Eric D. Kolaczyk

7.6k total citations · 2 hit papers
115 papers, 4.8k citations indexed

About

Eric D. Kolaczyk is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Molecular Biology. According to data from OpenAlex, Eric D. Kolaczyk has authored 115 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 26 papers in Statistical and Nonlinear Physics and 22 papers in Molecular Biology. Recurrent topics in Eric D. Kolaczyk's work include Complex Network Analysis Techniques (24 papers), Statistical Methods and Inference (14 papers) and Gene expression and cancer classification (13 papers). Eric D. Kolaczyk is often cited by papers focused on Complex Network Analysis Techniques (24 papers), Statistical Methods and Inference (14 papers) and Gene expression and cancer classification (13 papers). Eric D. Kolaczyk collaborates with scholars based in United States, Canada and United Kingdom. Eric D. Kolaczyk's co-authors include Mark Crovella, Gábor Csárdi, Hugh Chipman, Robert E. McCulloch, Mark Kramer, Christophe Diot, Nina Taft, Konstantina Papagiannaki, Anukool Lakhina and Sydney S. Cash and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Eric D. Kolaczyk

108 papers receiving 4.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Statistical Analysis of Network Data

2009 577 citations Eric D. Kolaczyk profile →
Statistical Analysis of Network Data: Methods and Models

2009 388 citations Eric D. Kolaczyk Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)) profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Eric D. Kolaczyk United States	34	1.1k	898	788	691	666	115	4.8k
Alex M. Andrew United Kingdom	17	1.6k 1.5×	312 0.3×	709 0.9×	567 0.8×	684 1.0×	152	5.3k
Manfred Opper Germany	32	3.3k 3.2×	693 0.8×	732 0.9×	364 0.5×	489 0.7×	155	5.3k
Carey E. Priebe United States	34	1.4k 1.3×	746 0.8×	746 0.9×	335 0.5×	510 0.8×	217	3.7k
Stéphane Lafon United States	12	1.1k 1.1×	654 0.7×	1.6k 2.1×	127 0.2×	457 0.7×	13	5.1k
Aristidis Likas Greece	34	2.8k 2.6×	555 0.6×	2.1k 2.7×	387 0.6×	277 0.4×	153	7.1k
Elizaveta Levina United States	26	1.4k 1.4×	684 0.8×	621 0.8×	271 0.4×	283 0.4×	53	4.6k
Edwin V. Bonilla Australia	20	2.0k 1.9×	212 0.2×	854 1.1×	592 0.9×	342 0.5×	37	4.3k
Amy N. Langville United States	17	912 0.9×	995 1.1×	531 0.7×	543 0.8×	134 0.2×	37	3.8k
Ulrike von Luxburg Germany	25	3.5k 3.3×	1.6k 1.8×	2.6k 3.3×	509 0.7×	381 0.6×	60	7.9k
Marina Meilă United States	24	1.5k 1.5×	550 0.6×	1.0k 1.3×	151 0.2×	196 0.3×	60	3.4k

Countries citing papers authored by Eric D. Kolaczyk

Since Specialization

Citations

This map shows the geographic impact of Eric D. Kolaczyk's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Eric D. Kolaczyk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric D. Kolaczyk more than expected).

Fields of papers citing papers by Eric D. Kolaczyk

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric D. Kolaczyk. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Eric D. Kolaczyk. The network helps show where Eric D. Kolaczyk may publish in the future.

Co-authorship network of co-authors of Eric D. Kolaczyk

This figure shows the co-authorship network connecting the top 25 collaborators of Eric D. Kolaczyk. A scholar is included among the top collaborators of Eric D. Kolaczyk based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eric D. Kolaczyk. Eric D. Kolaczyk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Chang, Jinyuan, et al.. (2024). Edge differentially private estimation in the β-model via jittering and method of moments. The Annals of Statistics. 52(2).

Cunningham, Chris, et al.. (2024). Predicting Emission Wavelengths in Benzobisoxazole-Based OLEDs with Gradient Boosted Ensemble Models. The Journal of Physical Chemistry A. 128(30). 6116–6123. 1 indexed citations

Shappell, Heather M., et al.. (2023). Distinguishing between different percolation regimes in noisy dynamic networks with an application to epileptic seizures. PLoS Computational Biology. 19(6). e1011188–e1011188. 1 indexed citations

Lane, Kevin, et al.. (2023). Assessing the impact of aircraft arrival on ambient ultrafine particle number concentrations in near-airport communities in Boston, Massachusetts. Environmental Research. 225. 115584–115584. 6 indexed citations

White, Laura F., et al.. (2022). Estimation of local time-varying reproduction numbers in noisy surveillance data. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 380(2233). 20210303–20210303. 7 indexed citations

Zhou, Zhenwei, Eric D. Kolaczyk, Robin N. Thompson, & Laura F. White. (2022). Estimation of heterogeneous instantaneous reproduction numbers with application to characterize SARS-CoV-2 transmission in Massachusetts counties. PLoS Computational Biology. 18(9). e1010434–e1010434. 3 indexed citations

Sussman, Daniel L., et al.. (2022). Estimation of the Branching Factor in Noisy Networks. IEEE Transactions on Network Science and Engineering. 10(1). 565–577. 2 indexed citations

Manitz, Juliane, et al.. (2021). Sensor-based localization of epidemic sources on human mobility networks. PLoS Computational Biology. 17(1). e1008545–e1008545. 3 indexed citations

Ikonomou, Laertis, Michael J. Herriges, Robert Marsland, et al.. (2020). The in vivo genetic program of murine primordial lung epithelial progenitors. Nature Communications. 11(1). 40 indexed citations

10.

Kramer, Mark, et al.. (2020). Robust dynamic community detection with applications to human brain functional networks. Nature Communications. 11(1). 2785–2785. 37 indexed citations

11.

Chang, Jinyuan, Eric D. Kolaczyk, & Qiwei Yao. (2018). Estimation of edge density in noisy networks. arXiv (Cornell University). 2 indexed citations

12.

O'connor, George, et al.. (2016). Meta-Analysis for Penalized Regression Methods with Multi-Cohort Genome-Wide Association Studies. Human Heredity. 81(3). 142–149. 1 indexed citations

13.

Carvalho, Luís, et al.. (2015). Perturbation Detection Through Modeling of Gene Expression on a Latent Biological Pathway Network: A Bayesian Hierarchical Approach. Journal of the American Statistical Association. 111(513). 73–92. 7 indexed citations

14.

Fast, Eva M., et al.. (2011). Wolbachia Enhance Drosophila Stem Cell Proliferation and Target the Germline Stem Cell Niche. Science. 334(6058). 990–992. 150 indexed citations

15.

Gold, David, et al.. (2010). Network-based Auto-probit Modeling for Protein Function Prediction. Biometrics. 67(3). 958–966. 15 indexed citations

16.

Kolaczyk, Eric D.. (2009). Statistical Analysis of Network Data: Methods and Models. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 388 indexed citations breakdown →

17.

Willett, Rebecca, Robert D. Nowak, & Eric D. Kolaczyk. (2002). Multiscale Analysis of Photon-Limited Astronomical Signals and Images. AAS. 201. 1 indexed citations

18.

Kolaczyk, Eric D.. (1999). WAVELET SHRINKAGE ESTIMATION OF CERTAIN POISSON INTENSITY SIGNALS USING CORRECTED THRESHOLDS. Blood. 55(2). 195–8. 69 indexed citations

19.

Kolaczyk, Eric D., et al.. (1999). Deconvolution of Poisson-Limited Data Using a Bayesian Multi-Scale Model. 4. 1 indexed citations

20.

Kolaczyk, Eric D.. (1996). A Wavelet Shrinkage Approach to Tomographic Image Reconstruction. Journal of the American Statistical Association. 91(435). 1079–1090. 47 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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