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.
Convergence Properties of the Nelder--Mead Simplex Method in Low Dimensions
19985.5k citationsJeffrey C. Lagarias et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Jeffrey C. Lagarias
Since
Specialization
Citations
This map shows the geographic impact of Jeffrey C. Lagarias'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 Jeffrey C. Lagarias with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey C. Lagarias more than expected).
Fields of papers citing papers by Jeffrey C. Lagarias
This network shows the impact of papers produced by Jeffrey C. Lagarias. 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 Jeffrey C. Lagarias. The network helps show where Jeffrey C. Lagarias may publish in the future.
Co-authorship network of co-authors of Jeffrey C. Lagarias
This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey C. Lagarias.
A scholar is included among the top collaborators of Jeffrey C. Lagarias 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 Jeffrey C. Lagarias. Jeffrey C. Lagarias is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Lagarias, Jeffrey C.. (2012). The Takagi function and its properties (Functions in Number Theory and Their Probabilistic Aspects). Kyoto University Research Information Repository (Kyoto University). 34(34). 153–189.6 indexed citations
5.
Lagarias, Jeffrey C., et al.. (2012). p-adic path set fractals. arXiv (Cornell University).1 indexed citations
6.
Lagarias, Jeffrey C., et al.. (2011). The Kepler conjecture : the Hales-Ferguson proof by Thomas Hales, Samuel Ferguson. Springer eBooks.3 indexed citations
7.
Lagarias, Jeffrey C. & K. Soundararajan. (2009). Smooth solutions to the equation A+B=C. arXiv (Cornell University).2 indexed citations
Lagarias, Jeffrey C. & Yang Wang. (1999). Haar Bases for L 2 (R n ) and Algebraic Number Theory. Journal of Number Theory. 76(2). 330.18 indexed citations
13.
Seung, H. Sebastian, Tom Richardson, Jeffrey C. Lagarias, & J. J. Hopfield. (1997). Minimax and Hamiltonian Dynamics of Excitatory-Inhibitory Networks. neural information processing systems. 10. 329–335.13 indexed citations
Lagarias, Jeffrey C., Andrew Odlyzko, & Don Zagier. (1986). On the Capacity of Disjointly Shared Networks.. Computer Networks. 10. 275–285.3 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.