Ghufran Baig
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Electrical and Electronic Engineering
- Signal Processing top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- Lili QiuFahad R. DogarAlex X. LiuAli MunirIhsan Ayyub QaziSwadhin PradhanWei SunGuohai Chen
- Topics
- Power Line Communications and Noise (3 papers)Image and Video Quality Assessment (3 papers)Cloud Computing and Resource Management (3 papers)
- Journals
- IEEE/ACM Transactions on NetworkingACM SIGCOMM Computer Communication ReviewProceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
- Partner nations
- United StatesUnited KingdomPakistan
In The Last Decade
Ghufran Baig
15 papers receiving 323 citations
Peers
Comparison fields: 5 of 42
- Computer Networks and Communications 194
- Information Systems 151
- Electrical and Electronic Engineering 98
- Signal Processing 93
- Computer Vision and Pattern Recognition 56
Countries citing papers authored by Ghufran Baig
This map shows the geographic impact of Ghufran 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 Ghufran Baig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ghufran Baig more than expected).
Fields of papers citing papers by Ghufran Baig
This network shows the impact of papers produced by Ghufran 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 Ghufran Baig. The network helps show where Ghufran Baig may publish in the future.
Co-authorship network of co-authors of Ghufran Baig
This figure shows the co-authorship network connecting the top 25 collaborators of Ghufran Baig. A scholar is included among the top collaborators of Ghufran 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 Ghufran Baig. Ghufran 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 | 1 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 31 | |
| 7 | 28 | |
| 8 | 53 | |
| 9 | 54 | |
| 10 | 1 | |
| 11 | 7 | |
| 12 | 6 | |
| 13 | 29 | |
| 14 | 108 | |
| 15 | 1 |
About Ghufran Baig
Ghufran Baig is a scholar working on Computer Networks and Communications, Signal Processing and Media Technology, having authored 15 papers that have together received 330 indexed citations. Recurring topics across this work include Power Line Communications and Noise (3 papers), Image and Video Quality Assessment (3 papers) and Cloud Computing and Resource Management (3 papers). The work is most often cited by research in Signal Processing (93 citations), Computer Networks and Communications (194 citations) and Information Systems (151 citations). Ghufran Baig has collaborated with scholars based in United States, United Kingdom and Pakistan. Frequent co-authors include Lili Qiu, Fahad R. Dogar, Alex X. Liu, Ali Munir, Ihsan Ayyub Qazi, Swadhin Pradhan, Wei Sun, Guohai Chen, Wenguang Mao and Yuanjie Li. Their work appears in journals such as IEEE/ACM Transactions on Networking, ACM SIGCOMM Computer Communication Review and Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies.
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.