Germán Aneiros
- Statistics and Probability top 0.5%
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Management Science and Operations Research top 5%
- Control and Systems Engineering top 5%
- Co-authors
- Philippe VieuJuan Manuel Vilar FernándezRicardo CaoRicardo FraimanChristian GenestAlejandro Quintela-del-Rı́oWenceslao González–ManteigaNengxiang Ling
- Topics
- Statistical Methods and Inference (33 papers)Advanced Statistical Methods and Models (26 papers)Bayesian Methods and Mixture Models (7 papers)
- Cited by
- Statistics and ProbabilityManagement Science and Operations ResearchArtificial Intelligence
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Power SystemsIEEE Access
In The Last Decade
Germán Aneiros
48 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 80
- Statistics and Probability 795
- Artificial Intelligence 328
- Electrical and Electronic Engineering 256
- Management Science and Operations Research 190
- Control and Systems Engineering 164
Countries citing papers authored by Germán Aneiros
This map shows the geographic impact of Germán Aneiros'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 Germán Aneiros with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Germán Aneiros more than expected).
Fields of papers citing papers by Germán Aneiros
This network shows the impact of papers produced by Germán Aneiros. 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 Germán Aneiros. The network helps show where Germán Aneiros may publish in the future.
Co-authorship network of co-authors of Germán Aneiros
This figure shows the co-authorship network connecting the top 25 collaborators of Germán Aneiros. A scholar is included among the top collaborators of Germán Aneiros 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 Germán Aneiros. Germán Aneiros 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 | 0 | |
| 3 | 17 | |
| 4 | 20 | |
| 5 | 1 | |
| 6 | 18 | |
| 7 | 107 | |
| 8 | 9 | |
| 9 | 12 | |
| 10 | 25 | |
| 11 | 27 | |
| 12 | 34 | |
| 13 | Using robust FPCA to identify outliers in functional time series, with applications to the electricity market | 6 |
| 14 | 63 | |
| 15 | 54 | |
| 16 | 19 | |
| 17 | 111 | |
| 18 | 27 | |
| 19 | 14 | |
| 20 | 11 |
About Germán Aneiros
Germán Aneiros is a scholar working on Statistics and Probability, Applied Mathematics and Finance, having authored 49 papers that have together received 1.2k indexed citations. Recurring topics across this work include Statistical Methods and Inference (33 papers), Advanced Statistical Methods and Models (26 papers) and Bayesian Methods and Mixture Models (7 papers). The work is most often cited by research in Statistics and Probability (795 citations), Management Science and Operations Research (190 citations) and Artificial Intelligence (328 citations). Germán Aneiros has collaborated with scholars based in Spain, France and Czechia. Frequent co-authors include Philippe Vieu, Juan Manuel Vilar Fernández, Ricardo Cao, Ricardo Fraiman, Christian Genest, Alejandro Quintela-del-Rı́o, Wenceslao González–Manteiga, Nengxiang Ling, Antonio Muñoz San Roque and Frédéric Ferraty. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Power Systems and IEEE Access.
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.