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.
Optimization by Simulated Annealing
198330.5k citationsScott Kirkpatrick, C. D. Gelatt et al.Scienceprofile →
Percolation and Conduction
19734.2k citationsScott KirkpatrickReviews of Modern Physicsprofile →
Solvable Model of a Spin-Glass
19752.9k citationsScott Kirkpatrick et al.Physical Review Lettersprofile →
An introduction to percolation theory
19712.0k citationsScott Kirkpatrick et al.profile →
Renormalization, vortices, and symmetry-breaking perturbations in the two-dimensional planar model
19771.5k citationsScott Kirkpatrick et al.profile →
Optimization by simulated annealing: Quantitative studies
19841.3k citationsScott KirkpatrickJournal of Statistical Physicsprofile →
Single-Site Approximations in the Electronic Theory of Simple Binary Alloys
19681.1k citationsScott Kirkpatrick et al.profile →
Infinite-ranged models of spin-glasses
1978754 citationsScott Kirkpatrick et al.profile →
Classical Transport in Disordered Media: Scaling and Effective-Medium Theories
Countries citing papers authored by Scott Kirkpatrick
Since
Specialization
Citations
This map shows the geographic impact of Scott Kirkpatrick'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 Scott Kirkpatrick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott Kirkpatrick more than expected).
Fields of papers citing papers by Scott Kirkpatrick
This network shows the impact of papers produced by Scott Kirkpatrick. 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 Scott Kirkpatrick. The network helps show where Scott Kirkpatrick may publish in the future.
Co-authorship network of co-authors of Scott Kirkpatrick
This figure shows the co-authorship network connecting the top 25 collaborators of Scott Kirkpatrick.
A scholar is included among the top collaborators of Scott Kirkpatrick 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 Scott Kirkpatrick. Scott Kirkpatrick is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Kirkpatrick, Scott. (2009). Anomalous current and voltage fluctuations in high power impulse magnetron sputtering. Insecta mundi.1 indexed citations
8.
Bickson, Danny, et al.. (2007). Everlab: a production platform for research in network experimentation and computation. USENIX Large Installation Systems Administration Conference. 16.10 indexed citations
9.
Schneider, Johannes J. & Scott Kirkpatrick. (2006). Stochastic Optimization (Scientific Computation). Springer eBooks.15 indexed citations
10.
Bickson, Danny, et al.. (2005). The eMule Protocol Specification.74 indexed citations
Guy, C N, J.L. Tholence, H. Maletta, et al.. (1979). Panel discussion: Spin glasses. Journal of Applied Physics. 50(B11). 7308–7317.28 indexed citations
Brodsky, M. H., Scott Kirkpatrick, & D. Weaire. (1974). Tetrahedrally bonded amorphous semiconductors : Yorktown Heights, 1974. American Institute of Physics eBooks.13 indexed citations
19.
Kirkpatrick, Scott. (1973). Percolation and Conduction. Reviews of Modern Physics. 45(4). 574–588.4150 indexed citations breakdown →
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.