Muhammad Zaigham Zaheer
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Signal Processing top 10%
- Co-authors
- Seung‐Ik LeeArif MahmoodMarcella AstridMuhammad Haris KhanFisher YuMattia SegùJin Ha LeeKarthik Nandakumar
- Topics
- Anomaly Detection Techniques and Applications (14 papers)Network Security and Intrusion Detection (11 papers)Artificial Immune Systems Applications (6 papers)
- Cited by
- Artificial IntelligenceComputer Networks and CommunicationsComputer Vision and Pattern Recognition
- Journals
- IEEE Transactions on Image ProcessingIEEE Transactions on Neural Networks and Learning SystemsNeurocomputing
- Partner nations
- United Arab EmiratesSouth KoreaPakistan
In The Last Decade
Muhammad Zaigham Zaheer
23 papers receiving 415 citations
Peers
Comparison fields: 5 of 48
- Artificial Intelligence 343
- Computer Networks and Communications 234
- Computer Vision and Pattern Recognition 194
- Biomedical Engineering 97
- Signal Processing 46
Countries citing papers authored by Muhammad Zaigham Zaheer
This map shows the geographic impact of Muhammad Zaigham Zaheer'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 Muhammad Zaigham Zaheer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Zaigham Zaheer more than expected).
Fields of papers citing papers by Muhammad Zaigham Zaheer
This network shows the impact of papers produced by Muhammad Zaigham Zaheer. 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 Muhammad Zaigham Zaheer. The network helps show where Muhammad Zaigham Zaheer may publish in the future.
Co-authorship network of co-authors of Muhammad Zaigham Zaheer
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Zaigham Zaheer. A scholar is included among the top collaborators of Muhammad Zaigham Zaheer 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 Muhammad Zaigham Zaheer. Muhammad Zaigham Zaheer 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 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 7 | |
| 7 | 10 | |
| 8 | 0 | |
| 9 | 11 | |
| 10 | 14 | |
| 11 | 14 | |
| 12 | 10 | |
| 13 | 2 | |
| 14 | 15 | |
| 15 | 25 | |
| 16 | 14 | |
| 17 | 131 | |
| 18 | 16 | |
| 19 | 1 | |
| 20 | Selective Dyna-style Planning Under Limited Model Capacity | 0 |
About Muhammad Zaigham Zaheer
Muhammad Zaigham Zaheer is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 31 papers that have together received 427 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (14 papers), Network Security and Intrusion Detection (11 papers) and Artificial Immune Systems Applications (6 papers). The work is most often cited by research in Artificial Intelligence (343 citations), Computer Networks and Communications (234 citations) and Computer Vision and Pattern Recognition (194 citations). Muhammad Zaigham Zaheer has collaborated with scholars based in United Arab Emirates, South Korea and Pakistan. Frequent co-authors include Seung‐Ik Lee, Arif Mahmood, Marcella Astrid, Muhammad Haris Khan, Fisher Yu, Mattia Segù, Jin Ha Lee, Karthik Nandakumar, Suzi Seroja Sarnin and Beom-Su Seo. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Neural Networks and Learning Systems and Neurocomputing.
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.