Rao S. Govindaraju

Global and Planetary Change · 2000–2010

A researcher in the Science corpus: 6 papers; trusts 39 researchers and is trusted by 39 researchers here, as inferred from the citation graph.

Subfields

• Global and Planetary Change — 46 citations into it; #263 of 10,225 by trust here, #1,657 by citations
• Finance — 25 citations into it; #1,138 of 10,518 by trust here, #2,555 by citations
• Statistics and Probability — 13 citations into it; #2,498 of 12,932 by trust here, #3,893 by citations
• Environmental Engineering — 9 citations into it
• Ocean Engineering — 9 citations into it; #489 of 3,193 by trust here, #283 by citations

Whom Rao S. Govindaraju trusts overall

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

1. G. Salvadori
2. Carlo De Michele
3. Roger B. Nelsen
4. Lianjun Zhang
5. S. Yue
6. Vijay P. Singh
7. Christian Genest
8. Benjamin Renard
9. Kok-Kwang Phoon
10. Shih-Chieh Kao

Who trusts Rao S. Govindaraju overall

1. Lu Chen
2. Vijay P. Singh
3. Fi-John Chang
4. Songbai Song
5. Sander Vandenberghe
6. Shenglian Guo
7. Shih-Chieh Kao
8. Ya-Ting Chang
9. Bahram Saghafian
10. U. F. ABDUL RAUF

Papers from Rao S. Govindaraju's perspective

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

1. Frequency analysis via copulas: Theoretical aspects and applications to hydrological events
2. Extremes in Nature : an approach using Copulas
3. Importance of Tail Dependence in Bivariate Frequency Analysis
4. A multivariate model of sea storms using copulas
5. A Generalized Pareto intensity‐duration model of storm rainfall exploiting 2‐Copulas
6. Bivariate Statistical Approach to Check Adequacy of Dam Spillway
7. Everything You Always Wanted to Know about Copula Modeling but Were Afraid to Ask
8. Kendall distribution functions
9. An Introduction to Copulas
10. Multivariate hydrological frequency analysis using copulas

Their papers

• Trivariate statistical analysis of extreme rainfall events via the Plackett family of copulas (2008) — 212 citations
• Artificial Neural Networks in Hydrology (2010) — 606 citations
• A copula-based joint deficit index for droughts. (2010) — 602 citations
• A bivariate frequency analysis of extreme rainfall with implications for design (2007) — 150 citations
• On an Exact Analytical Solution of the Boussinesq Equation (2000) — 61 citations
• ARTIFICIAL NEURAL NETWORKS IN HYDROLOGY: II, HYDROLOGIC APPLICATIONS (2000) — 698 citations