G. Harikumar
Impact in
- Signal Processing top 5%
- Digital Filter Design and Implementation
-
- Advanced Image Processing Techniques
- Image and Signal Denoising Methods
Papers in
-
- Data Visualization and Analytics 5
- Advanced Image Processing Techniques 5
- Image and Signal Denoising Methods 3
-
- Computer Graphics and Visualization Techniques 4
- Journals
- IEEE Transactions on Image Processing (3 papers)IEEE Transactions on Signal Processing (2 papers)2018 52nd Asilomar Conference on Signals, Systems, and Computers (1 paper)IEEE International Conference on Acoustics Speech and Signal Processing (2 papers)Proceedings - International Conference on Image Processing (2 papers)
- Partner nations
- United States
In The Last Decade
G. Harikumar
12 papers receiving 311 citations
Peers
Comparison fields: 5 of 26
- Signal Processing 63
- Computer Vision and Pattern Recognition 156
- Computational Mechanics 80
- Media Technology 25
- Computer Graphics and Computer-Aided Design 7
Countries citing papers authored by G. Harikumar
This map shows the geographic impact of G. Harikumar'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 G. Harikumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Harikumar more than expected).
Fields of papers citing papers by G. Harikumar
This network shows the impact of papers produced by G. Harikumar. 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 G. Harikumar. The network helps show where G. Harikumar may publish in the future.
Co-authors
The 2 scholars most cited alongside G. Harikumar, 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 | 1999 | 126 | |
| 2 | 1998 | 55 | |
| 3 | 1999 | 47 | |
| 4 | 2002 | 36 | |
| 5 | 2002 | 16 | |
| 6 | 1996 | 13 | |
| 7 | 2002 | 12 | |
| 8 | 2002 | 12 | |
| 9 | 1992 | 10 | |
| 10 | 1993 | 4 | |
| 11 | 1994 | 1 | |
| 12 | Optimum sparse approximations: A new class of algorithms | 1998 | 1 |
| 13 | 2002 | 0 | |
| 14 | 2002 | 0 |
About G. Harikumar
G. Harikumar is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Signal Processing, Media Technology and Computational Mechanics, having authored 14 papers that have together received 333 indexed citations. Recurring topics across this work include Data Visualization and Analytics (5 papers), Advanced Image Processing Techniques (5 papers), Computer Graphics and Visualization Techniques (4 papers), Advanced Image Fusion Techniques (3 papers), Blind Source Separation Techniques (3 papers), Image and Signal Denoising Methods (3 papers), Sparse and Compressive Sensing Techniques (3 papers) and Mathematical Analysis and Transform Methods (1 paper). The work is most often cited by research in Signal Processing (63 citations), Computer Vision and Pattern Recognition (156 citations), Computational Mechanics (80 citations), Media Technology (25 citations) and Computer Graphics and Computer-Aided Design (7 citations). G. Harikumar has collaborated with scholars based in United States. Frequent co-authors include Yoram Bresler and Christophe Couvreur. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Signal Processing, 2018 52nd Asilomar Conference on Signals, Systems, and Computers, IEEE International Conference on Acoustics Speech and Signal Processing and Proceedings - International Conference on Image Processing.
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.