Allon G. Percus

2.3k total citations
38 papers, 1.1k citations indexed

About

Allon G. Percus is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Allon G. Percus has authored 38 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Statistical and Nonlinear Physics, 11 papers in Computer Networks and Communications and 8 papers in Artificial Intelligence. Recurrent topics in Allon G. Percus's work include Complex Network Analysis Techniques (10 papers), Opinion Dynamics and Social Influence (7 papers) and Constraint Satisfaction and Optimization (6 papers). Allon G. Percus is often cited by papers focused on Complex Network Analysis Techniques (10 papers), Opinion Dynamics and Social Influence (7 papers) and Constraint Satisfaction and Optimization (6 papers). Allon G. Percus collaborates with scholars based in United States and France. Allon G. Percus's co-authors include Stefan Boettcher, Olivier Martin, Cristina García–Cardona, Andrea L. Bertozzi, Arjuna Flenner, Ekaterina Merkurjev, Kristina Lerman, David Aldous, Aric Hagberg and Laura Mazzoli Smith and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Allon G. Percus

35 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Allon G. Percus United States 18 351 301 197 195 117 38 1.1k
Ken A. Hawick New Zealand 17 180 0.5× 197 0.7× 413 2.1× 144 0.7× 191 1.6× 159 1.2k
Thomas Laurent Japan 17 144 0.4× 117 0.4× 136 0.7× 234 1.2× 62 0.5× 50 1.3k
Paola Flocchini Canada 26 213 0.6× 233 0.8× 1.9k 9.6× 419 2.1× 67 0.6× 144 2.4k
T.J. Tarn United States 28 436 1.2× 195 0.6× 185 0.9× 124 0.6× 42 0.4× 135 3.0k
Hua Zhong China 23 230 0.7× 297 1.0× 451 2.3× 62 0.3× 20 0.2× 170 1.7k
Zhiwen Zhang China 19 186 0.5× 191 0.6× 45 0.2× 133 0.7× 12 0.1× 136 1.5k
Nicola Santoro Canada 32 464 1.3× 228 0.8× 2.8k 14.1× 623 3.2× 63 0.5× 206 3.5k
Edward R. Scheinerman United States 19 134 0.4× 102 0.3× 244 1.2× 614 3.1× 15 0.1× 64 1.1k
Nong Ye United States 11 172 0.5× 640 2.1× 597 3.0× 22 0.1× 45 0.4× 23 1.1k
F.V. Fernández Spain 25 477 1.4× 160 0.5× 122 0.6× 461 2.4× 9 0.1× 217 2.4k

Countries citing papers authored by Allon G. Percus

Since Specialization
Citations

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

Fields of papers citing papers by Allon G. Percus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Allon G. Percus. 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 Allon G. Percus. The network helps show where Allon G. Percus may publish in the future.

Co-authorship network of co-authors of Allon G. Percus

This figure shows the co-authorship network connecting the top 25 collaborators of Allon G. Percus. A scholar is included among the top collaborators of Allon G. Percus 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 Allon G. Percus. Allon G. Percus 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.
Percus, Allon G., et al.. (2025). How out-group animosity can shape partisan divisions: A model of affective polarization. PNAS Nexus. 4(3). pgaf082–pgaf082. 4 indexed citations
2.
3.
Kath, John C., John Golden, Allon G. Percus, & Daniel O’Malley. (2025). Predicting Flow in Fracture Networks With Quantum Algorithms. Water Resources Research. 61(12).
4.
Shi, Yingqi, John C. Kath, Allon G. Percus, et al.. (2024). Bayesian learning of gas transport in three-dimensional fracture networks. Computers & Geosciences. 192. 105700–105700. 1 indexed citations
5.
6.
Percus, Allon G., et al.. (2019). Learning to fail: Predicting fracture evolution in brittle material models using recurrent graph convolutional neural networks. Computational Materials Science. 162. 322–332. 64 indexed citations
7.
Wu, Xin-Zeng, et al.. (2018). Degree correlations amplify the growth of cascades in networks. Physical review. E. 98(2). 22321–22321. 12 indexed citations
8.
Wu, Xin-Zeng, Allon G. Percus, & Kristina Lerman. (2017). Neighbor-Neighbor Correlations Explain Measurement Bias in Networks. Scientific Reports. 7(1). 5576–5576. 9 indexed citations
9.
Ma, Anna, Arjuna Flenner, Deanna Needell, & Allon G. Percus. (2014). Improving image clustering using sparse text and the wisdom of the crowds. 2014 48th Asilomar Conference on Signals, Systems and Computers. 1555–1557. 2 indexed citations
10.
Merkurjev, Ekaterina, Cristina García–Cardona, Andrea L. Bertozzi, Arjuna Flenner, & Allon G. Percus. (2014). Diffuse interface methods for multiclass segmentation of high-dimensional data. Applied Mathematics Letters. 33. 29–34. 30 indexed citations
11.
Smith, Laura Mazzoli, Kristina Lerman, Cristina García–Cardona, Allon G. Percus, & Rumi Ghosh. (2013). Spectral clustering with epidemic diffusion. Physical Review E. 88(4). 42813–42813. 17 indexed citations
12.
Percus, Allon G., Richard Wang, Jeffrey D. Hyman, & Russel E. Caflisch. (2008). Parallel tempering for the traveling salesman problem. Physica A Statistical Mechanics and its Applications.
13.
Percus, Allon G., et al.. (2006). Computational Complexity and Statistical Physics (Santa Fe Institute Studies in the Sciences of Complexity Proceedings). Oxford University Press eBooks. 1 indexed citations
14.
Boettcher, Stefan, et al.. (2004). Spines of Random Constraint Satisfaction Problems: Definition and Impact on Computational Complexity.. Annals of Mathematics and Artificial Intelligence. 1 indexed citations
15.
Boettcher, Stefan & Allon G. Percus. (2004). Extremal optimization at the phase transition of the three-coloring problem. Physical Review E. 69(6). 66703–66703. 47 indexed citations
16.
Boettcher, Stefan & Allon G. Percus. (2001). Optimization with Extremal Dynamics. Physical Review Letters. 86(23). 5211–5214. 230 indexed citations
17.
Boettcher, Stefan & Allon G. Percus. (2000). Nature's way of optimizing. Artificial Intelligence. 119(1-2). 275–286. 176 indexed citations
18.
Percus, Allon G. & David C. Torney. (1999). Greedy algorithms for optimized DNA sequencing. Symposium on Discrete Algorithms. 955–956. 1 indexed citations
19.
Percus, Allon G. & Olivier Martin. (1998). Scaling Universalities ofkth-Nearest Neighbor Distances on Closed Manifolds. Advances in Applied Mathematics. 21(3). 424–436. 19 indexed citations
20.
Percus, Allon G. & Olivier Martin. (1996). Finite Size and Dimensional Dependence in the Euclidean Traveling Salesman Problem. Physical Review Letters. 76(8). 1188–1191. 71 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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