Niranjan Subrahmanya
Impact in
- Signal Processing top 5%
- Music and Audio Processing
- Speech and Audio Processing
- Artificial Intelligence top 5%
- Speech Recognition and Synthesis
- Anomaly Detection Techniques and Applications
- Neural Networks and Applications
Papers in
-
- Neural Networks and Applications 2
- Advanced Text Analysis Techniques 2
-
- Fault Detection and Control Systems 8
- Co-authors
- Yung C. Shin (8 shared papers)Weichang Li (4 shared papers)Yan Liu (1 shared paper)Mirkó Visontai (1 shared paper)Slobodan Vučetić (1 shared paper)Mihajlo Grbovic (1 shared paper)Peter H. Meckl (1 shared paper)Gregor Urban (1 shared paper)
- Journals
- Engineering Applications of Artificial Intelligence (1 paper)IEEE Transactions on Industrial Informatics (1 paper)Neurocomputing (1 paper)Mechanical Systems and Signal Processing (1 paper)International Journal of Machine Learning and Cybernetics (1 paper)
- Partner nations
- United StatesGermanyChina
In The Last Decade
Niranjan Subrahmanya
21 papers receiving 525 citations
Peers
Comparison fields: 5 of 82
- Signal Processing 107
- Artificial Intelligence 283
- Control and Systems Engineering 135
- Computer Vision and Pattern Recognition 80
- Computational Mathematics 2
Countries citing papers authored by Niranjan Subrahmanya
This map shows the geographic impact of Niranjan Subrahmanya'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 Niranjan Subrahmanya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Niranjan Subrahmanya more than expected).
Fields of papers citing papers by Niranjan Subrahmanya
This network shows the impact of papers produced by Niranjan Subrahmanya. 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 Niranjan Subrahmanya. The network helps show where Niranjan Subrahmanya may publish in the future.
Co-authors
The 25 scholars most cited alongside Niranjan Subrahmanya, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 91 | |
| 2 | 2020 | 75 | |
| 3 | 2012 | 62 | |
| 4 | 2009 | 50 | |
| 5 | 2007 | 40 | |
| 6 | 2013 | 36 | |
| 7 | 2008 | 34 | |
| 8 | 2019 | 30 | |
| 9 | 2012 | 23 | |
| 10 | 2010 | 23 | |
| 11 | 2009 | 22 | |
| 12 | 2012 | 17 | |
| 13 | 2018 | 15 | |
| 14 | 2014 | 12 | |
| 15 | 2012 | 9 | |
| 16 | Multi-scale Graphical Models for Spatio-Temporal Processes | 2014 | 8 |
| 17 | 2020 | 2 | |
| 18 | Identification of Recurrent Patterns in the Activation of Brain Networks | 2012 | 1 |
| 19 | 2016 | 1 | |
| 20 | 2020 | 1 |
About Niranjan Subrahmanya
Niranjan Subrahmanya is a scholar working on Artificial Intelligence, Control and Systems Engineering, Mechanical Engineering, Ocean Engineering and Signal Processing, having authored 22 papers that have together received 553 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (8 papers), Mineral Processing and Grinding (4 papers), Reservoir Engineering and Simulation Methods (4 papers), Oil and Gas Production Techniques (2 papers), Sparse and Compressive Sensing Techniques (2 papers), Music and Audio Processing (2 papers), Neural Networks and Applications (2 papers) and Advanced Text Analysis Techniques (2 papers). The work is most often cited by research in Signal Processing (107 citations), Artificial Intelligence (283 citations), Control and Systems Engineering (135 citations), Computer Vision and Pattern Recognition (80 citations) and Computational Mathematics (2 citations). Niranjan Subrahmanya has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Yung C. Shin, Weichang Li, Yan Liu, Mirkó Visontai, Slobodan Vučetić, Mihajlo Grbovic, Peter H. Meckl, Gregor Urban, Pierre Baldi and Prashant Sridhar. Their work appears in journals such as Engineering Applications of Artificial Intelligence, IEEE Transactions on Industrial Informatics, Neurocomputing, Mechanical Systems and Signal Processing and International Journal of Machine Learning and Cybernetics.
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.