S. Martínez

About

S. Martínez is a scholar working on Statistics and Probability, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, S. Martínez has authored 35 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Statistics and Probability, 11 papers in Artificial Intelligence and 9 papers in Sociology and Political Science. Recurrent topics in S. Martínez’s work include Statistical Methods and Bayesian Inference (16 papers), Survey Sampling and Estimation Techniques (13 papers) and Bayesian Methods and Mixture Models (7 papers). S. Martínez is often cited by papers focused on Statistical Methods and Bayesian Inference (16 papers), Survey Sampling and Estimation Techniques (13 papers) and Bayesian Methods and Mixture Models (7 papers). S. Martínez collaborates with scholars based in Spain, Portugal and United States. S. Martínez's co-authors include M. Rueda, Antonio Arcos, Manuel Sánchez Pérez, Juan Francisco Muñoz Rosas, F. Javier López, Carlos Asensio, Miguel Soriano, Sarjinder Singh, Yves G. Berger and Housila P. Singh and has published in prestigious journals such as International Journal of Hospitality Management, Applied Soft Computing and Applied Mathematics and Computation.

In The Last Decade

Co-authorship network of co-authors of S. Martínez i

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Fields of papers citing papers by S. Martínez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. Martínez. 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 S. Martínez. The network helps show where S. Martínez may publish in the future.

Countries citing papers authored by S. Martínez

Since Specialization

Citations

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

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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