Allon G. Percus
- Artificial Intelligence top 5%
- Statistical and Nonlinear Physics top 2%
- Computer Networks and Communications top 5%
- Computational Theory and Mathematics top 2%
- Condensed Matter Physics top 10%
- Co-authors
- Stefan BoettcherOlivier MartinCristina García–CardonaAndrea L. BertozziArjuna FlennerEkaterina MerkurjevKristina LermanDavid Aldous
- Topics
- Complex Network Analysis Techniques (10 papers)Opinion Dynamics and Social Influence (7 papers)Constraint Satisfaction and Optimization (6 papers)
- Cited by
- Statistical and Nonlinear PhysicsComputational Theory and MathematicsArtificial Intelligence
- Journals
- Proceedings of the National Academy of SciencesPhysical Review LettersIEEE Transactions on Pattern Analysis and Machine Intelligence
- Partner nations
- United StatesFrance
In The Last Decade
Allon G. Percus
35 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 98
- Artificial Intelligence 351
- Statistical and Nonlinear Physics 301
- Computer Networks and Communications 197
- Computational Theory and Mathematics 195
- Condensed Matter Physics 117
Countries citing papers authored by Allon G. Percus
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 64 | |
| 7 | 12 | |
| 8 | 9 | |
| 9 | 2 | |
| 10 | 30 | |
| 11 | 17 | |
| 12 | Parallel tempering for the traveling salesman problem | 0 |
| 13 | Computational Complexity and Statistical Physics (Santa Fe Institute Studies in the Sciences of Complexity Proceedings) | 1 |
| 14 | Spines of Random Constraint Satisfaction Problems: Definition and Impact on Computational Complexity. | 1 |
| 15 | 47 | |
| 16 | 230 | |
| 17 | 176 | |
| 18 | Greedy algorithms for optimized DNA sequencing | 1 |
| 19 | 19 | |
| 20 | 71 |
About Allon G. Percus
Allon G. Percus is a scholar working on Statistical and Nonlinear Physics, Signal Processing and Computer Networks and Communications, having authored 38 papers that have together received 1.1k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (10 papers), Opinion Dynamics and Social Influence (7 papers) and Constraint Satisfaction and Optimization (6 papers). The work is most often cited by research in Statistical and Nonlinear Physics (301 citations), Computational Theory and Mathematics (195 citations) and Artificial Intelligence (351 citations). Allon G. Percus has collaborated with scholars based in United States and France. Frequent 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. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.