Poulomi Ganguli

Global and Planetary Change · 2012–2014

A researcher in the Science corpus: 6 papers; trusts 51 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

• Global and Planetary Change — 89 citations into it; #598 of 10,225 by trust here, #4,198 by citations
• Finance — 48 citations into it; #4,126 of 10,518 by trust here, #6,960 by citations
• Statistics and Probability — 25 citations into it
• Economics and Econometrics — 22 citations into it
• Ocean Engineering — 13 citations into it
• Ecology, Evolution, Behavior and Systematics — 12 citations into it; #609 of 6,648 by trust here, #3,701 by citations
• Artificial Intelligence — 9 citations into it
• Management Science and Operations Research — 8 citations into it

Whom Poulomi Ganguli trusts overall

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

1. S. Yue
2. Christian Genest
3. F. Serinaldi
4. J. Shiau
5. G. Salvadori
6. Salvatore Grimaldi
7. Assaf J. Zeevi
8. C. Anderson‐Cook
9. Rafael Schmidt
10. Gabriel Frahm

Who trusts Poulomi Ganguli overall

1. F. Tosunoğlu
2. M. Janga Reddy
3. Mojca Šraj
4. Nejc Bezak
5. İ. Can
6. A. Daneshkhah
7. Vijay P. Singh
8. Kuk‐Hyun Ahn
9. U. F. ABDUL RAUF
10. Matjaz Mikos

Papers from Poulomi Ganguli's perspective

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

1. Multivariate hydrological frequency analysis using copulas
2. Fonctions de repartition a n dimensions et leurs marges
3. A Generalized Pareto intensity‐duration model of storm rainfall exploiting 2‐Copulas
4. Risk Management: Correlation and Dependence in Risk Management: Properties and Pitfalls
5. Extremes in Nature : an approach using Copulas
6. Dependence Structure and Risk Measure
7. Asymmetric copula in multivariate flood frequency analysis
8. Bivariate Statistical Approach to Check Adequacy of Dam Spillway
9. Importance of Tail Dependence in Bivariate Frequency Analysis
10. Estimating the tail-dependence coefficient: Properties and pitfalls

Their papers

• Toward enhanced understanding and projections of climate extremes using physics-guided data mining techniques (2014)
• Spatio-temporal analysis and derivation of copula-based intensity–area–frequency curves for droughts in western Rajasthan (India) (2013) — 48 citations
• Probabilistic assessment of flood risks using trivariate copulas (2012) — 132 citations
• Application of copulas for derivation of drought severity–duration–frequency curves (2012) — 155 citations
• Bivariate Flood Frequency Analysis of Upper Godavari River Flows Using Archimedean Copulas (2012) — 145 citations
• Risk Assessment of Droughts in Gujarat Using Bivariate Copulas (2012) — 119 citations