Eric D. Kolaczyk
Impact in
- Computational Mathematics top 2%
- Statistical and Nonlinear Physics top 0.5%
- Complex Network Analysis Techniques
Papers in
-
- Bayesian Methods and Mixture Models 9
-
- Complex Network Analysis Techniques 24
- Co-authors
- Mark Crovella (12 shared papers)Gábor Csárdi (3 shared papers)Hugh Chipman (2 shared papers)Robert E. McCulloch (2 shared papers)Mark Kramer (8 shared papers)Anukool Lakhina (3 shared papers)Christophe Diot (3 shared papers)Konstantina Papagiannaki (3 shared papers)
- Journals
- Journal of the American Statistical Association (10 papers)PLoS Computational Biology (3 papers)IEEE Transactions on Information Theory (3 papers)Nature Communications (2 papers)The Astrophysical Journal (2 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Eric D. Kolaczyk
108 papers receiving 4.6k citations
Eric D. Kolaczyk's Hit Papers
Peers
Comparison fields: 5 of 182
- Computational Mathematics 48
- Statistical and Nonlinear Physics 898
- Statistics and Probability 322
- Computer Vision and Pattern Recognition 788
- Media Technology 322
Countries citing papers authored by Eric D. Kolaczyk
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
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-authors
The 25 scholars most cited alongside Eric D. Kolaczyk, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 115 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Statistical Analysis of Network Data Hit paper breakdown → | 2009 | 577 |
| 2 | Statistical Analysis of Network Data: Methods and Models Hit paper breakdown → | 2009 | 388 |
| 3 | 1997 | 351 | |
| 4 | 2004 | 344 | |
| 5 | 2014 | 270 | |
| 6 | 2008 | 200 | |
| 7 | 2010 | 180 | |
| 8 | 2011 | 150 | |
| 9 | 2004 | 147 | |
| 10 | 2004 | 142 | |
| 11 | 2003 | 103 | |
| 12 | 2009 | 99 | |
| 13 | 2000 | 90 | |
| 14 | 2014 | 85 | |
| 15 | 2011 | 84 | |
| 16 | 2005 | 80 | |
| 17 | 1997 | 80 | |
| 18 | 2007 | 78 | |
| 19 | WAVELET SHRINKAGE ESTIMATION OF CERTAIN POISSON INTENSITY SIGNALS USING CORRECTED THRESHOLDS | 1999 | 69 |
| 20 | 2012 | 69 |
About Eric D. Kolaczyk
Eric D. Kolaczyk is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Molecular Biology, Statistics and Probability and Computer Vision and Pattern Recognition, having authored 115 papers that have together received 4.8k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (24 papers), Statistical Methods and Inference (14 papers), Bioinformatics and Genomic Networks (13 papers), Gene expression and cancer classification (13 papers), Image and Signal Denoising Methods (12 papers), Bayesian Methods and Mixture Models (9 papers), Functional Brain Connectivity Studies (8 papers) and Neural dynamics and brain function (7 papers). The work is most often cited by research in Computational Mathematics (48 citations), Statistical and Nonlinear Physics (898 citations), Statistics and Probability (322 citations), Computer Vision and Pattern Recognition (788 citations) and Media Technology (322 citations). Eric D. Kolaczyk has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Mark Crovella, Gábor Csárdi, Hugh Chipman, Robert E. McCulloch, Mark Kramer, Anukool Lakhina, Christophe Diot, Konstantina Papagiannaki, Nina Taft and Sydney S. Cash. Their work appears in journals such as Journal of the American Statistical Association, PLoS Computational Biology, IEEE Transactions on Information Theory, Nature Communications and The Astrophysical Journal.
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.