Muhammad Iram Baig
- Electrical and Electronic Engineering
- Aerospace Engineering top 10%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Biomedical Engineering
- Co-authors
- Usman MasudMuhammad Haroon YousafTrung Q. DuongLong D. NguyenZeeshan KaleemOmer ChughtaiFaraz AkramNaveed Khan Baloch
- Topics
- Semiconductor Lasers and Optical Devices (4 papers)Image and Signal Denoising Methods (3 papers)Gas Sensing Nanomaterials and Sensors (2 papers)
- Cited by
- Aerospace EngineeringComputer Networks and CommunicationsComputer Vision and Pattern Recognition
- Partner nations
- PakistanGermanySouth Korea
In The Last Decade
Muhammad Iram Baig
20 papers receiving 283 citations
Peers
Comparison fields: 5 of 50
- Electrical and Electronic Engineering 122
- Aerospace Engineering 119
- Computer Networks and Communications 87
- Computer Vision and Pattern Recognition 72
- Biomedical Engineering 35
Countries citing papers authored by Muhammad Iram Baig
This map shows the geographic impact of Muhammad Iram Baig'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 Iram Baig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Iram Baig more than expected).
Fields of papers citing papers by Muhammad Iram Baig
This network shows the impact of papers produced by Muhammad Iram Baig. 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 Iram Baig. The network helps show where Muhammad Iram Baig may publish in the future.
Co-authorship network of co-authors of Muhammad Iram Baig
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Iram Baig. A scholar is included among the top collaborators of Muhammad Iram Baig 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 Iram Baig. Muhammad Iram Baig is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 4 | |
| 3 | 12 | |
| 4 | 13 | |
| 5 | 11 | |
| 6 | 81 | |
| 7 | 9 | |
| 8 | 5 | |
| 9 | 11 | |
| 10 | 19 | |
| 11 | 10 | |
| 12 | 50 | |
| 13 | 5 | |
| 14 | 4 | |
| 15 | 3 | |
| 16 | Algorithm for Efficient Attendance Management: Face Recognition based approach | 59 |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | 2 |
About Muhammad Iram Baig
Muhammad Iram Baig is a scholar working on Hardware and Architecture, Signal Processing and Computer Networks and Communications, having authored 20 papers that have together received 307 indexed citations. Recurring topics across this work include Semiconductor Lasers and Optical Devices (4 papers), Image and Signal Denoising Methods (3 papers) and Gas Sensing Nanomaterials and Sensors (2 papers). The work is most often cited by research in Aerospace Engineering (119 citations), Computer Networks and Communications (87 citations) and Computer Vision and Pattern Recognition (72 citations). Muhammad Iram Baig has collaborated with scholars based in Pakistan, Germany and South Korea. Frequent co-authors include Usman Masud, Muhammad Haroon Yousaf, Trung Q. Duong, Long D. Nguyen, Zeeshan Kaleem, Omer Chughtai, Faraz Akram, Naveed Khan Baloch, Tae‐Seong Kim and A. Zeeshan. Their work appears in journals such as IEEE Access, IEEE Sensors Journal and Electronics.
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.