Mudassir Shabbir
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Statistical and Nonlinear Physics top 10%
- Molecular Biology
- Computer Vision and Pattern Recognition
- Co-authors
- Waseem AbbasSaeed‐Ul HassanXenofon KoutsoukosRaheel NawazFaisal KamiranUmar SaifNaif Radi AljohaniMohsen Ali
- Topics
- Complex Network Analysis Techniques (13 papers)Advanced Graph Neural Networks (10 papers)Distributed Control Multi-Agent Systems (10 papers)
- Cited by
- Statistical and Nonlinear PhysicsComputer Networks and CommunicationsArtificial Intelligence
- Partner nations
- PakistanUnited StatesUnited Kingdom
In The Last Decade
Mudassir Shabbir
32 papers receiving 217 citations
Peers
Comparison fields: 5 of 67
- Artificial Intelligence 94
- Computer Networks and Communications 72
- Statistical and Nonlinear Physics 45
- Molecular Biology 33
- Computer Vision and Pattern Recognition 26
Countries citing papers authored by Mudassir Shabbir
This map shows the geographic impact of Mudassir Shabbir'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 Mudassir Shabbir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mudassir Shabbir more than expected).
Fields of papers citing papers by Mudassir Shabbir
This network shows the impact of papers produced by Mudassir Shabbir. 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 Mudassir Shabbir. The network helps show where Mudassir Shabbir may publish in the future.
Co-authorship network of co-authors of Mudassir Shabbir
This figure shows the co-authorship network connecting the top 25 collaborators of Mudassir Shabbir. A scholar is included among the top collaborators of Mudassir Shabbir 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 Mudassir Shabbir. Mudassir Shabbir is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 5 | |
| 10 | 4 | |
| 11 | 0 | |
| 12 | 1 | |
| 13 | 10 | |
| 14 | 13 | |
| 15 | 10 | |
| 16 | 11 | |
| 17 | 5 | |
| 18 | Efficient Approximation Algorithms for Strings Kernel Based Sequence Classification | 12 |
| 19 | 1 | |
| 20 | 6 |
About Mudassir Shabbir
Mudassir Shabbir is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Computer Graphics and Computer-Aided Design, having authored 41 papers that have together received 225 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (13 papers), Advanced Graph Neural Networks (10 papers) and Distributed Control Multi-Agent Systems (10 papers). The work is most often cited by research in Statistical and Nonlinear Physics (45 citations), Computer Networks and Communications (72 citations) and Artificial Intelligence (94 citations). Mudassir Shabbir has collaborated with scholars based in Pakistan, United States and United Kingdom. Frequent co-authors include Waseem Abbas, Saeed‐Ul Hassan, Xenofon Koutsoukos, Raheel Nawaz, Faisal Kamiran, Umar Saif, Naif Radi Aljohani, Mohsen Ali, Muhammad Farhan and Timothy D. Bowman. Their work appears in journals such as IEEE Transactions on Automatic Control, Automatica and Computers in Human Behavior.
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.