Andrés M. Alonso
- Molecular Biology
- Economics and Econometrics top 5%
- Signal Processing top 5%
- Artificial Intelligence top 10%
- Endocrinology top 5%
- Co-authors
- José Luis MartínezElizabeth Ann MaharajDaniel PeñaManuel G. ScottoJuan RomoSusana BarbosaPierpaolo D’UrsoCarolina García‐Martos
- Topics
- Time Series Analysis and Forecasting (13 papers)Statistical Methods and Inference (12 papers)Complex Systems and Time Series Analysis (12 papers)
In The Last Decade
Andrés M. Alonso
58 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 145
- Molecular Biology 257
- Economics and Econometrics 244
- Signal Processing 213
- Artificial Intelligence 171
- Endocrinology 150
Countries citing papers authored by Andrés M. Alonso
This map shows the geographic impact of Andrés M. Alonso'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 Andrés M. Alonso with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrés M. Alonso more than expected).
Fields of papers citing papers by Andrés M. Alonso
This network shows the impact of papers produced by Andrés M. Alonso. 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 Andrés M. Alonso. The network helps show where Andrés M. Alonso may publish in the future.
Co-authorship network of co-authors of Andrés M. Alonso
This figure shows the co-authorship network connecting the top 25 collaborators of Andrés M. Alonso. A scholar is included among the top collaborators of Andrés M. Alonso 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 Andrés M. Alonso. Andrés M. Alonso is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 22 | |
| 6 | 2 | |
| 7 | 29 | |
| 8 | 38 | |
| 9 | Reforma fiscal y lucha contra las deducciones | 0 |
| 10 | 0 | |
| 11 | 42 | |
| 12 | 21 | |
| 13 | 138 | |
| 14 | 2 | |
| 15 | 4 | |
| 16 | 88 | |
| 17 | Una revisión de los métodos de remuestreo en series temporales | 1 |
| 18 | [VIGILA: a tool for the epidemiologic surveillance of transmissible diseases]. | 2 |
| 19 | Comparison of the macroscopic readings and microscopic findings of the lepromin reaction. | 3 |
| 20 | [Reactional status of leprosy]. | 1 |
About Andrés M. Alonso
Andrés M. Alonso is a scholar working on Statistics and Probability, Medical Laboratory Technology and Signal Processing, having authored 65 papers that have together received 1.3k indexed citations. Recurring topics across this work include Time Series Analysis and Forecasting (13 papers), Statistical Methods and Inference (12 papers) and Complex Systems and Time Series Analysis (12 papers). The work is most often cited by research in Endocrinology (150 citations), Signal Processing (213 citations) and Statistics and Probability (149 citations). Andrés M. Alonso has collaborated with scholars based in Spain, Portugal and Australia. Frequent co-authors include José Luis Martínez, Elizabeth Ann Maharaj, Daniel Peña, Manuel G. Scotto, Juan Romo, Susana Barbosa, Pierpaolo D’Urso, Carolina García‐Martos, Adolfo Hernández and José R. Berrendero. Their work appears in journals such as Technometrics, Antimicrobial Agents and Chemotherapy and Atmospheric Environment.
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.