Ana‐Maria Staicu
- Statistics and Probability top 0.5%
- Artificial Intelligence top 5%
- Cognitive Neuroscience
- Radiology, Nuclear Medicine and Imaging
- Economics and Econometrics top 10%
- Co-authors
- Fabian ScheiplCiprian M. CrainiceanuSonja GrevenArnab MaityRaymond J. CarrollDavid RuppertChongzhi DiJan Gertheiss
- Topics
- Statistical Methods and Inference (33 papers)Statistical Methods and Bayesian Inference (19 papers)Bayesian Methods and Mixture Models (10 papers)
- Partner nations
- United StatesGermanyDenmark
In The Last Decade
Ana‐Maria Staicu
62 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 125
- Statistics and Probability 712
- Artificial Intelligence 265
- Cognitive Neuroscience 101
- Radiology, Nuclear Medicine and Imaging 101
- Economics and Econometrics 97
Countries citing papers authored by Ana‐Maria Staicu
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 8 | |
| 6 | 3 | |
| 7 | A semiparametric Bayesian model for spatiotemporal extremes | 2 |
| 8 | 9 | |
| 9 | 7 | |
| 10 | 6 | |
| 11 | 29 | |
| 12 | 9 | |
| 13 | 13 | |
| 14 | 19 | |
| 15 | 147 | |
| 16 | 108 | |
| 17 | 25 | |
| 18 | 74 | |
| 19 | 0 | |
| 20 | 105 |
About Ana‐Maria Staicu
Ana‐Maria Staicu is a scholar working on Statistics and Probability, Equine and Small Animals, having authored 64 papers that have together received 1.2k indexed citations. Recurring topics across this work include Statistical Methods and Inference (33 papers), Statistical Methods and Bayesian Inference (19 papers) and Bayesian Methods and Mixture Models (10 papers). The work is most often cited by research in Statistics and Probability (712 citations), Computational Mathematics (29 citations) and Equine (16 citations). Ana‐Maria Staicu has collaborated with scholars based in United States, Germany and Denmark. Frequent co-authors include Fabian Scheipl, Ciprian M. Crainiceanu, Sonja Greven, Arnab Maity, Raymond J. Carroll, David Ruppert, Chongzhi Di, Jan Gertheiss, Andrada E. Ivanescu and So‐Young Park. Their work appears in journals such as Journal of the American Statistical Association, PLoS ONE and Scientific Reports.
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.