S. Martínez
- Statistics and Probability top 2%
- Sociology and Political Science
- Artificial Intelligence
- Marketing top 10%
- Economics and Econometrics
- Co-authors
- M. RuedaAntonio ArcosManuel Sánchez PérezF. Javier LópezJuan Francisco Muñoz RosasCarlos AsensioMiguel SorianoSarjinder Singh
- Topics
- Statistical Methods and Bayesian Inference (16 papers)Survey Sampling and Estimation Techniques (13 papers)Bayesian Methods and Mixture Models (7 papers)
- Journals
- International Journal of Hospitality ManagementApplied Soft ComputingApplied Mathematics and Computation
- Partner nations
- SpainCubaUnited States
In The Last Decade
S. Martínez
33 papers receiving 305 citations
Peers
Comparison fields: 5 of 77
- Statistics and Probability 167
- Sociology and Political Science 85
- Artificial Intelligence 52
- Marketing 42
- Economics and Econometrics 41
Countries citing papers authored by S. Martínez
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).
Fields of papers citing papers by S. Martínez
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.
Co-authorship network of co-authors of S. Martínez
This figure shows the co-authorship network connecting the top 25 collaborators of S. Martínez. A scholar is included among the top collaborators of S. Martínez 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 S. Martínez. S. Martínez 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 | 9 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 5 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 28 | |
| 11 | 30 | |
| 12 | 4 | |
| 13 | 7 | |
| 14 | 2 | |
| 15 | 10 | |
| 16 | 4 | |
| 17 | 17 | |
| 18 | Estimation of Interquartile Range of the Study Variable Using the Known Interquartile Rangeof Auxiliary Variable | 6 |
| 19 | 59 | |
| 20 | 11 |
About S. Martínez
S. Martínez is a scholar working on Statistics and Probability, Tourism, Leisure and Hospitality Management and Marketing, having authored 36 papers that have together received 327 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (16 papers), Survey Sampling and Estimation Techniques (13 papers) and Bayesian Methods and Mixture Models (7 papers). The work is most often cited by research in Statistics and Probability (167 citations), Tourism, Leisure and Hospitality Management (7 citations) and Marketing (42 citations). S. Martínez has collaborated with scholars based in Spain, Cuba and United States. Frequent co-authors include M. Rueda, Antonio Arcos, Manuel Sánchez Pérez, F. Javier López, Juan Francisco Muñoz Rosas, Carlos Asensio, Miguel Soriano, Sarjinder Singh, Yves G. Berger and Housila P. Singh. Their work appears in journals such as International Journal of Hospitality Management, Applied Soft Computing and Applied Mathematics and Computation.
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.