Muhammad Muzzamil Luqman
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Signal Processing top 10%
- Media Technology top 10%
- Information Systems
- Co-authors
- Mickaël CoustatyJean-Christophe BurieZuheng MingMalik Muhammad Saad MissenMuriel VisaniJean-Marc OgierThierry BrouardJean-Yves Ramel
- Topics
- Advanced Image and Video Retrieval Techniques (9 papers)Graph Theory and Algorithms (8 papers)Handwritten Text Recognition Techniques (8 papers)
In The Last Decade
Muhammad Muzzamil Luqman
39 papers receiving 387 citations
Peers
Comparison fields: 5 of 113
- Computer Vision and Pattern Recognition 206
- Artificial Intelligence 88
- Signal Processing 58
- Media Technology 44
- Information Systems 34
Countries citing papers authored by Muhammad Muzzamil Luqman
This map shows the geographic impact of Muhammad Muzzamil Luqman'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 Muzzamil Luqman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Muzzamil Luqman more than expected).
Fields of papers citing papers by Muhammad Muzzamil Luqman
This network shows the impact of papers produced by Muhammad Muzzamil Luqman. 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 Muzzamil Luqman. The network helps show where Muhammad Muzzamil Luqman may publish in the future.
Co-authorship network of co-authors of Muhammad Muzzamil Luqman
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Muzzamil Luqman. A scholar is included among the top collaborators of Muhammad Muzzamil Luqman 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 Muzzamil Luqman. Muhammad Muzzamil Luqman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 0 | |
| 4 | 24 | |
| 5 | 9 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 14 | |
| 9 | Practices of General Public Towards Personal Protective Measures During the Coronavirus Pandemic | 1 |
| 10 | 8 | |
| 11 | 25 | |
| 12 | 37 | |
| 13 | An Exploration of Information Communication technology (ICTs) in Agricultural Development: The experiences of rural Punjab-Pakistan | 2 |
| 14 | MODE OF ICTs APPLICATIONS IN PLANT PRODUCTION AND PROTECTION TECHNOLOGY IN RURAL PUNJAB-PAKISTAN | 2 |
| 15 | 1 | |
| 16 | 14 | |
| 17 | 54 | |
| 18 | Subgraph Spotting through Explicit Graph Embedding: An Application to Content Spotting in Graphic Document Images | 2 |
| 19 | A Content Spotting System For Line Drawing Graphic Document Images | 1 |
| 20 | 21 |
About Muhammad Muzzamil Luqman
Muhammad Muzzamil Luqman is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology, having authored 41 papers that have together received 413 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (9 papers), Graph Theory and Algorithms (8 papers) and Handwritten Text Recognition Techniques (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (206 citations), Signal Processing (58 citations) and Media Technology (44 citations). Muhammad Muzzamil Luqman has collaborated with scholars based in France, Pakistan and China. Frequent co-authors include Mickaël Coustaty, Jean-Christophe Burie, Zuheng Ming, Malik Muhammad Saad Missen, Muriel Visani, Jean-Marc Ogier, Thierry Brouard, Jean-Yves Ramel, Mujtaba Husnain and Shahzad Mumtaz. Their work appears in journals such as IEEE Access, Pattern Recognition and Pattern Recognition Letters.
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.