Cristina Rueda
- Statistics and Probability top 5%
- Cardiology and Cardiovascular Medicine
- Molecular Biology
- Cognitive Neuroscience
- Artificial Intelligence
- Co-authors
- Miguel A. FernándezShyamal D. PeddadaF. J. GallegoMaría José LombardíaShyamal PeddadaAlicia HerreroElena Ramı́rezAlberto M. Borobia
- Topics
- Statistical Methods and Inference (14 papers)Gene Regulatory Network Analysis (6 papers)Bayesian Methods and Mixture Models (5 papers)
- Journals
- Nucleic Acids ResearchSHILAP Revista de lepidopterologíaJournal of the American Statistical Association
- Partner nations
- SpainUnited StatesUnited Kingdom
In The Last Decade
Cristina Rueda
47 papers receiving 374 citations
Peers
Comparison fields: 5 of 112
- Statistics and Probability 94
- Cardiology and Cardiovascular Medicine 65
- Molecular Biology 51
- Cognitive Neuroscience 50
- Artificial Intelligence 49
Countries citing papers authored by Cristina Rueda
This map shows the geographic impact of Cristina Rueda'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 Cristina Rueda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cristina Rueda more than expected).
Fields of papers citing papers by Cristina Rueda
This network shows the impact of papers produced by Cristina Rueda. 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 Cristina Rueda. The network helps show where Cristina Rueda may publish in the future.
Co-authorship network of co-authors of Cristina Rueda
This figure shows the co-authorship network connecting the top 25 collaborators of Cristina Rueda. A scholar is included among the top collaborators of Cristina Rueda 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 Cristina Rueda. Cristina Rueda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 5 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 4 | |
| 7 | 6 | |
| 8 | 6 | |
| 9 | 0 | |
| 10 | 35 | |
| 11 | 4 | |
| 12 | 2 | |
| 13 | 48 | |
| 14 | 11 | |
| 15 | 16 | |
| 16 | 19 | |
| 17 | 4 | |
| 18 | 14 | |
| 19 | 6 | |
| 20 | 26 |
About Cristina Rueda
Cristina Rueda is a scholar working on Statistics and Probability, Endocrine and Autonomic Systems and Cognitive Neuroscience, having authored 52 papers that have together received 405 indexed citations. Recurring topics across this work include Statistical Methods and Inference (14 papers), Gene Regulatory Network Analysis (6 papers) and Bayesian Methods and Mixture Models (5 papers). The work is most often cited by research in Statistics and Probability (94 citations), Cardiology and Cardiovascular Medicine (65 citations) and Cognitive Neuroscience (50 citations). Cristina Rueda has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Miguel A. Fernández, Shyamal D. Peddada, F. J. Gallego, María José Lombardía, Shyamal Peddada, Alicia Herrero, Elena Ramı́rez, Alberto M. Borobia, Hoi Y. Tong and Jesús Frías. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.
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.