Arvind Kumar Prajapati

Statistical and Nonlinear Physics · 2018–2020

A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Statistical and Nonlinear Physics — 28 citations into it; #10,048 of 10,127 by trust here, #9,682 by citations
• Control and Systems Engineering — 19 citations into it
• Statistics and Probability — 19 citations into it
• Computational Theory and Mathematics — 6 citations into it
• Numerical Analysis — 5 citations into it

Whom Arvind Kumar Prajapati trusts overall

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

1. Rajendra Prasad
2. Afzal Sikander
3. C. B. Vishwakarma
4. Amit Narwal
5. Y. Saad
6. Rajendra Prasad
7. Athanasios C. Antoulas
8. Serkan Gugercin

Who trusts Arvind Kumar Prajapati overall

1. Rajendra Prasad

Papers from Arvind Kumar Prajapati's perspective

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

1. Numerical Methods for Large Eigenvalue Problems
2. Optimization of LTI Systems Using Modified Clustering Algorithm
3. Reduction of Linear Dynamic Systems using Routh Hurwitz Array and Factor Division Method
4. Biased reduction method by combining improved modified pole clustering and improved Pade approximations
5. Model Order Reduction by Using the Balanced Truncation and Factor Division Methods (Journal of the Institution of Electronics and Telecommunication Engineers)
6. A New Technique For Reduced-Order Modelling of Linear Time-Invariant System
7. Pade type model order reduction for multivariable systems using routh approximation
8. Approximation of Large-Scale Dynamical Systems (Advances in Design and Control) (Advances in Design and Control)
9. Linear time-invariant system reduction using a mixed methods approach
10. Order reduction of linear systems with an improved pole clustering

Their papers

• 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