World's Best Scientists 2026 revealed!
Eric D. Kolaczyk

Eric D. Kolaczyk

D-Index & Metrics

Computer Science

D-Index
38
Citations
10209
World Ranking
9998
National Ranking
400

Research.com Recognitions

  • 2017 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2011 - Fellow of the American Statistical Association (ASA)

Overview

Eric D. Kolaczyk is affiliated with McGill University in Canada and has contributed across multiple disciplines, primarily in the areas of Physics and Astronomy, Computer Science, and Mathematics. Their work encompasses subfields such as Statistical and Nonlinear Physics, Artificial Intelligence, Molecular Biology, Statistics and Probability, and Cognitive Neuroscience.

The scientist's research topics include:

  • Complex Network Analysis Techniques
  • Opinion Dynamics and Social Influence
  • COVID-19 Epidemiological Studies
  • Functional Brain Connectivity Studies
  • Privacy-Preserving Technologies in Data
  • Data-Driven Disease Surveillance
  • Graph Theory and Applications

Recent papers authored or co-authored by Eric D. Kolaczyk cover diverse areas of study. Notable works include:

  • "The in vivo genetic program of murine primordial lung epithelial progenitors," 2020, Nature Communications
  • "Robust dynamic community detection with applications to human brain functional networks," 2020, Nature Communications
  • "Assessment of a COVID-19 Control Plan on an Urban University Campus During a Second Wave of the Pandemic," 2021, JAMA Network Open
  • "Early Introduction and Rise of the Omicron Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Variant in Highly Vaccinated University Populations," 2022, Clinical Infectious Diseases
  • "Estimation of Subgraph Densities in Noisy Networks," 2020, Journal of the American Statistical Association

Eric D. Kolaczyk has collaborated frequently with several co-authors, including:

  • Gábor Csárdi
  • Laura F. White
  • Shurong Lin
  • Nathaniel Josephs
  • Xiaojing Zhu

Publications appear regularly in venues such as:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Harvard Data Science Review
  • PLoS Computational Biology
  • Nature Communications

In addition to research articles, they authored a book titled Statistical Analysis of Network Data with R published by Springer International Publishing in 2020.

The scientist has been recognized with professional distinctions, including:

  • Fellow of the American Association for the Advancement of Science (AAAS), awarded in 2017
  • Fellow of the American Statistical Association (ASA), awarded in 2011

Best Publications

  • Statistical Analysis of Network Data with R

    Eric Kolaczyk;Gbor Csrdi

  • Statistical Analysis of Network Data: Methods and Models

    Eric D. Kolaczyk

  • Adaptive Bayesian Wavelet Shrinkage

    Hugh A. Chipman;Eric D. Kolaczyk;Robert E. McCulloch

  • Structural analysis of network traffic flows

    Anukool Lakhina;Konstantina Papagiannaki;Mark Crovella;Christophe Diot

  • Statistical Analysis of Network Data

    Eric D. Kolaczyk

  • Graph wavelets for spatial traffic analysis

    M. Crovella;E. Kolaczyk

  • Emergent network topology at seizure onset in humans.

    Mark A. Kramer;Eric D. Kolaczyk;Heidi E. Kirsch

  • Gaussian mixture discriminant analysis and sub-pixel land cover characterization in remote sensing

    Junchang Ju;Eric D Kolaczyk;Sucharita Gopal

  • Bayesian Multiscale Models for Poisson Processes

    Eric D. Kolaczyk

  • Network inference with confidence from multivariate time series.

    Mark A. Kramer;Uri T. Eden;Sydney S. Cash;Eric D. Kolaczyk

  • A statistical multiscale framework for Poisson inverse problems

    R.D. Nowak;E.D. Kolaczyk

  • WAVELET SHRINKAGE ESTIMATION OF CERTAIN POISSON INTENSITY SIGNALS USING CORRECTED THRESHOLDS

    Eric D. Kolaczyk

  • Multiscale likelihood analysis and complexity penalized estimation

    Eric D. Kolaczyk;Robert David Nowak

  • On the choice of spatial and categorical scale in remote sensing land cover classification

    Junchang Ju;Sucharita Gopal;Eric D. Kolaczyk

  • Intrusion as (anti)social communication: characterization and detection

    Qi Ding;Natallia Katenka;Paul Barford;Eric Kolaczyk

  • Hypothesis testing for network data in functional neuroimaging

    Cedric E. Ginestet;Jun Li;Prakash Balachandran;Steven Rosenberg

  • On the Question of Effective Sample Size in Network Modeling: An Asymptotic Inquiry.

    Pavel N. Krivitsky;Eric D. Kolaczyk

  • Probabilistic Protein Function Prediction from Heterogeneous Genome-Wide Data

    Naoki Nariai;Eric D. Kolaczyk;Simon Kasif

  • Nonparametric Estimation of Gamma-Ray Burst Intensities Using Haar Wavelets

    Eric D. Kolaczyk

  • Network Kriging

    D.B. Chua;E.D. Kolaczyk;M. Crovella

  • Distributed Spatial Anomaly Detection

    P. Chhabra;C. Scott;E.D. Kolaczyk;M. Crovella

Frequent Co-Authors

Mark Crovella
Mark Crovella Boston University
Mark A. Kramer
Mark A. Kramer Boston University
Robert Nowak
Robert Nowak University of Wisconsin–Madison
Josée Dupuis
Josée Dupuis McGill University
Uri T. Eden
Uri T. Eden Boston University
Sydney S. Cash
Sydney S. Cash Harvard University
Sucharita Gopal
Sucharita Gopal Boston University
Emad N. Eskandar
Emad N. Eskandar Albert Einstein College of Medicine
Andrew W. Strong
Andrew W. Strong Max Planck Society
Simon Kasif
Simon Kasif Boston University

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