Brian Karrer

6.8k total citations · 1 hit paper
22 papers, 3.2k citations indexed

About

Brian Karrer is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Communication. According to data from OpenAlex, Brian Karrer has authored 22 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Statistical and Nonlinear Physics, 4 papers in Artificial Intelligence and 3 papers in Communication. Recurrent topics in Brian Karrer's work include Complex Network Analysis Techniques (14 papers), Opinion Dynamics and Social Influence (9 papers) and Social Media and Politics (3 papers). Brian Karrer is often cited by papers focused on Complex Network Analysis Techniques (14 papers), Opinion Dynamics and Social Influence (9 papers) and Social Media and Politics (3 papers). Brian Karrer collaborates with scholars based in United States, Israel and Canada. Brian Karrer's co-authors include M. E. J. Newman, Eytan Bakshy, B. Ball, Elizaveta Levina, Lada A. Adamic, Michael S. Bernstein, Moira Burke, Lenka Zdeborová, Michael Newman and Johan Ugander and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Proceedings of the VLDB Endowment.

In The Last Decade

Brian Karrer

21 papers receiving 3.0k citations

Hit Papers

Stochastic blockmodels and community structure in networks 2011 2026 2016 2021 2011 250 500 750 1000
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.

  1. Stochastic blockmodels and community structure in networks
    2011 1.1k citations Brian Karrer, M. E. J. Newman Physical Review E profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brian Karrer United States 19 2.1k 725 488 338 326 22 3.2k
Manuel Gomez-Rodriguez Germany 23 1.3k 0.6× 878 1.2× 459 0.9× 274 0.8× 176 0.5× 70 2.9k
Wayne Zachary United States 11 2.6k 1.2× 1.1k 1.5× 254 0.5× 510 1.5× 496 1.5× 65 3.3k
Lev Muchnik Israel 17 2.8k 1.3× 512 0.7× 1.2k 2.5× 498 1.5× 282 0.9× 41 4.5k
Manlio De Domenico Italy 32 2.3k 1.1× 655 0.9× 928 1.9× 615 1.8× 614 1.9× 111 5.0k
Juyong Park South Korea 25 1.3k 0.6× 247 0.3× 413 0.8× 291 0.9× 575 1.8× 122 3.2k
Francisco A. Rodrigues Brazil 28 2.2k 1.1× 587 0.8× 416 0.9× 1.2k 3.7× 561 1.7× 131 5.0k
M. Ángeles Serrano Spain 29 2.7k 1.3× 345 0.5× 417 0.9× 438 1.3× 568 1.7× 69 4.2k
Tiago P. Peixoto Germany 20 1.2k 0.6× 441 0.6× 200 0.4× 244 0.7× 390 1.2× 52 2.1k
Sergio Gómez Spain 30 3.7k 1.7× 454 0.6× 615 1.3× 1.3k 3.9× 666 2.0× 81 5.9k
Lazaros K. Gallos United States 21 3.0k 1.4× 349 0.5× 416 0.9× 608 1.8× 573 1.8× 57 4.3k

Countries citing papers authored by Brian Karrer

Since Specialization
Citations

This map shows the geographic impact of Brian Karrer'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 Brian Karrer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Karrer more than expected).

Fields of papers citing papers by Brian Karrer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian Karrer. 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 Brian Karrer. The network helps show where Brian Karrer may publish in the future.

Co-authorship network of co-authors of Brian Karrer

This figure shows the co-authorship network connecting the top 25 collaborators of Brian Karrer. A scholar is included among the top collaborators of Brian Karrer 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 Brian Karrer. Brian Karrer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wilkins, Arjun, Daniel Kifer, Danfeng Zhang, & Brian Karrer. (2024). Exact Privacy Analysis of the Gaussian Sparse Histogram Mechanism. SHILAP Revista de lepidopterología. 14(1).
2.
Karrer, Brian, et al.. (2023). Large-scale measurement of aggregate human colocation patterns for epidemiological modeling. Epidemics. 42. 100663–100663. 9 indexed citations
3.
Karrer, Brian, et al.. (2021). Network Experimentation at Scale. 3106–3116. 7 indexed citations
4.
Balandat, Maximilian, Brian Karrer, Daniel Jiang, et al.. (2019). BoTorch: Programmable Bayesian Optimization in PyTorch.. 32 indexed citations
5.
Karrer, Brian, et al.. (2017). Social hash partitioner. Proceedings of the VLDB Endowment. 10(11). 1418–1429. 27 indexed citations
6.
Eckles, Dean, Brian Karrer, & Johan Ugander. (2016). Design and Analysis of Experiments in Networks: Reducing Bias from Interference. SHILAP Revista de lepidopterología. 88 indexed citations
7.
Karrer, Brian, et al.. (2016). Social Hash: an assignment framework for optimizing distributed systems operations on social networks. 455–468. 19 indexed citations
8.
Karrer, Brian, Michael Newman, & Lenka Zdeborová. (2014). Percolation on Sparse Networks. Physical Review Letters. 113(20). 208702–208702. 161 indexed citations
9.
Martin, Travis, B. Ball, Brian Karrer, & M. E. J. Newman. (2013). Coauthorship and citation patterns in the Physical Review. Physical Review E. 88(1). 12814–12814. 78 indexed citations
10.
Ugander, Johan, Brian Karrer, Lars Bäckström, & Jon Kleinberg. (2013). Graph cluster randomization. 329–337. 80 indexed citations
11.
Bernstein, Michael S., Eytan Bakshy, Moira Burke, & Brian Karrer. (2013). Quantifying the invisible audience in social networks. 21–30. 249 indexed citations
12.
Karrer, Brian & M. E. J. Newman. (2011). Stochastic blockmodels and community structure in networks. Physical Review E. 83(1). 16107–16107. 1105 indexed citations breakdown →
13.
Karrer, Brian & M. E. J. Newman. (2011). Competing epidemics on complex networks. Physical Review E. 84(3). 36106–36106. 164 indexed citations
14.
Ball, B., Brian Karrer, & M. E. J. Newman. (2011). Efficient and principled method for detecting communities in networks. Physical Review E. 84(3). 36103–36103. 249 indexed citations
15.
Karrer, Brian & M. E. J. Newman. (2010). Message passing approach for general epidemic models. Physical Review E. 82(1). 16101–16101. 202 indexed citations
16.
Karrer, Brian & M. E. J. Newman. (2010). Random graphs containing arbitrary distributions of subgraphs. Physical Review E. 82(6). 66118–66118. 104 indexed citations
17.
Karrer, Brian & M. E. J. Newman. (2009). Random graph models for directed acyclic networks. Physical Review E. 80(4). 46110–46110. 54 indexed citations
18.
Karrer, Brian & M. E. J. Newman. (2009). Random Acyclic Networks. Physical Review Letters. 102(12). 128701–128701. 26 indexed citations
19.
Bakshy, Eytan, Brian Karrer, & Lada A. Adamic. (2009). Social influence and the diffusion of user-created content. 325–334. 209 indexed citations
20.
Karrer, Brian, Elizaveta Levina, & M. E. J. Newman. (2008). Robustness of community structure in networks. Physical Review E. 77(4). 46119–46119. 223 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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