Ana‐Maria Staicu

2.0k total citations
64 papers, 1.2k citations indexed

About

Ana‐Maria Staicu is a scholar working on Statistics and Probability, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ana‐Maria Staicu has authored 64 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Statistics and Probability, 12 papers in Artificial Intelligence and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ana‐Maria Staicu's work include Statistical Methods and Inference (33 papers), Statistical Methods and Bayesian Inference (19 papers) and Bayesian Methods and Mixture Models (10 papers). Ana‐Maria Staicu is often cited by papers focused on Statistical Methods and Inference (33 papers), Statistical Methods and Bayesian Inference (19 papers) and Bayesian Methods and Mixture Models (10 papers). Ana‐Maria Staicu collaborates with scholars based in United States, Germany and United Kingdom. Ana‐Maria Staicu's co-authors include Fabian Scheipl, Ciprian M. Crainiceanu, Sonja Greven, Arnab Maity, Raymond J. Carroll, David Ruppert, Chongzhi Di, Jan Gertheiss, So‐Young Park and Andrada E. Ivanescu and has published in prestigious journals such as Journal of the American Statistical Association, PLoS ONE and Scientific Reports.

In The Last Decade

Ana‐Maria Staicu

62 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ana‐Maria Staicu United States 19 712 265 101 101 97 64 1.2k
Jérôme Saracco France 18 302 0.4× 174 0.7× 86 0.9× 48 0.5× 54 0.6× 74 959
Hans‐Georg Müller United States 13 747 1.0× 275 1.0× 28 0.3× 35 0.3× 70 0.7× 33 1.2k
Anindya Roy United States 17 324 0.5× 219 0.8× 33 0.3× 42 0.4× 96 1.0× 73 1.1k
Roland Fried Germany 21 462 0.6× 176 0.7× 133 1.3× 25 0.2× 143 1.5× 105 1.7k
Mervyn J. Silvapulle Australia 18 840 1.2× 192 0.7× 120 1.2× 18 0.2× 220 2.3× 57 1.8k
Geurt Jongbloed Netherlands 20 477 0.7× 212 0.8× 15 0.1× 34 0.3× 63 0.6× 79 1.4k
Thaddeus Tarpey United States 19 384 0.5× 338 1.3× 109 1.1× 26 0.3× 60 0.6× 78 1.1k
Matthew Reimherr United States 17 465 0.7× 199 0.8× 35 0.3× 10 0.1× 212 2.2× 47 1.1k
Markus Kalisch Switzerland 14 340 0.5× 432 1.6× 39 0.4× 41 0.4× 31 0.3× 29 1.2k
Prabir Burman United States 16 226 0.3× 226 0.9× 23 0.2× 25 0.2× 60 0.6× 37 1.2k

Countries citing papers authored by Ana‐Maria Staicu

Since Specialization
Citations

This map shows the geographic impact of Ana‐Maria Staicu'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 Ana‐Maria Staicu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ana‐Maria Staicu more than expected).

Fields of papers citing papers by Ana‐Maria Staicu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ana‐Maria Staicu. 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 Ana‐Maria Staicu. The network helps show where Ana‐Maria Staicu may publish in the future.

Co-authorship network of co-authors of Ana‐Maria Staicu

This figure shows the co-authorship network connecting the top 25 collaborators of Ana‐Maria Staicu. A scholar is included among the top collaborators of Ana‐Maria Staicu 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 Ana‐Maria Staicu. Ana‐Maria Staicu 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.
Long, Alexander, et al.. (2025). Spatial functional principal component analysis for spatially-indexed curves observed on closed spatial domain. Electronic Journal of Statistics. 19(1). 1 indexed citations
2.
Park, So‐Young, et al.. (2024). PROFIT: projection-based test in longitudinal functional data. Journal of nonparametric statistics. 36(4). 1036–1063. 2 indexed citations
3.
Reich, Brian J., et al.. (2023). A Nonparametric Test of Group Distributional Differences for Hierarchically Clustered Functional Data. Biometrics. 79(4). 3778–3791. 1 indexed citations
4.
Bírgand, François, et al.. (2022). Field performance of the GaugeCam image-based water level measurement system. PLOS Water. 1(7). e0000032–e0000032. 8 indexed citations
5.
Laber, Eric B., et al.. (2021). Novel approach to modeling high-frequency activity data to assess therapeutic effects of analgesics in chronic pain conditions. Scientific Reports. 11(1). 7737–7737. 3 indexed citations
6.
Reich, Brian J., et al.. (2018). A semiparametric Bayesian model for spatiotemporal extremes. arXiv (Cornell University). 2 indexed citations
7.
Reich, Brian J., Joseph Guinness, Simon Vandekar, Russell T. Shinohara, & Ana‐Maria Staicu. (2017). Fully Bayesian Spectral Methods for Imaging Data. Biometrics. 74(2). 645–652. 6 indexed citations
8.
Staicu, Ana‐Maria, et al.. (2017). Additive Function-on-Function Regression. Journal of Computational and Graphical Statistics. 27(1). 234–244. 29 indexed citations
9.
Gruen, Margaret E., et al.. (2017). The Use of Functional Data Analysis to Evaluate Activity in a Spontaneous Model of Degenerative Joint Disease Associated Pain in Cats. PLoS ONE. 12(1). e0169576–e0169576. 30 indexed citations
10.
Kong, Dehan, Ana‐Maria Staicu, & Arnab Maity. (2016). Classical testing in functional linear models. Journal of nonparametric statistics. 28(4). 813–838. 41 indexed citations
11.
Pomann, Gina‐Maria, Ana‐Maria Staicu, Edgar Lobatón, et al.. (2016). A lag functional linear model for prediction of magnetization transfer ratio in multiple sclerosis lesions. The Annals of Applied Statistics. 10(4). 2325–2348. 9 indexed citations
12.
Gertheiss, Jan, Jeff Goldsmith, & Ana‐Maria Staicu. (2016). A note on modeling sparse exponential-family functional response curves. Computational Statistics & Data Analysis. 105. 46–52. 13 indexed citations
13.
Staicu, Ana‐Maria, et al.. (2014). Analysis of AneuRisk65 data: Classification and curve registration. Electronic Journal of Statistics. 8(2). 2 indexed citations
14.
Staicu, Ana‐Maria, et al.. (2014). Significance tests for functional data with complex dependence structure. Journal of Statistical Planning and Inference. 156. 1–13. 19 indexed citations
15.
Staicu, Ana‐Maria, et al.. (2014). ST 732: Applied Longitudinal Data Analysis. 1 indexed citations
16.
Scheipl, Fabian, Ana‐Maria Staicu, & Sonja Greven. (2014). Functional Additive Mixed Models. Journal of Computational and Graphical Statistics. 24(2). 477–501. 147 indexed citations
17.
McLean, Mathew W., Giles Hooker, Ana‐Maria Staicu, Fabian Scheipl, & David Ruppert. (2012). Functional Generalized Additive Models. Journal of Computational and Graphical Statistics. 23(1). 249–269. 108 indexed citations
18.
Crainiceanu, Ciprian M., et al.. (2012). Bootstrap‐based inference on the difference in the means of two correlated functional processes. Statistics in Medicine. 31(26). 3223–3240. 38 indexed citations
19.
Staicu, Ana‐Maria, Ciprian M. Crainiceanu, Daniel S. Reich, & David Ruppert. (2011). Modeling Functional Data with Spatially Heterogeneous Shape Characteristics. Biometrics. 68(2). 331–343. 25 indexed citations
20.
Staicu, Ana‐Maria & D. A. S. Fraser. (2009). The second order ancillary is rotation based. Journal of Statistical Planning and Inference. 140(3). 831–836.

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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