Gesine Reinert
- Molecular Biology top 10%
- Artificial Intelligence top 5%
- Statistics and Probability top 1%
- Statistical and Nonlinear Physics top 2%
- Mathematical Physics top 5%
- Co-authors
- Michael S. WatermanFengzhu SunSophie SchbathCharlotte M. DeaneMichael NewmanAdrian RöllinGiovanni PeccatiJie Ren
- Topics
- Random Matrices and Applications (22 papers)Complex Network Analysis Techniques (22 papers)Bioinformatics and Genomic Networks (19 papers)
- Journals
- Physical Review LettersSHILAP Revista de lepidopterologíaBioinformatics
- Partner nations
- United KingdomUnited StatesChina
In The Last Decade
Gesine Reinert
84 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 139
- Molecular Biology 880
- Artificial Intelligence 420
- Statistics and Probability 317
- Statistical and Nonlinear Physics 307
- Mathematical Physics 224
Countries citing papers authored by Gesine Reinert
This map shows the geographic impact of Gesine Reinert'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 Gesine Reinert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gesine Reinert more than expected).
Fields of papers citing papers by Gesine Reinert
This network shows the impact of papers produced by Gesine Reinert. 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 Gesine Reinert. The network helps show where Gesine Reinert may publish in the future.
Co-authorship network of co-authors of Gesine Reinert
This figure shows the co-authorship network connecting the top 25 collaborators of Gesine Reinert. A scholar is included among the top collaborators of Gesine Reinert 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 Gesine Reinert. Gesine Reinert 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 | 3 | |
| 3 | 2 | |
| 4 | 10 | |
| 5 | Stein's Method Meets Statistics: A Review of Some Recent Developments | 3 |
| 6 | A Stein Goodness-of-test for Exponential Random Graph Models. | 1 |
| 7 | 24 | |
| 8 | 5 | |
| 9 | 49 | |
| 10 | 3 | |
| 11 | 5 | |
| 12 | 10 | |
| 13 | 3 | |
| 14 | 76 | |
| 15 | 141 | |
| 16 | 35 | |
| 17 | Sampling bias due to structural heterogeneity and limited internal diffusion | 1 |
| 18 | 23 | |
| 19 | Small worlds | 1 |
| 20 | 13 |
About Gesine Reinert
Gesine Reinert is a scholar working on Statistics and Probability, Discrete Mathematics and Combinatorics and Mathematical Physics, having authored 92 papers that have together received 1.8k indexed citations. Recurring topics across this work include Random Matrices and Applications (22 papers), Complex Network Analysis Techniques (22 papers) and Bioinformatics and Genomic Networks (19 papers). The work is most often cited by research in Statistics and Probability (317 citations), Mathematical Physics (224 citations) and Statistical and Nonlinear Physics (307 citations). Gesine Reinert has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Michael S. Waterman, Fengzhu Sun, Sophie Schbath, Charlotte M. Deane, Michael Newman, Adrian Röllin, Giovanni Peccati, Jie Ren, Larry Goldstein and A. D. Barbour. Their work appears in journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Bioinformatics.
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.