Rajendra Prasad

Statistical and Nonlinear Physics · with Prajapati · 2000–2020

A researcher in the Science corpus: 11 papers; trusts 14 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Statistical and Nonlinear Physics — 21 citations into it; #2,362 of 10,127 by trust here, #3,172 by citations
• Computational Theory and Mathematics — 16 citations into it
• Artificial Intelligence — 12 citations into it
• Control and Systems Engineering — 11 citations into it; #1,834 of 8,257 by trust here, #2,612 by citations
• Statistics and Probability — 9 citations into it; #4,128 of 12,932 by trust here, #4,809 by citations
• Mechanical Engineering — 7 citations into it
• Numerical Analysis — 7 citations into it; #2,197 of 3,586 by trust here, #2,430 by citations

Whom Rajendra Prasad trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. C. B. Vishwakarma
2. Afzal Sikander
3. Rajendra Prasad
4. Athanasios C. Antoulas
5. Amit Narwal
6. Y. Saad
7. Zhong-Zhi Bai
8. Charles V. Camp
9. Xin-She Yang
10. Ramesh Komarasamy

Who trusts Rajendra Prasad overall

1. Arvind Kumar Prajapati
2. C. B. Vishwakarma
3. Rajendra Prasad

Papers from Rajendra Prasad's perspective

Ordered by how strongly the researchers Rajendra Prasad trusts endorse each paper. Same corpus, a different order for every researcher.

1. Approximation of Large-Scale Dynamical Systems (Advances in Design and Control) (Advances in Design and Control)
2. Numerical Methods for Large Eigenvalue Problems
3. and s
4. Order reduction of linear systems with an improved pole clustering
5. Optimization of LTI Systems Using Modified Clustering Algorithm
6. Reduction of Linear Dynamic Systems using Routh Hurwitz Array and Factor Division Method
7. Biased reduction method by combining improved modified pole clustering and improved Pade approximations
8. Model Order Reduction by Using the Balanced Truncation and Factor Division Methods (Journal of the Institution of Electronics and Telecommunication Engineers)
9. A New Technique For Reduced-Order Modelling of Linear Time-Invariant System
10. DESIGN OF SPACE TRUSSES USING BIG BANG–BIG CRUNCH OPTIMIZATION

Their papers

• Pade type model order reduction for multivariable systems using routh approximation (2000) — 104 citations
• Model Order Reduction by Using the Balanced Truncation and Factor Division Methods (2018) — 78 citations
• Model Reduction Using the Balanced Truncation Method and the Padé Approximation Method (2020) — 62 citations
• Order Reduction of Linear Dynamic Systems by Improved Routh Approximation Method (2019) — 60 citations
• Optimization of LTI Systems Using Modified Clustering Algorithm (2017) — 57 citations
• A New Technique For Reduced-Order Modelling of Linear Time-Invariant System (2017) — 88 citations
• Linear time-invariant system reduction using a mixed methods approach (2015) — 141 citations
• Robust tuning of power system stabilizer for small signal stability enhancement using metaheuristic bat algorithm (2014) — 151 citations
• A new approach to order reduction using stability equation and big bang big crunch optimization (2013) — 95 citations
• System reduction using factor division algorithm and eigen spectrum analysis (2007) — 169 citations
• Reduction of Linear Dynamic Systems using Routh Hurwitz Array and Factor Division Method (2006) — 62 citations