Leonardo Franco

3.2k total citations
79 papers, 2.1k citations indexed

About

Leonardo Franco is a scholar working on Artificial Intelligence, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Leonardo Franco has authored 79 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 14 papers in Molecular Biology and 13 papers in Cognitive Neuroscience. Recurrent topics in Leonardo Franco's work include Neural Networks and Applications (23 papers), Gene expression and cancer classification (10 papers) and Neural dynamics and brain function (8 papers). Leonardo Franco is often cited by papers focused on Neural Networks and Applications (23 papers), Gene expression and cancer classification (10 papers) and Neural dynamics and brain function (8 papers). Leonardo Franco collaborates with scholars based in Spain, United Kingdom and Argentina. Leonardo Franco's 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 and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Leonardo Franco

75 papers receiving 2.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Leonardo Franco Spain 24 688 461 256 230 223 79 2.1k
Xueying Zhang China 23 611 0.9× 229 0.5× 225 0.9× 273 1.2× 288 1.3× 195 2.2k
Alfred Ultsch Germany 30 788 1.1× 237 0.5× 375 1.5× 508 2.2× 116 0.5× 135 3.0k
Huiyan Li China 24 315 0.5× 617 1.3× 114 0.4× 222 1.0× 526 2.4× 118 2.1k
Sohan Seth United States 18 521 0.8× 382 0.8× 335 1.3× 174 0.8× 105 0.5× 72 1.9k
José M. Jerez Spain 22 718 1.0× 140 0.3× 240 0.9× 351 1.5× 52 0.2× 71 1.9k
Yan Wu China 23 391 0.6× 317 0.7× 626 2.4× 196 0.9× 48 0.2× 231 2.4k
Wei Fang China 24 568 0.8× 248 0.5× 572 2.2× 509 2.2× 174 0.8× 172 3.2k
Guo‐Qiang Zhang United States 31 932 1.4× 721 1.6× 286 1.1× 906 3.9× 62 0.3× 251 3.9k
Martti Juhola Finland 28 626 0.9× 368 0.8× 261 1.0× 622 2.7× 80 0.4× 222 3.6k

Countries citing papers authored by Leonardo Franco

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Baldi, Tommaso Lisini, et al.. (2024). A Novel Wearable Sensing Device Enabling Remote Palpation. Use Siena air (University of Siena). 149–156. 6 indexed citations
2.
Franco, Leonardo, et al.. (2022). On the Somatotopic Mapping of Haptic Feedback from Robotic Supernumerary Limbs. 2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). 192–197. 1 indexed citations
3.
4.
Turias, Ignacio J., et al.. (2019). Spatial and meteorological relevance in NO2 estimations: a case study in the Bay of Algeciras (Spain). Stochastic Environmental Research and Risk Assessment. 33(3). 801–815. 11 indexed citations
5.
Franco, Leonardo, et al.. (2018). Integration of Relational Databases in ethical decision-making for autonomous vehicles. 48. 1–6. 1 indexed citations
6.
Franco, Leonardo, et al.. (2017). Time-series prediction with BEMCA approach: Application to short rainfall series. 1–6. 2 indexed citations
7.
Luque‐Baena, Rafael Marcos, et al.. (2013). Analysis of Cancer Microarray Data using Constructive Neural Networks and Genetic Algorithms.. 55–63. 18 indexed citations
8.
Ribelles, Nuria, José M. Jerez, Bella Pajares, et al.. (2013). Pattern of recurrence of early breast cancer is different according to intrinsic subtype and proliferation index. Breast Cancer Research. 15(5). R98–R98. 89 indexed citations
9.
Jerez, José M., et al.. (2012). Improving Motivation in Learning Programming Skills for Engineering Students. International journal of engineering education. 28(1). 202–208. 7 indexed citations
10.
Perez‐Rivas, Luis Gustavo, José M. Jerez, Vanessa de Luque, et al.. (2012). Serum protein levels following surgery in breast cancer patients: A protein microarray approach. International Journal of Oncology. 41(6). 2200–2206. 23 indexed citations
11.
Urda, Daniel, et al.. (2012). WIMP: Web server tool for missing data imputation. Computer Methods and Programs in Biomedicine. 108(3). 1247–1254. 4 indexed citations
12.
Franco, Leonardo, et al.. (2009). Constructive Neural Networks. Studies in computational intelligence. 33 indexed citations
13.
Jerez, José M., et al.. (2008). A New Decomposition Algorithm for Threshold Synthesis and Generalization of Boolean Functions. IEEE Transactions on Circuits and Systems I Regular Papers. 55(10). 3188–3196. 32 indexed citations
14.
Franco, Leonardo, et al.. (2007). Computational capabilities of feedforward neural networks: the role of the output function. 231–238. 2 indexed citations
15.
Jerez, José M., et al.. (2006). Missing data imputation in breast cancer prognosis. 323–328. 23 indexed citations
16.
Rolls, Edmund T., Leonardo Franco, Nikolaos C. Aggelopoulos, & José M. Jerez. (2006). Information in the first spike, the order of spikes, and the number of spikes provided by neurons in the inferior temporal visual cortex. Vision Research. 46(25). 4193–4205. 28 indexed citations
17.
Hadjianastassiou, Vassilis G., Leonardo Franco, José M. Jerez, et al.. (2006). Optimal prediction of mortality after abdominal aortic aneurysm repair with statistical models. Journal of Vascular Surgery. 43(3). 467–473.e3. 21 indexed citations
18.
Franco, Leonardo. (2006). Generalization ability of Boolean functions implemented in feedforward neural networks. Neurocomputing. 70(1-3). 351–361. 18 indexed citations
19.
Franco, Leonardo, José M. Jerez, & Emilio Alba. (2005). Artificial neural networks and prognosis in medicine. Survival analysis in breast cancer patients.. The European Symposium on Artificial Neural Networks. 91–102. 4 indexed citations
20.
Rolls, Edmund T., Nikolaos C. Aggelopoulos, Leonardo Franco, & Alessandro Treves. (2004). Information encoding in the inferior temporal visual cortex: contributions of the firing rates and the correlations between the firing of neurons. Biological Cybernetics. 90(1). 19–32. 39 indexed citations

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.

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