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.
Finding community structure in very large networks
20044.7k citationsAaron Clauset, M. E. J. Newman et al.Physical Review Eprofile →
Hierarchical structure and the prediction of missing links in networks
20081.4k citationsAaron Clauset, Cristopher Moore et al.Natureprofile →
Epidemics and percolation in small-world networks
2000651 citationsCristopher Moore, M. E. J. NewmanPhysical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topicsprofile →
Asymptotic analysis of the stochastic block model for modular networks and its algorithmic applications
2011379 citationsAurélien Decelle, Florent Krząkała et al.Physical Review Eprofile →
Spectral redemption in clustering sparse networks
2013340 citationsFlorent Krząkała, Cristopher Moore et al.Proceedings of the National Academy of Sciencesprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
Countries citing papers authored by Cristopher Moore
Since
Specialization
Citations
This map shows the geographic impact of Cristopher Moore'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 Cristopher Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cristopher Moore more than expected).
Fields of papers citing papers by Cristopher Moore
This network shows the impact of papers produced by Cristopher Moore. 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 Cristopher Moore. The network helps show where Cristopher Moore may publish in the future.
Co-authorship network of co-authors of Cristopher Moore
This figure shows the co-authorship network connecting the top 25 collaborators of Cristopher Moore.
A scholar is included among the top collaborators of Cristopher Moore 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 Cristopher Moore. Cristopher Moore is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Moore, Cristopher. (2014). The Cavity Method, Belief Propagation, and Phase Transitions in Community Detection. Bulletin of the American Physical Society. 2014.
9.
Mertens, Stephan & Cristopher Moore. (2013). . Theory of Computing. 9(1). 273–282.5 indexed citations
10.
Decelle, Aurélien, Florent Krząkała, Cristopher Moore, & Lenka Zdeborová. (2011). Asymptotic analysis of the stochastic block model for modular networks and its algorithmic applications. Physical Review E. 84(6). 66106–66106.379 indexed citations breakdown →
Clauset, Aaron, Cristopher Moore, & M. E. J. Newman. (2008). Hierarchical structure and the prediction of missing links in networks. Nature. 453(7191). 98–101.1381 indexed citations breakdown →
13.
Moore, Cristopher, et al.. (2005). Generating hard satisfiable formulas by hiding solutions deceptiveily. National Conference on Artificial Intelligence. 384–389.17 indexed citations
Allender, Eric, Sanjeev Arora, Michael Kearns, Cristopher Moore, & Alexander Russell. (2002). A Note on the Representational Incompatibility of Function Approximation and Factored Dynamics. Neural Information Processing Systems. 15. 447–454.2 indexed citations
Newman, M. E. J. & Cristopher Moore. (1999). Glassy dynamics and aging in an exactly solvable spin model. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 60(5). 5068–5072.76 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.