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

Eric D. Kolaczyk

D-Index & Metrics

Computer Science

D-Index
38
Citations
10209
World Ranking
9996
National Ranking
399

Eric D. Kolaczyk publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Eric D. Kolaczyk sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 146 publications — 25th percentile

25% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Eric D. Kolaczyk D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Eric D. Kolaczyk sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 38 D-Index — 30th percentile

30% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

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
Sydney S. Cash
Sydney S. Cash Harvard University
Uri T. Eden
Uri T. Eden Boston University
Sucharita Gopal
Sucharita Gopal Boston University
Scott E. Schaus
Scott E. Schaus Boston University
Emad N. Eskandar
Emad N. Eskandar Albert Einstein College of Medicine
Andrew Simmons
Andrew Simmons King's College London

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