Francisco Cedrón
- Computational Theory and Mathematics top 5%
- Molecular Biology
- Artificial Intelligence
- Materials Chemistry
- Electrical and Electronic Engineering
- Co-authors
- Alejandro PazosCarlos Fernández-LozanoAdrián CarballalJosé Liñares-BlancoVíctor MaojoNereida Rodríguez-FernándezFrancisco J. NóvoaAna B. Porto-Pazos
- Topics
- Advanced Memory and Neural Computing (5 papers)Neural dynamics and brain function (3 papers)Neural Networks and Applications (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaInternational Journal of Molecular SciencesApplied Sciences
In The Last Decade
Francisco Cedrón
16 papers receiving 369 citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Computational Theory and Mathematics 190
- Molecular Biology 146
- Artificial Intelligence 53
- Materials Chemistry 52
- Electrical and Electronic Engineering 35
Countries citing papers authored by Francisco Cedrón
This map shows the geographic impact of Francisco Cedrón'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 Francisco Cedrón with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francisco Cedrón more than expected).
Fields of papers citing papers by Francisco Cedrón
This network shows the impact of papers produced by Francisco Cedrón. 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 Francisco Cedrón. The network helps show where Francisco Cedrón may publish in the future.
Co-authorship network of co-authors of Francisco Cedrón
This figure shows the co-authorship network connecting the top 25 collaborators of Francisco Cedrón. A scholar is included among the top collaborators of Francisco Cedrón 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 Francisco Cedrón. Francisco Cedrón is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | A review on machine learning approaches and trends in drug discoverybreakdown → | 264 |
| 5 | 4 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 64 | |
| 10 | 2 | |
| 11 | 3 | |
| 12 | 21 | |
| 13 | 1 | |
| 14 | MODELOS DE SIMULACIÓN DEL CULTIVO DE MAÍZ: FUNDAMENTOS Y APLICACIONES EN ESPAÑA | 1 |
| 15 | Simulation models of the maize crop: basis and applications in Spain. | 1 |
| 16 | PRODUCTIVIDAD DE LA ROTACIÓN ANUAL RAIGRÁS-MAÍZ EN GALICIA: EVALUACIÓN DURANTE CINCO AÑOS EN REGADÍO Y SECANO Y BAJO DOS SISTEMAS DE SIEMBRA | 2 |
| 17 | Efecto de la fecha siembra en altramuz blanco y guisante proteaginoso | 1 |
| 18 | Intensificación de la producción forrajera en Galicia | 4 |
About Francisco Cedrón
Francisco Cedrón is a scholar working on Agronomy and Crop Science, Cognitive Neuroscience and Gastroenterology, having authored 18 papers that have together received 384 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (5 papers), Neural dynamics and brain function (3 papers) and Neural Networks and Applications (3 papers). The work is most often cited by research in Computational Theory and Mathematics (190 citations), Health Informatics (12 citations) and Pharmacology (22 citations). Francisco Cedrón has collaborated with scholars based in Spain, France and Italy. Frequent co-authors include Alejandro Pazos, Carlos Fernández-Lozano, Adrián Carballal, José Liñares-Blanco, Víctor Maojo, Nereida Rodríguez-Fernández, Francisco J. Nóvoa, Ana B. Porto-Pazos, Enrique Fernández-Blanco and Óscar Ibáñez. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Applied Sciences.
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.