Allan Sly

63 papers receiving 1.3k citations

Allan Sly's Hit Papers

Spectral redemption in clustering sparse networks 2013 · 340 citations
3400+4+8Years since publication100200300

Peers

Allan Sly
Comparison fields: 5 of 83
  • Statistics and Probability 556
  • Mathematical Physics 409
  • Statistical and Nonlinear Physics 552
  • Discrete Mathematics and Combinatorics 73
  • Computational Mathematics 13
Replace Sourav Chatterjee with:
Sourav Chatterjee United States
James Allen Fill United States
Farrukh Mukhamedov United Arab Emirates
Vassili N. Kolokoltsov United Kingdom
David B. Wilson United States
Catherine Greenhill Australia
Hosam M. Mahmoud United States
Dmitry Panchenko United States
Erwin Bolthausen Switzerland
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Citations per year

Countries citing papers authored by Allan Sly

Since Specialization
Citations

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

Fields of papers citing papers by Allan Sly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Allan Sly, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Allan Sly Line = papers co-authored together Allan Sly links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Spectral redemption in clustering sparse networks
Hit paper breakdown →
2013340
2 2014144
3 201055
4 201451
5 201340
6 201537
7 201234
8 201134
9 201532
10 201231
11 201328
12 201128
13 200828
14 201427
15 200927
16 201027
17
Consistency Thresholds for Binary Symmetric Block Models.
201424
18 201824
19 201620
20 201519

About Allan Sly

Allan Sly is a scholar working on Statistics and Probability, Mathematical Physics, Condensed Matter Physics, Computational Theory and Mathematics and Artificial Intelligence, having authored 66 papers that have together received 1.4k indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (36 papers), Markov Chains and Monte Carlo Methods (36 papers), Theoretical and Computational Physics (17 papers), Limits and Structures in Graph Theory (9 papers), Complex Network Analysis Techniques (9 papers), Constraint Satisfaction and Optimization (8 papers), Topological and Geometric Data Analysis (7 papers) and Advanced Graph Theory Research (6 papers). The work is most often cited by research in Statistics and Probability (556 citations), Mathematical Physics (409 citations), Statistical and Nonlinear Physics (552 citations), Discrete Mathematics and Combinatorics (73 citations) and Computational Mathematics (13 citations). Allan Sly has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Elchanan Mossel, Nike Sun, Eyal Lubetzky, Cristopher Moore, Lenka Zdeborová, Pan Zhang, Florent Krząkała, Joe Neeman, Guy Bresler and Shankar Bhamidi. Their work appears in journals such as The Annals of Probability, Probability Theory and Related Fields, Communications in Mathematical Physics, Journal of Applied Probability and The Annals of Applied Probability.

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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