Muhammad Altaf
- Electrical and Electronic Engineering
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Control and Systems Engineering top 10%
- Signal Processing top 10%
- Co-authors
- Tallha AkramM. GhanbariMartin FleuryNadia N. QadriSumair AzizMuhammad Umar KhanMajed AlhaisoniFarman Ali Khan
- Topics
- Mobile Ad Hoc Networks (6 papers)Cooperative Communication and Network Coding (4 papers)Vehicular Ad Hoc Networks (VANETs) (4 papers)
- Cited by
- Signal ProcessingComputer Vision and Pattern RecognitionComputer Networks and Communications
- Journals
- PLoS ONEIEEE AccessSensors
- Partner nations
- PakistanUnited KingdomSaudi Arabia
In The Last Decade
Muhammad Altaf
19 papers receiving 406 citations
Peers
Comparison fields: 5 of 66
- Electrical and Electronic Engineering 128
- Computer Networks and Communications 111
- Computer Vision and Pattern Recognition 100
- Control and Systems Engineering 99
- Signal Processing 68
Countries citing papers authored by Muhammad Altaf
This map shows the geographic impact of Muhammad Altaf'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 Altaf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Altaf more than expected).
Fields of papers citing papers by Muhammad Altaf
This network shows the impact of papers produced by Muhammad Altaf. 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 Altaf. The network helps show where Muhammad Altaf may publish in the future.
Co-authorship network of co-authors of Muhammad Altaf
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Altaf. A scholar is included among the top collaborators of Muhammad Altaf 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 Altaf. Muhammad Altaf 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 | 8 | |
| 4 | 10 | |
| 5 | 21 | |
| 6 | 101 | |
| 7 | 13 | |
| 8 | 28 | |
| 9 | 4 | |
| 10 | 88 | |
| 11 | 26 | |
| 12 | 4 | |
| 13 | 2 | |
| 14 | 22 | |
| 15 | 38 | |
| 16 | 5 | |
| 17 | 2 | |
| 18 | 8 | |
| 19 | 23 | |
| 20 | 20 |
About Muhammad Altaf
Muhammad Altaf is a scholar working on Computer Networks and Communications, Signal Processing and Computer Vision and Pattern Recognition, having authored 20 papers that have together received 424 indexed citations. Recurring topics across this work include Mobile Ad Hoc Networks (6 papers), Cooperative Communication and Network Coding (4 papers) and Vehicular Ad Hoc Networks (VANETs) (4 papers). The work is most often cited by research in Signal Processing (68 citations), Computer Vision and Pattern Recognition (100 citations) and Computer Networks and Communications (111 citations). Muhammad Altaf has collaborated with scholars based in Pakistan, United Kingdom and Saudi Arabia. Frequent co-authors include Tallha Akram, M. Ghanbari, Martin Fleury, Nadia N. Qadri, Sumair Aziz, Muhammad Umar Khan, Majed Alhaisoni, Farman Ali Khan, M. Iqbal and Ching‐Hsien Hsu. 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.