Jordi Valero
- Plant Science top 10%
- Soil Science top 10%
- Statistics and Probability top 5%
- Agronomy and Crop Science top 10%
- Artificial Intelligence
- Co-authors
- Pedro PuigF. Martı́n de Santa OlallaCèsar Ornat LongarónFrancisco Javier Sorribas RoyoSoledad Verdejo‐LucasFrancesc Casañas ArtigasManuel BonmatíM. Soliva
- Topics
- Bayesian Methods and Mixture Models (7 papers)Statistical Distribution Estimation and Applications (5 papers)Nematode management and characterization studies (4 papers)
In The Last Decade
Jordi Valero
33 papers receiving 563 citations
Peers
Comparison fields: 5 of 98
- Plant Science 356
- Soil Science 106
- Statistics and Probability 72
- Agronomy and Crop Science 64
- Artificial Intelligence 47
Countries citing papers authored by Jordi Valero
This map shows the geographic impact of Jordi Valero'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 Jordi Valero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jordi Valero more than expected).
Fields of papers citing papers by Jordi Valero
This network shows the impact of papers produced by Jordi Valero. 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 Jordi Valero. The network helps show where Jordi Valero may publish in the future.
Co-authorship network of co-authors of Jordi Valero
This figure shows the co-authorship network connecting the top 25 collaborators of Jordi Valero. A scholar is included among the top collaborators of Jordi Valero 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 Jordi Valero. Jordi Valero is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 32 | |
| 8 | 8 | |
| 9 | Los proyectos de trabajo: una herramienta al alcance | 1 |
| 10 | 47 | |
| 11 | 52 | |
| 12 | 9 | |
| 13 | 30 | |
| 14 | 22 | |
| 15 | Velocidad de mineralización del estiércol vacuno según su estabilidad | 0 |
| 16 | 17 | |
| 17 | 24 | |
| 18 | Organic waste management in education and research in agricultural engineering schools | 0 |
| 19 | 16 | |
| 20 | 34 |
About Jordi Valero
Jordi Valero is a scholar working on Statistics and Probability, Plant Science and Mathematical Physics, having authored 36 papers that have together received 613 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (7 papers), Statistical Distribution Estimation and Applications (5 papers) and Nematode management and characterization studies (4 papers). The work is most often cited by research in Soil Science (106 citations), Plant Science (356 citations) and Statistics and Probability (72 citations). Jordi Valero has collaborated with scholars based in Spain, Italy and Germany. Frequent co-authors include Pedro Puig, F. Martı́n de Santa Olalla, Cèsar Ornat Longarón, Francisco Javier Sorribas Royo, Soledad Verdejo‐Lucas, Francesc Casañas Artigas, Manuel Bonmatí, M. Soliva, Marga López and Marta Pérez‐Casany. Their work appears in journals such as Journal of the American Statistical Association, Bioresource Technology and Food Chemistry.
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.