Fernando Perez‐Peña
- Electrical and Electronic Engineering
- Cognitive Neuroscience top 10%
- Cellular and Molecular Neuroscience
- Artificial Intelligence
- Biomedical Engineering
- Co-authors
- Alejandro Linares-BarrancoÁngel Jiménez-FernándezArturo Morgado‐EstévezG. JiménezElisabetta ChiccaJuan P. Dominguez‐MoralesF. Gómez-RodríguezDaniel Gutiérrez-Galán
- Topics
- Advanced Memory and Neural Computing (27 papers)Neuroscience and Neural Engineering (22 papers)Neural dynamics and brain function (16 papers)
- Cited by
- Cellular and Molecular NeuroscienceCognitive NeuroscienceElectrical and Electronic Engineering
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessSensors
- Partner nations
- SpainGermanySwitzerland
In The Last Decade
Fernando Perez‐Peña
38 papers receiving 288 citations
Peers
Comparison fields: 5 of 59
- Electrical and Electronic Engineering 224
- Cognitive Neuroscience 113
- Cellular and Molecular Neuroscience 109
- Artificial Intelligence 49
- Biomedical Engineering 31
Countries citing papers authored by Fernando Perez‐Peña
This map shows the geographic impact of Fernando Perez‐Peña'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 Fernando Perez‐Peña with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Perez‐Peña more than expected).
Fields of papers citing papers by Fernando Perez‐Peña
This network shows the impact of papers produced by Fernando Perez‐Peña. 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 Fernando Perez‐Peña. The network helps show where Fernando Perez‐Peña may publish in the future.
Co-authorship network of co-authors of Fernando Perez‐Peña
This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Perez‐Peña. A scholar is included among the top collaborators of Fernando Perez‐Peña 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 Fernando Perez‐Peña. Fernando Perez‐Peña is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 11 | |
| 10 | 1 | |
| 11 | 3 | |
| 12 | 4 | |
| 13 | 14 | |
| 14 | 11 | |
| 15 | 42 | |
| 16 | 7 | |
| 17 | 12 | |
| 18 | Application of robot programming to the teaching of object-oriented computer languages | 8 |
| 19 | 3 | |
| 20 | 3 |
About Fernando Perez‐Peña
Fernando Perez‐Peña is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Electrical and Electronic Engineering, having authored 40 papers that have together received 295 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (27 papers), Neuroscience and Neural Engineering (22 papers) and Neural dynamics and brain function (16 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (109 citations), Cognitive Neuroscience (113 citations) and Electrical and Electronic Engineering (224 citations). Fernando Perez‐Peña has collaborated with scholars based in Spain, Germany and Switzerland. Frequent co-authors include Alejandro Linares-Barranco, Ángel Jiménez-Fernández, Arturo Morgado‐Estévez, G. Jiménez, Elisabetta Chicca, Juan P. Dominguez‐Morales, F. Gómez-Rodríguez, Daniel Gutiérrez-Galán, J. López-Coronado and Pedro L. Galindo. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.
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.