Raheeb Muzaffar
- Aerospace Engineering top 1%
- Computer Networks and Communications top 2%
- Electrical and Electronic Engineering top 10%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Co-authors
- Samira HayatEvşen YanmazChristian BettstetterHans-Peter BernhardAymen FakhreddineIñaki ValÓscar SeijoAndrea Cavallaro
- Topics
- Wireless Body Area Networks (5 papers)UAV Applications and Optimization (5 papers)Mobile Ad Hoc Networks (5 papers)
- Cited by
- Aerospace EngineeringComputer Networks and CommunicationsComputer Vision and Pattern Recognition
- Partner nations
- AustriaUnited KingdomHungary
In The Last Decade
Raheeb Muzaffar
12 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 51
- Aerospace Engineering 973
- Computer Networks and Communications 644
- Electrical and Electronic Engineering 565
- Computer Vision and Pattern Recognition 208
- Artificial Intelligence 41
Countries citing papers authored by Raheeb Muzaffar
This map shows the geographic impact of Raheeb Muzaffar'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 Raheeb Muzaffar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raheeb Muzaffar more than expected).
Fields of papers citing papers by Raheeb Muzaffar
This network shows the impact of papers produced by Raheeb Muzaffar. 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 Raheeb Muzaffar. The network helps show where Raheeb Muzaffar may publish in the future.
Co-authorship network of co-authors of Raheeb Muzaffar
This figure shows the co-authorship network connecting the top 25 collaborators of Raheeb Muzaffar. A scholar is included among the top collaborators of Raheeb Muzaffar 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 Raheeb Muzaffar. Raheeb Muzaffar 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 | 0 | |
| 3 | 31 | |
| 4 | 19 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 52 | |
| 9 | 18 | |
| 10 | 31 | |
| 11 | 47 | |
| 12 | 3 | |
| 13 | Survey on Unmanned Aerial Vehicle Networks for Civil Applications: A Communications Viewpointbreakdown → | 995 |
| 14 | 4 | |
| 15 | 2 |
About Raheeb Muzaffar
Raheeb Muzaffar is a scholar working on Computer Networks and Communications, Aerospace Engineering and Control and Systems Engineering, having authored 15 papers that have together received 1.2k indexed citations. Recurring topics across this work include Wireless Body Area Networks (5 papers), UAV Applications and Optimization (5 papers) and Mobile Ad Hoc Networks (5 papers). The work is most often cited by research in Aerospace Engineering (973 citations), Computer Networks and Communications (644 citations) and Computer Vision and Pattern Recognition (208 citations). Raheeb Muzaffar has collaborated with scholars based in Austria, United Kingdom and Hungary. Frequent co-authors include Samira Hayat, Evşen Yanmaz, Christian Bettstetter, Hans-Peter Bernhard, Aymen Fakhreddine, Iñaki Val, Óscar Seijo, Andrea Cavallaro, Thilo Sauter and Emiliano Sisinni. Their work appears in journals such as IEEE Communications Surveys & Tutorials, IEEE Access and Autonomous Robots.
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.