Codina Cotar
Impact in
- Statistics and Probability top 5%
- Markov Chains and Monte Carlo Methods
- Applied Mathematics top 10%
- Geometric Analysis and Curvature Flows
- Point processes and geometric inequalities
- Nonlinear Partial Differential Equations
Papers in
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- Markov Chains and Monte Carlo Methods 7
-
- Stochastic processes and statistical mechanics 6
- Co-authors
- Gero Friesecke (3 shared papers)Claudia Klüppelberg (2 shared papers)Brendan Pass (2 shared papers)Jean‐Dominique Deuschel (2 shared papers)Stefan Müller (1 shared paper)Alasdair I. Houston (1 shared paper)Christof Külske (1 shared paper)Christian B. Mendl (1 shared paper)
- Journals
- Advances in Applied Probability (1 paper)Random Structures and Algorithms (1 paper)Annales de l Institut Henri Poincaré Probabilités et Statistiques (1 paper)Journal of Theoretical Biology (1 paper)Probability Theory and Related Fields (1 paper)
- Partner nations
- GermanyUnited KingdomCanada
In The Last Decade
Codina Cotar
11 papers receiving 168 citations
Peers
Comparison fields: 5 of 50
- Statistics and Probability 60
- Applied Mathematics 51
- Mathematical Physics 39
- Geometry and Topology 23
- Condensed Matter Physics 28
Countries citing papers authored by Codina Cotar
This map shows the geographic impact of Codina Cotar'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 Codina Cotar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Codina Cotar more than expected).
Fields of papers citing papers by Codina Cotar
This network shows the impact of papers produced by Codina Cotar. 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 Codina Cotar. The network helps show where Codina Cotar may publish in the future.
Co-authors
The 13 scholars most cited alongside Codina Cotar, 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 | 2013 | 67 | |
| 2 | 2014 | 20 | |
| 3 | 2013 | 20 | |
| 4 | 2018 | 20 | |
| 5 | 2008 | 16 | |
| 6 | 2008 | 15 | |
| 7 | 2012 | 9 | |
| 8 | 2014 | 7 | |
| 9 | 2004 | 2 | |
| 10 | 2008 | 1 | |
| 11 | 2012 | 1 |
About Codina Cotar
Codina Cotar is a scholar working on Statistics and Probability, Mathematical Physics, Atomic and Molecular Physics, and Optics, Geometry and Topology and Statistical and Nonlinear Physics, having authored 11 papers that have together received 178 indexed citations. Recurring topics across this work include Markov Chains and Monte Carlo Methods (7 papers), Stochastic processes and statistical mechanics (6 papers), Advanced Chemical Physics Studies (3 papers), Geometric Analysis and Curvature Flows (2 papers), Evolutionary Psychology and Human Behavior (1 paper), Plant and animal studies (1 paper), Complex Network Analysis Techniques (1 paper) and Surface Chemistry and Catalysis (1 paper). The work is most often cited by research in Statistics and Probability (60 citations), Applied Mathematics (51 citations), Mathematical Physics (39 citations), Geometry and Topology (23 citations) and Condensed Matter Physics (28 citations). Codina Cotar has collaborated with scholars based in Germany, United Kingdom and Canada. Frequent co-authors include Gero Friesecke, Claudia Klüppelberg, Brendan Pass, Jean‐Dominique Deuschel, Stefan Müller, Alasdair I. Houston, Christof Külske, Christian B. Mendl, John M. McNamara and E. J. Collins. Their work appears in journals such as Advances in Applied Probability, Random Structures and Algorithms, Annales de l Institut Henri Poincaré Probabilités et Statistiques, Journal of Theoretical Biology and Probability Theory and Related Fields.
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.