Cristina Rueda

1.1k total citations
52 papers, 405 citations indexed

About

Cristina Rueda is a scholar working on Statistics and Probability, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Cristina Rueda has authored 52 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Statistics and Probability, 10 papers in Cognitive Neuroscience and 9 papers in Molecular Biology. Recurrent topics in Cristina Rueda's work include Statistical Methods and Inference (14 papers), Gene Regulatory Network Analysis (6 papers) and Bayesian Methods and Mixture Models (5 papers). Cristina Rueda is often cited by papers focused on Statistical Methods and Inference (14 papers), Gene Regulatory Network Analysis (6 papers) and Bayesian Methods and Mixture Models (5 papers). Cristina Rueda collaborates with scholars based in Spain, United States and United Kingdom. Cristina Rueda's co-authors include Miguel A. Fernández, Shyamal D. Peddada, F. J. Gallego, María José Lombardía, Shyamal Peddada, Alberto M. Borobia, Nicolás Medrano, Javier A. Menéndez, Jesús Frías and Alicia Herrero and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.

In The Last Decade

Cristina Rueda

47 papers receiving 374 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Cristina Rueda Spain 12 94 65 51 50 49 52 405
Dai Feng United States 13 73 0.8× 27 0.4× 84 1.6× 9 0.2× 55 1.1× 41 442
Choongrak Kim South Korea 13 184 2.0× 66 1.0× 53 1.0× 17 0.3× 26 0.5× 48 782
Ji Chen China 13 34 0.4× 89 1.4× 104 2.0× 34 0.7× 7 0.1× 44 652
Laura Azzimonti Switzerland 12 51 0.5× 29 0.4× 22 0.4× 9 0.2× 45 0.9× 20 447
Christine Porzelius Germany 14 56 0.6× 22 0.3× 136 2.7× 4 0.1× 37 0.8× 19 514
Aaron Fisher United States 7 39 0.4× 12 0.2× 47 0.9× 29 0.6× 101 2.1× 13 357
J. Kenneth Tay United States 6 26 0.3× 20 0.3× 69 1.4× 12 0.2× 48 1.0× 6 456
E. Eryl Bassett United Kingdom 16 25 0.3× 37 0.6× 222 4.4× 19 0.4× 6 0.1× 30 814
Ya‐Mei Chang Taiwan 9 65 0.7× 34 0.5× 16 0.3× 18 0.4× 30 0.6× 19 336

Countries citing papers authored by Cristina Rueda

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Fernández, Itziar, et al.. (2024). A comprehensive dataset of pattern electroretinograms for ocular electrophysiology research. Scientific Data. 11(1). 1013–1013. 3 indexed citations
2.
Rueda, Cristina, et al.. (2023). Functional clustering of neuronal signals with FMM mixture models. Heliyon. 9(10). e20639–e20639.
3.
Fernández, Itziar, et al.. (2023). Heart Attack Outcome Predictions Using FMM Models. Computing in cardiology. 50.
4.
Rueda, Cristina, et al.. (2022). Compelling new electrocardiographic markers for automatic diagnosis. Computer Methods and Programs in Biomedicine. 221. 106807–106807. 4 indexed citations
5.
Álvarez-Esteban, Pedro C., Eustasio del Barrio, Oscar M. Rueda, & Cristina Rueda. (2021). Predicting COVID-19 progression from diagnosis to recovery or death linking primary care and hospital records in Castilla y León (Spain). PLoS ONE. 16(9). e0257613–e0257613. 6 indexed citations
6.
Rueda, Cristina, et al.. (2019). Frequency Modulated Möbius Model Accurately Predicts Rhythmic Signals in Biological and Physical Sciences. Scientific Reports. 9(1). 18701–18701. 13 indexed citations
7.
Rueda, Cristina, et al.. (2018). A Bootstrap Based Measure Robust to the Choice of Normalization Methods for Detecting Rhythmic Features in High Dimensional Data. Frontiers in Genetics. 9. 24–24. 6 indexed citations
8.
Rueda, Cristina, et al.. (2016). Técnica snake en cirugía de aorta toracoabdominal. Cirugía Cardiovascular. 24(2). 116–116.
9.
Rueda, Cristina, et al.. (2015). Abordajes quirúrgicos de aorta: visión práctica para residentes. SHILAP Revista de lepidopterología. 22(3). 144–151. 2 indexed citations
10.
Moreno, Sandra Patricia Barragán, Cristina Rueda, Miguel A. Fernández, & Shyamal D. Peddada. (2015). Determination of Temporal Order among the Components of an Oscillatory System. PLoS ONE. 10(7). e0124842–e0124842. 4 indexed citations
11.
Ramı́rez, Elena, Eduardo López‐Granados, Alberto M. Borobia, et al.. (2014). Symptomatic thromboembolic events in patients treated with intravenous-immunoglobulins: Results from a retrospective cohort study. Thrombosis Research. 133(6). 1045–1051. 48 indexed citations
12.
Rueda, Cristina. (2013). Degrees of freedom and model selection in semiparametric additive monotone regression. Journal of Multivariate Analysis. 117. 88–99. 11 indexed citations
13.
Rueda, Cristina & María José Lombardía. (2012). Small area semiparametric additive monotone models. Statistical Modelling. 12(6). 527–549. 7 indexed citations
14.
Fernández, Miguel A., Cristina Rueda, & Shyamal D. Peddada. (2011). Identification of a core set of signature cell cycle genes whose relative order of time to peak expression is conserved across species. Nucleic Acids Research. 40(7). 2823–2832. 16 indexed citations
15.
Rueda, Cristina, et al.. (2010). Small area estimators based on restricted mixed models. Test. 19(3). 558–579. 7 indexed citations
16.
Rueda, Cristina, Miguel A. Fernández, & Shyamal D. Peddada. (2009). Estimation of Parameters Subject to Order Restrictions on a Circle With Application to Estimation of Phase Angles of Cell Cycle Genes. Journal of the American Statistical Association. 104(485). 338–347. 19 indexed citations
17.
Rueda, Cristina, et al.. (2003). Validation and sensitivity analysis of a probabilistic model for dietary exposure assessment to pesticide residues with a Basque Country duplicate diet study. Food Additives & Contaminants. 20(sup001). S87–S101. 14 indexed citations
18.
Fernández, Miguel A., et al.. (1998). Simultaneous estimation by isotonic regression. Journal of Statistical Planning and Inference. 70(1). 111–119. 2 indexed citations
19.
Rueda, Cristina, et al.. (1997). Simultaneous Estimation in a Restricted Linear Model. Journal of Multivariate Analysis. 61(1). 61–66. 6 indexed citations
20.
Gallego, F. J., et al.. (1993). Crop area estimates through remote sensing: stability of the regression correction. International Journal of Remote Sensing. 14(18). 3433–3445. 26 indexed citations

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.

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