Julia Calatayud
- Statistics, Probability and Uncertainty top 2%
- Modeling and Simulation top 5%
- Statistical and Nonlinear Physics top 10%
- Public Health, Environmental and Occupational Health
- Statistics and Probability top 5%
- Co-authors
- Marc JornetJ.‐C. CortésJorge MateuG. C. Fernández-PérezJosé A. DíazJavier Sánchez‐GonzalezCarla M. A. PintoRaquel Duarte
- Topics
- Probabilistic and Robust Engineering Design (24 papers)Advanced Mathematical Modeling in Engineering (10 papers)Fractional Differential Equations Solutions (9 papers)
In The Last Decade
Julia Calatayud
51 papers receiving 339 citations
Peers
Comparison fields: 5 of 77
- Statistics, Probability and Uncertainty 113
- Modeling and Simulation 91
- Statistical and Nonlinear Physics 56
- Public Health, Environmental and Occupational Health 56
- Statistics and Probability 55
Countries citing papers authored by Julia Calatayud
This map shows the geographic impact of Julia Calatayud'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 Julia Calatayud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia Calatayud more than expected).
Fields of papers citing papers by Julia Calatayud
This network shows the impact of papers produced by Julia Calatayud. 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 Julia Calatayud. The network helps show where Julia Calatayud may publish in the future.
Co-authorship network of co-authors of Julia Calatayud
This figure shows the co-authorship network connecting the top 25 collaborators of Julia Calatayud. A scholar is included among the top collaborators of Julia Calatayud 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 Julia Calatayud. Julia Calatayud 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 | 14 | |
| 3 | 5 | |
| 4 | 10 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 2 | |
| 8 | 20 | |
| 9 | 5 | |
| 10 | 3 | |
| 11 | 10 | |
| 12 | 3 | |
| 13 | 7 | |
| 14 | 5 | |
| 15 | 15 | |
| 16 | 11 | |
| 17 | 5 | |
| 18 | 4 | |
| 19 | 6 | |
| 20 | 11 |
About Julia Calatayud
Julia Calatayud is a scholar working on Statistics, Probability and Uncertainty, Modeling and Simulation and Numerical Analysis, having authored 55 papers that have together received 349 indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (24 papers), Advanced Mathematical Modeling in Engineering (10 papers) and Fractional Differential Equations Solutions (9 papers). The work is most often cited by research in Modeling and Simulation (91 citations), Statistics, Probability and Uncertainty (113 citations) and Numerical Analysis (51 citations). Julia Calatayud has collaborated with scholars based in Spain, Portugal and Brazil. Frequent co-authors include Marc Jornet, J.‐C. Cortés, Jorge Mateu, G. C. Fernández-Pérez, José A. Díaz, Javier Sánchez‐Gonzalez, Carla M. A. Pinto, Raquel Duarte, L. Villafuerte and Rafael J. Villanueva. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, Chaos Solitons & Fractals and Communications in Nonlinear Science and Numerical Simulation.
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.