P. S. V. Nataraj
- Modeling and Simulation top 2%
- Numerical Analysis top 5%
- Advanced Optimization Algorithms Research 12
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- Advanced Control Systems Optimization 44
- Control Systems and Identification 34
- Fault Detection and Control Systems 19
- Advanced Control Systems Design 17
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- Numerical Methods and Algorithms 47
- Polynomial and algebraic computation 10
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- Digital Filter Design and Implementation 16
P. S. V. Nataraj
95 papers receiving 826 citations
Peers
Comparison fields: 5 of 63
- Modeling and Simulation 140
- Numerical Analysis 128
- Control and Systems Engineering 534
- Computational Theory and Mathematics 208
- Statistical and Nonlinear Physics 59
Countries citing papers authored by P. S. V. Nataraj
This map shows the geographic impact of P. S. V. Nataraj'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 P. S. V. Nataraj with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. S. V. Nataraj more than expected).
Fields of papers citing papers by P. S. V. Nataraj
This network shows the impact of papers produced by P. S. V. Nataraj. 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 P. S. V. Nataraj. The network helps show where P. S. V. Nataraj may publish in the future.
Co-authorship network
The 24 scholars most cited alongside P. S. V. Nataraj, 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 | 2022 | 3 | |
| 2 | 2021 | 1 | |
| 3 | 2021 | 15 | |
| 4 | 2020 | 1 | |
| 5 | 2019 | 31 | |
| 6 | 2019 | 8 | |
| 7 | 2017 | 2 | |
| 8 | 2017 | 0 | |
| 9 | 2017 | 5 | |
| 10 | 2017 | 3 | |
| 11 | 2014 | 8 | |
| 12 | 2013 | 73 | |
| 13 | A Matrix Method for Efficient Computation of Bernstein Coefficients | 2012 | 5 |
| 14 | An Interval Newton Method Based on the Bernstein Form for Bounding the Zeros of Polynomial Systems. | 2011 | 1 |
| 15 | A New Strategy For Selecting Subdivision Point In The Bernstein Approach To Polynomial Optimization | 2010 | 5 |
| 16 | 2010 | 0 | |
| 17 | 2009 | 17 | |
| 18 | 2008 | 3 | |
| 19 | 2007 | 1 | |
| 20 | 2003 | 1 |
About P. S. V. Nataraj
P. S. V. Nataraj is a scholar working on Computational Theory and Mathematics, Control and Systems Engineering and Numerical Analysis, having authored 101 papers that have together received 865 indexed citations. Recurring topics across this work include Numerical Methods and Algorithms (47 papers), Advanced Control Systems Optimization (44 papers), Control Systems and Identification (34 papers), Fault Detection and Control Systems (19 papers), Advanced Control Systems Design (17 papers), Digital Filter Design and Implementation (16 papers), Advanced Optimization Algorithms Research (12 papers) and Polynomial and algebraic computation (10 papers). The work is most often cited by research in Modeling and Simulation (140 citations), Numerical Analysis (128 citations) and Control and Systems Engineering (534 citations). P. S. V. Nataraj has collaborated with scholars based in India, France and Singapore. Frequent co-authors include Vishwesh A. Vyawahare, Sharad Bhartiya, A. P. Gupta, Mukesh D. Patil, Hariprasad Kodamana, Gilberto Espinosa-Paredes, Arnab Maity, Ketan Kotecha, Naresh N. Nandola and Prasanna S. Gandhi. Their work appears in journals such as Automatica, Energy and Industrial & Engineering Chemistry Research.
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.