Muhammad Gufran Khan
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- Advanced Neural Network Applications 3
- Handwritten Text Recognition Techniques 2
- Media Technology top 10%
- Vehicle License Plate Recognition 2
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- Antenna Design and Analysis 5
- Ocean Engineering top 10%
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- Ultra-Wideband Communications Technology 7
- Millimeter-Wave Propagation and Modeling 2
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- Microwave Imaging and Scattering Analysis 3
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- Online Learning and Analytics 2
Muhammad Gufran Khan
16 papers receiving 365 citations
Peers
Comparison fields: 5 of 67
- Computer Vision and Pattern Recognition 119
- Industrial and Manufacturing Engineering 45
- Media Technology 34
- Aerospace Engineering 87
- Ocean Engineering 54
Countries citing papers authored by Muhammad Gufran Khan
This map shows the geographic impact of Muhammad Gufran Khan'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 Gufran Khan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Gufran Khan more than expected).
Fields of papers citing papers by Muhammad Gufran Khan
This network shows the impact of papers produced by Muhammad Gufran Khan. 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 Gufran Khan. The network helps show where Muhammad Gufran Khan may publish in the future.
Co-authorship network
The 8 scholars most cited alongside Muhammad Gufran Khan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 38 | |
| 2 | 2022 | 28 | |
| 3 | 2022 | 14 | |
| 4 | 2021 | 114 | |
| 5 | 2021 | 21 | |
| 6 | 2021 | 2 | |
| 7 | An Improved Acoustic Scene Classification Method Using Convolutional Neural Networks (CNNs) | 2018 | 2 |
| 8 | 2018 | 13 | |
| 9 | 2017 | 132 | |
| 10 | 2016 | 3 | |
| 11 | Non-coherent detection of impulse radio UWB signals based on fourth order statistics | 2011 | 2 |
| 12 | 2011 | 3 | |
| 13 | On Coherent and Non-coherent Receiver Structures for Impulse Radio UWB Systems | 2009 | 4 |
| 14 | 2009 | 11 | |
| 15 | 2008 | 2 | |
| 16 | Performance Evaluation of RAKE Receiver for Low Data Rate UWB Systems using Multipath Channels for Industrial Environments | 2008 | 2 |
About Muhammad Gufran Khan
Muhammad Gufran Khan is a scholar working on Computer Science Applications, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 16 papers that have together received 391 indexed citations. Recurring topics across this work include Ultra-Wideband Communications Technology (7 papers), Antenna Design and Analysis (5 papers), Microwave Imaging and Scattering Analysis (3 papers), Advanced Neural Network Applications (3 papers), Online Learning and Analytics (2 papers), Handwritten Text Recognition Techniques (2 papers), Vehicle License Plate Recognition (2 papers) and Millimeter-Wave Propagation and Modeling (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (119 citations), Industrial and Manufacturing Engineering (45 citations) and Media Technology (34 citations). Muhammad Gufran Khan has collaborated with scholars based in Pakistan, Sweden and Austria. Frequent co-authors include Benny Sällberg, Uzair Khaleeq uz Zaman, Muhammad Shahid, Jörgen Nordberg, Ingvar Claesson, Benny Lövström, Khalid Hussain and Fredrik Tufvesson. Their work appears in journals such as IEEE Access, Applied Sciences and Complexity.
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.