Nike Sun
Impact in
- Computational Mathematics top 5%
- Statistics and Probability top 2%
- Markov Chains and Monte Carlo Methods
Papers in
-
- Advanced Graph Theory Research 5
-
- Stochastic processes and statistical mechanics 7
- Mathematical Dynamics and Fractals 4
- Co-authors
- Allan Sly (9 shared papers)Jian Ding (4 shared papers)Andrea Montanari (2 shared papers)Amir Dembo (2 shared papers)Jian Ding (1 shared paper)Yumeng Zhang (3 shared papers)David B. Wilson (2 shared papers)Scott Sheffield⋆ (2 shared papers)
- Journals
- The Annals of Probability (3 papers)Probability Theory and Related Fields (2 papers)Communications in Mathematical Physics (2 papers)Electronic Journal of Probability (1 paper)Communications on Pure and Applied Mathematics (1 paper)
- Partner nations
- United StatesAustraliaIndia
In The Last Decade
Nike Sun
18 papers receiving 292 citations
Peers
Comparison fields: 5 of 33
- Computational Mathematics 23
- Statistics and Probability 140
- Mathematical Physics 102
- Discrete Mathematics and Combinatorics 26
- Computational Theory and Mathematics 97
Countries citing papers authored by Nike Sun
This map shows the geographic impact of Nike Sun'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 Nike Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nike Sun more than expected).
Fields of papers citing papers by Nike Sun
This network shows the impact of papers produced by Nike Sun. 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 Nike Sun. The network helps show where Nike Sun may publish in the future.
Co-authors
The 10 scholars most cited alongside Nike Sun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 51 | |
| 2 | 2015 | 37 | |
| 3 | 2012 | 34 | |
| 4 | 2018 | 29 | |
| 5 | 2014 | 27 | |
| 6 | 2019 | 24 | |
| 7 | 2016 | 20 | |
| 8 | 2015 | 19 | |
| 9 | 2011 | 12 | |
| 10 | 2016 | 11 | |
| 11 | 2022 | 10 | |
| 12 | 2014 | 7 | |
| 13 | 2021 | 5 | |
| 14 | 2016 | 4 | |
| 15 | 2012 | 4 | |
| 16 | 2012 | 4 | |
| 17 | 2019 | 3 | |
| 18 | Strong path convergence from Loewner driving convergence | 2010 | 1 |
About Nike Sun
Nike Sun is a scholar working on Computational Theory and Mathematics, Mathematical Physics, Statistics and Probability, Computer Networks and Communications and Condensed Matter Physics, having authored 18 papers that have together received 302 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (7 papers), Markov Chains and Monte Carlo Methods (7 papers), Constraint Satisfaction and Optimization (6 papers), Advanced Graph Theory Research (5 papers), Data Management and Algorithms (4 papers), Theoretical and Computational Physics (4 papers), Mathematical Dynamics and Fractals (4 papers) and Limits and Structures in Graph Theory (3 papers). The work is most often cited by research in Computational Mathematics (23 citations), Statistics and Probability (140 citations), Mathematical Physics (102 citations), Discrete Mathematics and Combinatorics (26 citations) and Computational Theory and Mathematics (97 citations). Nike Sun has collaborated with scholars based in United States, Australia and India. Frequent co-authors include Allan Sly, Jian Ding, Andrea Montanari, Amir Dembo, Jian Ding, Yumeng Zhang, David B. Wilson, Scott Sheffield⋆, Jason Miller and Richard Kenyon. Their work appears in journals such as The Annals of Probability, Probability Theory and Related Fields, Communications in Mathematical Physics, Electronic Journal of Probability and Communications on Pure and Applied Mathematics.
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.