Gesine Reinert

Q: What Schools Are Affiliated With Gesine Reinert

Gesine Reinert is affiliated with the following schools: University of Göttingen, University of Oxford, University of California, Los Angeles, University of Southern California, University of Zurich

Gesine Reinert's AcademicInfluence.com Rankings

Gesine Reinert

Mathematics

#3314

World Rank

#4919

Historical Rank

Statistics

#302

World Rank

#364

Historical Rank

mathematics Degrees

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Mathematics

Why Is Gesine Reinert Influential?

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According to Wikipedia, Gesine Reinert is a German statistician who is University Professor in Statistics at the University of Oxford. She is a Fellow of Keble College, Oxford, a Fellow of the Alan Turing Institute, and a Fellow of the Institute of Mathematical Statistics. Her research concerns the probability theory and statistics of biological sequences and biological networks.

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Gesine Reinert's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Small worlds (2000) (959)
Probabilistic and Statistical Properties of Words: An Overview (2000) (252)
Stein's method and the zero bias transformation with application to simple random sampling (1997) (211)
Alignment-Free Sequence Comparison (I): Statistics and Power (2009) (193)
Multivariate normal approximation with Stein’s method of exchangeable pairs under a general linearity condition (2007) (176)
New developments of alignment-free sequence comparison: measures, statistics and next-generation sequencing (2014) (148)
Use of exchangeable pairs in the analysis of simulations (2004) (148)
Stein's method for comparison of univariate distributions (2014) (134)
Estimating the number of communities in a network (2016) (132)
Alignment-Free Sequence Comparison (II): Theoretical Power of Comparison Statistics (2010) (110)
Invariance Principles for Homogeneous Sums: Universality of Gaussian Wiener Chaos (2009) (109)
Compound Poisson and Poisson Process Approximations for Occurrences of Multiple Words in Markov Chains (1998) (85)
Deciphering chemotaxis pathways using cross species comparisons (2010) (79)
Second order Poincaré inequalities and CLTs on Wiener space (2008) (76)
Three general approaches to Stein's method (2005) (76)
Approximating the epidemic curve (2013) (72)
Chi-square approximation by Stein's method with application to Pearson's statistic (2015) (70)
Poisson Process Approximation for Sequence Repeats and Sequencing by Hybridization (1996) (68)
Alignment-Free Sequence Analysis and Applications. (2018) (68)
Distributional Transformations, Orthogonal Polynomials, and Stein Characterizations (2005) (65)
Stein's Method and Stochastic Analysis of Rademacher Functionals (2008) (64)
Efficient method for estimating the number of communities in a network (2017) (61)
Stein's Method for the Beta Distribution and the Pólya-Eggenberger Urn (2013) (60)
Alignment-free protein interaction network comparison (2014) (50)
New powerful statistics for alignment-free sequence comparison under a pattern transfer model. (2011) (44)
Bias in Epidemiological Studies of Conflict Mortality (2006) (39)
Predicting and Validating Protein Interactions Using Network Structure (2008) (38)
Distances between nested densities and a measure of the impact of the prior in Bayesian statistics (2015) (34)
Stein’s method for discrete Gibbs measures (2008) (34)
Stein’s Method Meets Statistics: A Review of Some Recent Developments (2021) (31)
How threshold behaviour affects the use of subgraphs for network comparison (2010) (29)
Approximate Computation of Expectations: the Canonical Stein Operator (2014) (29)
Inference of Markovian properties of molecular sequences from NGS data and applications to comparative genomics (2015) (26)
i‐Patch: Interprotein contact prediction using local network information (2010) (26)
The shortest distance in random multi‐type intersection graphs (2010) (25)
Couplings for normal approximations with Stein's method (1997) (24)
Risk in a Large Claims Insurance Market with Bipartite Graph Structure (2014) (24)
Zero Biasing in One and Higher Dimensions, and Applications † ‡ (2004) (23)
Identifying networks with common organizational principles (2017) (23)
Iterates of expanding maps (2000) (23)
Random subgraph counts and U-statistics: multivariate normal approximation via exchangeable pairs and embedding (2010) (22)
A Weak Law of Large Numbers for Empirical Measures via Stein's Method (1995) (20)
Approximating stationary distributions of fast mixing Glauber dynamics, with applications to exponential random graphs (2017) (20)
Measuring rank robustness in scored protein interaction networks (2018) (18)
Comparison of large networks with sub-sampling strategies (2016) (17)
Stein’s method for the bootstrap (2004) (16)
Anomaly Detection in Networks with Application to Financial Transaction Networks (2019) (16)
First-order covariance inequalities via Stein’s method (2019) (16)
Core–periphery structure in directed networks (2019) (16)
Discrete small world networks (2003) (15)
Bounds for the asymptotic distribution of the likelihood ratio (2018) (15)
Functional module detection through integration of single-cell RNA sequencing data with protein–protein interaction networks (2019) (15)
Stein operators, kernels and discrepancies for multivariate continuous distributions (2018) (15)
The Power of Detecting Enriched Patterns: An HMM Approach (2010) (14)
Multiple alignment-free sequence comparison (2013) (13)
The Asymptotic Evolution of the General Stochastic Epidemic (1995) (13)
Poisson approximation of subgraph counts in stochastic block models and a graphon model (2015) (12)
The Importance of Age and High Degree, in Protein-Protein Interaction Networks (2012) (12)
Conditional risk measures in a bipartite market structure (2015) (12)
Asymptotic Behaviour of Gossip Processes and Small-World Networks (2012) (11)
Stein’s density method for multivariate continuous distributions (2021) (10)
Large compound Poisson approximations for occurrences of multiple words (1999) (10)
SSSNET: Semi-Supervised Signed Network Clustering (2021) (10)
Hypergraphs for predicting essential genes using multiprotein complex data (2020) (10)
Measuring rank robustness in scored protein interaction networks (2019) (9)
Mutual information and variants for protein domain-domain contact prediction (2012) (9)
Stein's method for the Beta distribution and the P\'olya-Eggenberger Urn (2012) (9)
PyTorch Geometric Signed Directed: A Survey and Software on Graph Neural Networks for Signed and Directed Graphs (2022) (8)
Stein’s Method Meets Computational Statistics: A Review of Some Recent Developments (2021) (8)
Relaxing the Gaussian assumption in shrinkage and SURE in high dimension (2020) (8)
On the Length of the Longest Exact Position Match in a Random Sequence (2007) (7)
Detection and clustering of lead-lag networks for multivariate time series with an application to financial markets (7)
Ruin probabilities for risk processes in a bipartite network (2018) (7)
A statistical approach using network structure in the prediction of protein characteristics (2007) (7)
Topological Methods for Characterising Spatial Networks: A Case Study in Tumour Vasculature (2019) (7)
Total Variation Distance for Poisson Subset Numbers (2006) (6)
A Stein Goodness-of-test for Exponential Random Graph Models (2021) (6)
The rate of convergence of some asymptotically chi-square distributed statistics by Stein's method (2016) (6)
A nonparametric significance test for sampled networks (2015) (6)
Assessment of model fit via network comparison methods based on subgraph counts (2018) (6)
Lead–lag detection and network clustering for multivariate time series with an application to the US equity market (2022) (6)
Robust gene coexpression networks using signed distance correlation (2020) (6)
CommWalker: correctly evaluating modules in molecular networks in light of annotation bias (2017) (6)
Topology Characterises Tumour Vasculature (2019) (6)
Barabási-Albert random graphs, scale-free distributions and bounds for approximation through Stein's method (2009) (6)
COGENT: evaluating the consistency of gene co-expression networks (2020) (6)
On infinite covariance expansions (2019) (5)
Local Network Patterns in Protein-Protein Interfaces (2013) (5)
The stationary distribution in the antivoter model: exact sampling and approximations (2004) (5)
Protein Interaction Networks and Their Statistical Analysis (2011) (5)
Bounds for the chi-square approximation of Friedman’s statistic by Stein’s method (2021) (5)
A Stein Goodness of fit Test for Exponential Random Graph Models (2021) (5)
GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks (2022) (5)
Normal and Compound Poisson Approximations for Pattern Occurrences in NGS Reads (2012) (5)
U-statistics and random subgraph counts: Multivariate normal approximation via exchangeable pairs and embedding (2009) (4)
Correction: Small worlds (2004) (4)
Joint Vertex Degrees in the Inhomogeneous Random Graph Model ℊ(n,{pij }) (2012) (3)
DIGRAC: Digraph Clustering Based on Flow Imbalance (2021) (3)
AgraSSt: Approximate Graph Stein Statistics for Interpretable Assessment of Implicit Graph Generators (2022) (3)
Triad-Based Comparison and Signatures of Directed Networks (2018) (3)
DIGRAC: Digraph Clustering with Flow Imbalance (2021) (3)
Stein's Method for Epidemic Processes (2000) (3)
MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian (2022) (2)
Sampling bias due to structural heterogeneity and limited internal diffusion (2008) (2)
Normal approximation for the posterior in exponential families (2022) (2)
Poisson Process Approximation for Repeats in One Sequence and Its Application to Sequencing by Hybridization (1996) (2)
A bound on the rate of convergence in the central limit theorem for renewal processes under second moment conditions (2018) (2)
Trade Co-occurrence, Trade Flow Decomposition, and Conditional Order Imbalance in Equity Markets (2022) (2)
A threshold theorem for the general stochastic epidemic via a discrete approach (1992) (2)
Stein ’ s Method for Chisquare Approximations , Weak Law of Large Numbers , and Discrete Distributions from a Gibbs View Point (2003) (2)
Probabilistic Aspects of Sequence Repeats and Sequencing by Hybridization (1997) (1)
Joint Vertex Degrees in an Inhomogeneous Random Graph Model (2009) (1)
On RKHS Choices for Assessing Graph Generators via Kernel Stein Statistics (2022) (1)
Extracting Information from Gene Coexpression Networks of Rhizobium leguminosarum (2022) (1)
Mutual information and variants for protein domain-domain contact prediction (2012) (1)
Optimal resource allocation for multicast sessions in multi-hop wireless networks - Discussion (2008) (1)
Multivariate Central Limit Theorems for Random Clique Complexes (2021) (1)
A two-component copula with links to insurance (2014) (1)
Title Deciphering chemotaxis pathways using cross species comparisons Permalink (2010) (1)
Hitting probabilities for compound Poisson processes in a bipartite network (2018) (1)
Co-Trading Networks for Modeling Dynamic Interdependency Structures and Estimating High-Dimensional Covariances in US Equity Markets (2023) (1)
A Kernelised Stein Statistic for Assessing Implicit Generative Models (2022) (1)
Stein-type covariance identities: Klaassen, Papathanasiou and Olkin-Shepp type bounds for arbitrary target distributions (2018) (1)
i-Patch: inter protein contact prediction (2010) (1)
Sampling bias in systems with structural heterogeneity and limited internal diffusion (2008) (1)
Ranking of communities in multiplex spatiotemporal models of brain dynamics (2022) (0)
Prediction in Protein-Protein Interaction Networks (2008) (0)
Topological Analysis of Credit Data: Preliminary Findings (2022) (0)
Investigating the specificity of the histidine kinase response regulator complexes using mutual information (2010) (0)
Ranking of communities in multiplex spatiotemporal models of brain dynamics (2022) (0)
Stein ’ s Method for the Bootstrap Dedicated to Charles Stein on the occasion of his 80 th birthday (2004) (0)
Additional file 1 of Measuring rank robustness in scored protein interaction networks (2019) (0)
Stein's Method for Poisson-Exponential Distributions (2022) (0)
0 30 40 20 v 1 1 A pr 2 00 3 Discrete small world networks (2003) (0)
Estimating the correlation in network disturbance models (2020) (0)
Total Variation Distance for Poisson (2005) (0)
Stein Goodness-of-test for Exponential Random Graph Models Supplementary Material A Proofs and Additional Lemmas (2021) (0)
Gaussian approximation of functionals: Malliavin calculus and Stein’s method (2011) (0)
Submitted to the Annals of Applied Probability DISTANCES BETWEEN NESTED DENSITIES AND A MEASURE OF THE IMPACT OF THE PRIOR IN BAYESIAN STATISTICS By (2016) (0)
On Papathanasiou’s covariance expansions (2022) (0)
A Multivariate CLT for Dissociated Sums with Applications to U -Statistics and Random Complexes (2021) (0)
Role of mutual information for predicting contact residues in proteins (2012) (0)
PyTorch Geometric Signed Directed: A Software Package on Graph Neural Networks for Signed and Directed Graphs (2022) (0)
STEIN’S METHOD FOR DISCRETE GIBBS MEASURES 1 (2008) (0)
Functional module detection through integration of single-cell RNA sequencing data with protein–protein interaction networks (2020) (0)
6. Stein’s method for the bootstrap (2004) (0)
Compound Poisson approximation of subgraph counts in stochastic block models with multiple edges (2017) (0)
DAMNETS: A Deep Autoregressive Model for Generating Markovian Network Time Series (2022) (0)
Generating weighted and thresholded gene coexpression networks using signed distance correlation (2021) (0)

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What Schools Are Affiliated With Gesine Reinert?

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Gesine Reinert's Academic­Influence.com Rankings