Shruthi Narayan
Impact in
- Signal Processing top 2%
- Speech and Audio Processing
- Blind Source Separation Techniques
- Digital Filter Design and Implementation
- Direction-of-Arrival Estimation Techniques
- Computational Mechanics top 5%
- Advanced Adaptive Filtering Techniques
Papers in
-
- Digital Filter Design and Implementation 2
- Blind Source Separation Techniques 2
- Speech and Audio Processing 2
-
- Blood transfusion and management 5
- Co-authors
- A. Peterson (5 shared papers)M. Narasimha (1 shared paper)Paula Bolton‐Maggs (1 shared paper)Craig J. Taylor (2 shared papers)Toby Richards (2 shared papers)Jahnavi Daru (1 shared paper)John A. Liu Yin (2 shared papers)Alwyn Kotzé (2 shared papers)
- Journals
- Transfusion (2 papers)British Journal of Haematology (2 papers)Vox Sanguinis (1 paper)Proceedings of the IEEE (1 paper)Transfusion Clinique et Biologique (1 paper)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Shruthi Narayan
11 papers receiving 406 citations
Peers
Comparison fields: 5 of 50
- Signal Processing 334
- Computational Mechanics 347
- Computer Vision and Pattern Recognition 128
- Biochemistry 13
- Control and Systems Engineering 29
Countries citing papers authored by Shruthi Narayan
This map shows the geographic impact of Shruthi Narayan'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 Shruthi Narayan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shruthi Narayan more than expected).
Fields of papers citing papers by Shruthi Narayan
This network shows the impact of papers produced by Shruthi Narayan. 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 Shruthi Narayan. The network helps show where Shruthi Narayan may publish in the future.
Co-authors
The 22 scholars most cited alongside Shruthi Narayan, 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 | 1983 | 330 | |
| 2 | 1981 | 63 | |
| 3 | 1983 | 12 | |
| 4 | 2020 | 9 | |
| 5 | 2024 | 8 | |
| 6 | 2011 | 4 | |
| 7 | 2023 | 3 | |
| 8 | 2021 | 3 | |
| 9 | 2012 | 1 | |
| 10 | 2024 | 1 | |
| 11 | 2005 | 1 | |
| 12 | 2023 | 0 | |
| 13 | 2005 | 0 | |
| 14 | 2005 | 0 |
About Shruthi Narayan
Shruthi Narayan is a scholar working on Signal Processing, Biochemistry, Computer Vision and Pattern Recognition, Computational Mechanics and Oncology, having authored 14 papers that have together received 435 indexed citations. Recurring topics across this work include Blood transfusion and management (5 papers), Advanced Adaptive Filtering Techniques (3 papers), Digital Filter Design and Implementation (2 papers), Image and Signal Denoising Methods (2 papers), Blind Source Separation Techniques (2 papers), Blood disorders and treatments (2 papers), Neutropenia and Cancer Infections (2 papers) and Speech and Audio Processing (2 papers). The work is most often cited by research in Signal Processing (334 citations), Computational Mechanics (347 citations), Computer Vision and Pattern Recognition (128 citations), Biochemistry (13 citations) and Control and Systems Engineering (29 citations). Shruthi Narayan has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include A. Peterson, M. Narasimha, Paula Bolton‐Maggs, Craig J. Taylor, Toby Richards, Jahnavi Daru, John A. Liu Yin, Alwyn Kotzé, Alan C. Wilson and John P. Burg. Their work appears in journals such as Transfusion, British Journal of Haematology, Vox Sanguinis, Proceedings of the IEEE and Transfusion Clinique et Biologique.
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.