Miguel González
- Mathematical Physics top 2%
- Infectious Diseases top 10%
- Epidemiology
- Statistics and Probability top 2%
- Artificial Intelligence top 10%
- Co-authors
- Manuel MolinaMargarita Rubio AlonsoJuan J. PicazoJ Romero-VivasClaudia Aura GonzalezI. del PuertoJ. Beltrán‐HerediaJesús Sánchez‐Martín
- Topics
- Stochastic processes and statistical mechanics (51 papers)Bayesian Methods and Mixture Models (19 papers)Markov Chains and Monte Carlo Methods (13 papers)
- Partner nations
- SpainUnited StatesBulgaria
In The Last Decade
Miguel González
85 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 154
- Mathematical Physics 343
- Infectious Diseases 239
- Epidemiology 197
- Statistics and Probability 192
- Artificial Intelligence 158
Countries citing papers authored by Miguel González
This map shows the geographic impact of Miguel González'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 Miguel González with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miguel González more than expected).
Fields of papers citing papers by Miguel González
This network shows the impact of papers produced by Miguel González. 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 Miguel González. The network helps show where Miguel González may publish in the future.
Co-authorship network of co-authors of Miguel González
This figure shows the co-authorship network connecting the top 25 collaborators of Miguel González. A scholar is included among the top collaborators of Miguel González 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 Miguel González. Miguel González 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 | 1 | |
| 4 | 2 | |
| 5 | Situación actual de la infección por Staphylococcus aureus resistente a meticilina en Extremadura: sensibilidad, clonalidad, y protagonismo de la adquisición extrahospitalaria | 1 |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 14 | |
| 9 | 91 | |
| 10 | 23 | |
| 11 | 5 | |
| 12 | 0 | |
| 13 | 1 | |
| 14 | 12 | |
| 15 | 3 | |
| 16 | 3 | |
| 17 | 1 | |
| 18 | Some Theoretical Results on the Progeny of a Bisexual Galton-Watson Branching Process | 4 |
| 19 | 1 | |
| 20 | A goodness of fit test in Markov models with dependence of covariates. | 8 |
About Miguel González
Miguel González is a scholar working on Mathematical Physics, Statistics and Probability and Finance, having authored 95 papers that have together received 1.3k indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (51 papers), Bayesian Methods and Mixture Models (19 papers) and Markov Chains and Monte Carlo Methods (13 papers). The work is most often cited by research in Mathematical Physics (343 citations), Applied Microbiology and Biotechnology (48 citations) and Statistics and Probability (192 citations). Miguel González has collaborated with scholars based in Spain, United States and Bulgaria. Frequent co-authors include Manuel Molina, Margarita Rubio Alonso, Juan J. Picazo, J Romero-Vivas, Claudia Aura Gonzalez, I. del Puerto, J. Beltrán‐Heredia, Jesús Sánchez‐Martín, Manuel Mota and Rodrigo Martínez. Their work appears in journals such as Clinical Infectious Diseases, Journal of Hazardous Materials and Chemical Engineering Journal.
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.