Leonardo Franco
- Artificial Intelligence top 2%
- Cognitive Neuroscience top 5%
- Computer Vision and Pattern Recognition top 5%
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- José M. JerezEdmund T. RollsFrancisco J. Moreno-BareaEmilio AlbaNuria RibellesIgnacio MolinaMiguel MartínNikolaos C. Aggelopoulos
- Topics
- Neural Networks and Applications (23 papers)Gene expression and cancer classification (10 papers)Neural dynamics and brain function (8 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- SpainUnited KingdomArgentina
In The Last Decade
Leonardo Franco
75 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 172
- Artificial Intelligence 688
- Cognitive Neuroscience 461
- Computer Vision and Pattern Recognition 256
- Molecular Biology 230
- Cellular and Molecular Neuroscience 223
Countries citing papers authored by Leonardo Franco
This map shows the geographic impact of Leonardo Franco'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 Leonardo Franco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leonardo Franco more than expected).
Fields of papers citing papers by Leonardo Franco
This network shows the impact of papers produced by Leonardo Franco. 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 Leonardo Franco. The network helps show where Leonardo Franco may publish in the future.
Co-authorship network of co-authors of Leonardo Franco
This figure shows the co-authorship network connecting the top 25 collaborators of Leonardo Franco. A scholar is included among the top collaborators of Leonardo Franco 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 Leonardo Franco. Leonardo Franco 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 | 18 | |
| 3 | 69 | |
| 4 | 11 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | Analysis of Cancer Microarray Data using Constructive Neural Networks and Genetic Algorithms. | 18 |
| 8 | Improving Motivation in Learning Programming Skills for Engineering Students | 7 |
| 9 | 4 | |
| 10 | 18 | |
| 11 | 23 | |
| 12 | 19 | |
| 13 | Missing data imputation in breast cancer prognosis | 23 |
| 14 | 28 | |
| 15 | 21 | |
| 16 | 7 | |
| 17 | Artificial neural networks and prognosis in medicine. Survival analysis in breast cancer patients. | 4 |
| 18 | 50 | |
| 19 | 35 | |
| 20 | 39 |
About Leonardo Franco
Leonardo Franco is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Computational Theory and Mathematics, having authored 79 papers that have together received 2.1k indexed citations. Recurring topics across this work include Neural Networks and Applications (23 papers), Gene expression and cancer classification (10 papers) and Neural dynamics and brain function (8 papers). The work is most often cited by research in Cognitive Neuroscience (461 citations), Health Information Management (102 citations) and Artificial Intelligence (688 citations). Leonardo Franco has collaborated with scholars based in Spain, United Kingdom and Argentina. Frequent co-authors include José M. Jerez, Edmund T. Rolls, Francisco J. Moreno-Barea, Emilio Alba, Nuria Ribelles, Ignacio Molina, Miguel Martín, Nikolaos C. Aggelopoulos, Pedro J. García-Laencina and Francisco Ortega-Zamorano. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.
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.