Christina Goldschmidt
- Mathematical Physics top 5%
- Statistics and Probability top 5%
- Condensed Matter Physics
- Statistical and Nonlinear Physics top 10%
- Artificial Intelligence
- Co-authors
- Nicolas BroutinLouigi Addario‐BerryJames MartinOliver JohnsonBénédicte HaasGrégory MiermontRui DongJean Martin
- Topics
- Stochastic processes and statistical mechanics (18 papers)Bayesian Methods and Mixture Models (6 papers)Markov Chains and Monte Carlo Methods (5 papers)
- Journals
- Transactions of the American Mathematical SocietyThe Annals of ProbabilityProbability Theory and Related Fields
- Partner nations
- United KingdomFranceUnited States
In The Last Decade
Christina Goldschmidt
19 papers receiving 262 citations
Peers
Comparison fields: 5 of 39
- Mathematical Physics 217
- Statistics and Probability 102
- Condensed Matter Physics 59
- Statistical and Nonlinear Physics 50
- Artificial Intelligence 50
Countries citing papers authored by Christina Goldschmidt
This map shows the geographic impact of Christina Goldschmidt'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 Christina Goldschmidt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christina Goldschmidt more than expected).
Fields of papers citing papers by Christina Goldschmidt
This network shows the impact of papers produced by Christina Goldschmidt. 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 Christina Goldschmidt. The network helps show where Christina Goldschmidt may publish in the future.
Co-authorship network of co-authors of Christina Goldschmidt
This figure shows the co-authorship network connecting the top 25 collaborators of Christina Goldschmidt. A scholar is included among the top collaborators of Christina Goldschmidt 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 Christina Goldschmidt. Christina Goldschmidt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 9 | |
| 5 | 3 | |
| 6 | 5 | |
| 7 | 35 | |
| 8 | 1 | |
| 9 | 11 | |
| 10 | 2 | |
| 11 | 50 | |
| 12 | 28 | |
| 13 | 3 | |
| 14 | 5 | |
| 15 | 24 | |
| 16 | 13 | |
| 17 | 20 | |
| 18 | 54 | |
| 19 | 7 | |
| 20 | 3 |
About Christina Goldschmidt
Christina Goldschmidt is a scholar working on Mathematical Physics, Discrete Mathematics and Combinatorics and Statistics and Probability, having authored 20 papers that have together received 277 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (18 papers), Bayesian Methods and Mixture Models (6 papers) and Markov Chains and Monte Carlo Methods (5 papers). The work is most often cited by research in Mathematical Physics (217 citations), Statistics and Probability (102 citations) and Discrete Mathematics and Combinatorics (31 citations). Christina Goldschmidt has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include Nicolas Broutin, Louigi Addario‐Berry, James Martin, Oliver Johnson, Bénédicte Haas, Grégory Miermont, Rui Dong, Jean Martin, James R. Norris and Alex Scott. Their work appears in journals such as Transactions of the American Mathematical Society, The Annals of Probability 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.