Muhammad Faran Majeed
- Computer Networks and Communications top 5%
- Information Systems top 10%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Co-authors
- Syed Hassan AhmedMatthew N. DaileySikandar AliMuhammad Faisal AbrarHoubing SongAmjad MehmoodDanda B. RawatXin Huang
- Topics
- Caching and Content Delivery (8 papers)Opportunistic and Delay-Tolerant Networks (6 papers)Software Engineering Research (4 papers)
- Journals
- IEEE AccessSensorsSustainability
- Partner nations
- PakistanSouth KoreaChina
In The Last Decade
Muhammad Faran Majeed
27 papers receiving 411 citations
Peers
Comparison fields: 5 of 71
- Computer Networks and Communications 265
- Information Systems 99
- Electrical and Electronic Engineering 71
- Artificial Intelligence 58
- Computer Vision and Pattern Recognition 45
Countries citing papers authored by Muhammad Faran Majeed
This map shows the geographic impact of Muhammad Faran Majeed'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 Faran Majeed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Faran Majeed more than expected).
Fields of papers citing papers by Muhammad Faran Majeed
This network shows the impact of papers produced by Muhammad Faran Majeed. 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 Faran Majeed. The network helps show where Muhammad Faran Majeed may publish in the future.
Co-authorship network of co-authors of Muhammad Faran Majeed
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Faran Majeed. A scholar is included among the top collaborators of Muhammad Faran Majeed 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 Faran Majeed. Muhammad Faran Majeed is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 30 | |
| 3 | 10 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 12 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 8 | |
| 11 | 10 | |
| 12 | 34 | |
| 13 | 1 | |
| 14 | 7 | |
| 15 | 42 | |
| 16 | 20 | |
| 17 | 17 | |
| 18 | 22 | |
| 19 | 8 | |
| 20 | 75 |
About Muhammad Faran Majeed
Muhammad Faran Majeed is a scholar working on Computer Networks and Communications, Information Systems and Information Systems and Management, having authored 28 papers that have together received 431 indexed citations. Recurring topics across this work include Caching and Content Delivery (8 papers), Opportunistic and Delay-Tolerant Networks (6 papers) and Software Engineering Research (4 papers). The work is most often cited by research in Computer Networks and Communications (265 citations), Management Information Systems (42 citations) and Information Systems (99 citations). Muhammad Faran Majeed has collaborated with scholars based in Pakistan, South Korea and China. Frequent co-authors include Syed Hassan Ahmed, Matthew N. Dailey, Sikandar Ali, Muhammad Faisal Abrar, Houbing Song, Amjad Mehmood, Danda B. Rawat, Xin Huang, Shafiq Hussain and Sobia Arshad. Their work appears in journals such as IEEE Access, Sensors and Sustainability.
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.