J. Martín
- Astronomy and Astrophysics top 10%
- Artificial Intelligence top 10%
- Nuclear and High Energy Physics top 10%
- Statistical and Nonlinear Physics top 10%
- Information Systems top 10%
- Co-authors
- Javier MuguerzaE. RuizOlatz ArbelaitzJesús M. PérezIbai GurrutxagaV. S. MankoIñigo PeronaAlberto Lluch Lafuente
- Topics
- Cosmology and Gravitation Theories (8 papers)Black Holes and Theoretical Physics (8 papers)Pulsars and Gravitational Waves Research (7 papers)
In The Last Decade
J. Martín
48 papers receiving 554 citations
Peers
Comparison fields: 5 of 105
- Astronomy and Astrophysics 182
- Artificial Intelligence 156
- Nuclear and High Energy Physics 129
- Statistical and Nonlinear Physics 80
- Information Systems 56
Countries citing papers authored by J. Martín
This map shows the geographic impact of J. Martín'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 J. Martín with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Martín more than expected).
Fields of papers citing papers by J. Martín
This network shows the impact of papers produced by J. Martín. 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 J. Martín. The network helps show where J. Martín may publish in the future.
Co-authorship network of co-authors of J. Martín
This figure shows the co-authorship network connecting the top 25 collaborators of J. Martín. A scholar is included among the top collaborators of J. Martín 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 J. Martín. J. Martín is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | Desde la universidad hasta primaria: proyecto piloto de innovación docente en Informática | 2 |
| 3 | 26 | |
| 4 | 10 | |
| 5 | Aprendizaje cooperativo y basado en proyectos en la asignatura Arquitectura de Computadores | 0 |
| 6 | Unsupervised anomaly detection system for Nidis-s based on payload and probabilistic suffix trees. | 1 |
| 7 | Evaluation of malware clustering based on its dynamic behaviour | 13 |
| 8 | 2 | |
| 9 | 6 | |
| 10 | 1 | |
| 11 | 9 | |
| 12 | 35 | |
| 13 | 10 | |
| 14 | 24 | |
| 15 | 8 | |
| 16 | 4 | |
| 17 | 2 | |
| 18 | Functional decomposition in large diagnosis problems | 3 |
| 19 | 4 | |
| 20 | Predictive relativistic mechanics of systems of N particles with spin | 3 |
About J. Martín
J. Martín is a scholar working on Computer Science Applications, Astronomy and Astrophysics and Statistical and Nonlinear Physics, having authored 51 papers that have together received 597 indexed citations. Recurring topics across this work include Cosmology and Gravitation Theories (8 papers), Black Holes and Theoretical Physics (8 papers) and Pulsars and Gravitational Waves Research (7 papers). The work is most often cited by research in Astronomy and Astrophysics (182 citations), Nuclear and High Energy Physics (129 citations) and Statistical and Nonlinear Physics (80 citations). J. Martín has collaborated with scholars based in Spain, Mexico and France. Frequent co-authors include Javier Muguerza, E. Ruiz, Olatz Arbelaitz, Jesús M. Pérez, Ibai Gurrutxaga, V. S. Manko, Iñigo Perona, V. S. Manko, Alberto Lluch Lafuente and Eloy Irigoyen. Their work appears in journals such as PLoS ONE, IEEE Access and Pattern Recognition.
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.