Nauman Shahid
- Computational Mathematics top 10%
- Tensor decomposition and applications 2
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- Network Security and Intrusion Detection 5
- Artificial Intelligence top 5%
- Anomaly Detection Techniques and Applications 8
- Control and Systems Engineering top 10%
- Signal Processing top 10%
- Blind Source Separation Techniques 2
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- Sparse and Compressive Sensing Techniques 7
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- Water Systems and Optimization 5
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- Face and Expression Recognition 3
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- Medical Imaging Techniques and Applications 2
- Co-authors
- Ijaz Haider NaqviSaad QaisarPierre VandergheynstVassilis KalofoliasNathanaël PerraudinGilles PuyMichael M. BronsteinXavier Bresson
- Journals
- Artificial Intelligence Review (2 papers)IEEE Transactions on Signal and Information Processing over Networks (1 paper)IEEE Journal of Selected Topics in Signal Processing (1 paper)
- Partner nations
- PakistanSwitzerlandJapan
In The Last Decade
Nauman Shahid
20 papers receiving 499 citations
Peers
Comparison fields: 5 of 71
- Computational Mathematics 17
- Computer Networks and Communications 169
- Artificial Intelligence 213
- Control and Systems Engineering 110
- Signal Processing 48
Countries citing papers authored by Nauman Shahid
This map shows the geographic impact of Nauman Shahid'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 Nauman Shahid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nauman Shahid more than expected).
Fields of papers citing papers by Nauman Shahid
This network shows the impact of papers produced by Nauman Shahid. 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 Nauman Shahid. The network helps show where Nauman Shahid may publish in the future.
Co-authorship network
The 23 scholars most cited alongside Nauman Shahid, 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 | 2024 | 0 | |
| 2 | 2019 | 7 | |
| 3 | 2019 | 3 | |
| 4 | 2018 | 29 | |
| 5 | 2017 | 1 | |
| 6 | 2016 | 3 | |
| 7 | 2016 | 3 | |
| 8 | 2016 | 5 | |
| 9 | 2016 | 68 | |
| 10 | 2015 | 67 | |
| 11 | 2014 | 61 | |
| 12 | 2014 | 0 | |
| 13 | 2013 | 5 | |
| 14 | 2013 | 50 | |
| 15 | 2012 | 52 | |
| 16 | 2012 | 12 | |
| 17 | 2012 | 1 | |
| 18 | 2012 | 73 | |
| 19 | 2012 | 28 | |
| 20 | 2011 | 10 |
About Nauman Shahid
Nauman Shahid is a scholar working on Computational Mathematics, Acoustics and Ultrasonics, Computer Networks and Communications, Computational Mechanics and Artificial Intelligence, having authored 22 papers that have together received 517 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (8 papers), Sparse and Compressive Sensing Techniques (7 papers), Water Systems and Optimization (5 papers), Network Security and Intrusion Detection (5 papers), Face and Expression Recognition (3 papers), Medical Imaging Techniques and Applications (2 papers), Blind Source Separation Techniques (2 papers) and Tensor decomposition and applications (2 papers). The work is most often cited by research in Computational Mathematics (17 citations), Computer Networks and Communications (169 citations), Artificial Intelligence (213 citations), Control and Systems Engineering (110 citations) and Signal Processing (48 citations). Nauman Shahid has collaborated with scholars based in Pakistan, Switzerland and Japan. Frequent co-authors include Ijaz Haider Naqvi, Saad Qaisar, Pierre Vandergheynst, Vassilis Kalofolias, Nathanaël Perraudin, Gilles Puy, Michael M. Bronstein, Xavier Bresson, Nauman Ahmad Zaffar and Faisal Mahmood. Their work appears in journals such as Artificial Intelligence Review, IEEE Transactions on Signal and Information Processing over Networks, IEEE Journal of Selected Topics in Signal Processing, Physical and Engineering Sciences in Medicine and Energy Systems.
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.