co-authorship network of co-authors of Maaz Bin Ahmad
This figure shows the co-authorship network connecting the top 25 collaborators of Maaz Bin Ahmad. A scholar is included among the top collaborators of Maaz Bin Ahmad based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Maaz Bin Ahmad. Maaz Bin Ahmad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 23 | |
| 6 | 0 | |
| 7 | 18 | |
| 8 | 40 | |
| 9 | 2 | |
| 10 | 8 | |
| 11 | Video Summarization Techniques: A Review | 12 |
| 12 | 14 | |
| 13 | 3 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 21 | |
| 17 | 7 | |
| 18 | 2 | |
| 19 | 12 | |
| 20 | 1 |
About Maaz Bin Ahmad
Maaz Bin Ahmad is a scholar working on Signal Processing, Health Informatics and Computer Networks and Communications, having authored 42 papers that have together received 490 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (9 papers), Advanced Malware Detection Techniques (4 papers) and Blockchain Technology Applications and Security (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (150 citations), Signal Processing (74 citations) and Computer Networks and Communications (132 citations). Maaz Bin Ahmad has collaborated with scholars based in Pakistan, Saudi Arabia and South Korea. Frequent co-authors include Muhammad Asif, Toqeer Mahmood, Khalid Masood, Muhammad Khalid Khan, Muhammad Tariq Mahmood, Ik Hyun Lee, Mohammed A. Al Ghamdi, Zeeshan Aziz, Adnan Khalid and Sultan H. Almotiri. Their work appears in journals such as IEEE Access, Sensors and RSC Advances.
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.