Sunil K. Narang
Impact in
- Statistical and Nonlinear Physics top 0.5%
- Complex Network Analysis Techniques
- Artificial Intelligence top 0.5%
- Advanced Graph Neural Networks
- Bayesian Modeling and Causal Inference
Papers in
-
- Advanced Data Compression Techniques 6
- Image and Signal Denoising Methods 5
- Image Enhancement Techniques 3
-
- Advanced Graph Neural Networks 8
- Co-authors
- Antonio Ortega (20 shared papers)Pascal Frossard (2 shared papers)Pierre Vandergheynst (2 shared papers)David I Shuman (2 shared papers)Akshay Gadde (3 shared papers)Nasra N. Alam (11 shared papers)Neil Smart (11 shared papers)I. R. Daniels (11 shared papers)
- Journals
- Hernia (2 papers)Colorectal Disease (2 papers)IEEE Transactions on Signal Processing (2 papers)IEEE Signal Processing Magazine (1 paper)BMC Surgery (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Sunil K. Narang
34 papers receiving 4.1k citations
Sunil K. Narang's Hit Papers
Peers
Comparison fields: 5 of 138
- Statistical and Nonlinear Physics 1.2k
- Artificial Intelligence 2.2k
- Computational Mathematics 40
- Computer Vision and Pattern Recognition 1.1k
- Signal Processing 288
Countries citing papers authored by Sunil K. Narang
This map shows the geographic impact of Sunil K. Narang'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 Sunil K. Narang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunil K. Narang more than expected).
Fields of papers citing papers by Sunil K. Narang
This network shows the impact of papers produced by Sunil K. Narang. 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 Sunil K. Narang. The network helps show where Sunil K. Narang may publish in the future.
Co-authors
The 22 scholars most cited alongside Sunil K. Narang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains Hit paper breakdown → | 2013 | 2728 |
| 2 | 2012 | 281 | |
| 3 | 2013 | 160 | |
| 4 | 2013 | 147 | |
| 5 | 2010 | 123 | |
| 6 | 2013 | 72 | |
| 7 | Lifting Based Wavelet Transforms on Graphs | 2009 | 64 |
| 8 | 2016 | 59 | |
| 9 | 2016 | 49 | |
| 10 | 2013 | 47 | |
| 11 | 2016 | 44 | |
| 12 | 2012 | 33 | |
| 13 | 2012 | 30 | |
| 14 | 2010 | 30 | |
| 15 | 2015 | 27 | |
| 16 | 2011 | 27 | |
| 17 | 2010 | 26 | |
| 18 | 2015 | 21 | |
| 19 | 2016 | 20 | |
| 20 | 2006 | 20 |
About Sunil K. Narang
Sunil K. Narang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Surgery, Statistical and Nonlinear Physics and Computer Networks and Communications, having authored 34 papers that have together received 4.2k indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (8 papers), Advanced Data Compression Techniques (6 papers), Complex Network Analysis Techniques (6 papers), Image and Signal Denoising Methods (5 papers), Image Enhancement Techniques (3 papers), Hernia repair and management (3 papers), Sparse and Compressive Sensing Techniques (3 papers) and Pelvic floor disorders treatments (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.2k citations), Artificial Intelligence (2.2k citations), Computational Mathematics (40 citations), Computer Vision and Pattern Recognition (1.1k citations) and Signal Processing (288 citations). Sunil K. Narang has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Antonio Ortega, Pascal Frossard, Pierre Vandergheynst, David I Shuman, Akshay Gadde, Nasra N. Alam, Neil Smart, I. R. Daniels, Samir Pathak and Ferdinand Köckerling. Their work appears in journals such as Hernia, Colorectal Disease, IEEE Transactions on Signal Processing, IEEE Signal Processing Magazine and BMC Surgery.
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.