Muhammad Shafiq
- Electrical and Electronic Engineering top 5%
- Computer Networks and Communications top 2%
- Information Systems top 1%
- Artificial Intelligence top 2%
- Control and Systems Engineering top 5%
- Co-authors
- Nadeem JavaidJin‐Ghoo ChoiAteeq Ur RehmanHabib HamamAzeem IrshadRabiya KhalidMuhammad Khalil AfzalFahad Ahmed Al-Zahrani
- Topics
- IoT and Edge/Fog Computing (10 papers)Advanced Authentication Protocols Security (9 papers)User Authentication and Security Systems (8 papers)
- Cited by
- Information SystemsComputer Networks and CommunicationsElectrical and Electronic Engineering
- Journals
- PLoS ONEIEEE AccessSensors
- Partner nations
- South KoreaPakistanSaudi Arabia
In The Last Decade
Muhammad Shafiq
108 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 155
- Electrical and Electronic Engineering 1.0k
- Computer Networks and Communications 667
- Information Systems 657
- Artificial Intelligence 553
- Control and Systems Engineering 379
Countries citing papers authored by Muhammad Shafiq
This map shows the geographic impact of Muhammad Shafiq'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 Shafiq with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Shafiq more than expected).
Fields of papers citing papers by Muhammad Shafiq
This network shows the impact of papers produced by Muhammad Shafiq. 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 Shafiq. The network helps show where Muhammad Shafiq may publish in the future.
Co-authorship network of co-authors of Muhammad Shafiq
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Shafiq. A scholar is included among the top collaborators of Muhammad Shafiq 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 Shafiq. Muhammad Shafiq 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 | 7 | |
| 4 | 4 | |
| 5 | 8 | |
| 6 | 65 | |
| 7 | 25 | |
| 8 | 11 | |
| 9 | 21 | |
| 10 | 16 | |
| 11 | 7 | |
| 12 | 51 | |
| 13 | 4 | |
| 14 | 12 | |
| 15 | 13 | |
| 16 | 7 | |
| 17 | 4 | |
| 18 | 4 | |
| 19 | MSMA/CA: Multiple Access Control Protocol for Cognitive Radio-Based IoT Networks | 4 |
| 20 | Mobile IP Issues and Their Potential Solutions: An Overview | 2 |
About Muhammad Shafiq
Muhammad Shafiq is a scholar working on Computer Networks and Communications, Information Systems and Control and Systems Engineering, having authored 113 papers that have together received 2.5k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (10 papers), Advanced Authentication Protocols Security (9 papers) and User Authentication and Security Systems (8 papers). The work is most often cited by research in Information Systems (657 citations), Computer Networks and Communications (667 citations) and Electrical and Electronic Engineering (1.0k citations). Muhammad Shafiq has collaborated with scholars based in South Korea, Pakistan and Saudi Arabia. Frequent co-authors include Nadeem Javaid, Jin‐Ghoo Choi, Ateeq Ur Rehman, Habib Hamam, Azeem Irshad, Rabiya Khalid, Muhammad Khalil Afzal, Fahad Ahmed Al-Zahrani, Sayed M. Eldin and Salman Naseer. Their work appears in journals such as PLoS ONE, IEEE Access and Sensors.
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.