Fernando Aguirre

1.8k citations
56 papers · 571 indexed · 1 hit paper · h-index 12
Topics
Advanced Memory and Neural Computing (35 papers)Semiconductor materials and devices (28 papers)Ferroelectric and Negative Capacitance Devices (21 papers)
Journals
NatureAdvanced MaterialsSHILAP Revista de lepidopterología
Partner nations
ArgentinaSpainChina

In The Last Decade

Fernando Aguirre

48 papers receiving 559 citations

Hit Papers

The growing memristor industry202520262025102030

Peers

Fernando Aguirre
Comparison fields: 5 of 48
  • Electrical and Electronic Engineering 493
  • Cellular and Molecular Neuroscience 143
  • Materials Chemistry 141
  • Polymers and Plastics 60
  • Biomedical Engineering 46
Replace Sebastián Pazos with:
Sebastián Pazos Argentina
Zhuorui Wang China
Alexander Hardtdegen Germany
Quentin Rafhay France
Damien Deleruyelle France
Shaochuan Chen China
Jacopo Frascaroli Italy
Christian Walczyk Germany
Rohit Soni Germany
Fernando Aguirre relative to Sebastián Pazos Argentina Sebastián Pazos's profile →
Citations per field
00.5×1.6×
Sebastián Pazos · 1×
Citations per year

Countries citing papers authored by Fernando Aguirre

Since Specialization
Citations

This map shows the geographic impact of Fernando Aguirre'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 Aguirre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Aguirre more than expected).

Fields of papers citing papers by Fernando Aguirre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fernando Aguirre. 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 Aguirre. The network helps show where Fernando Aguirre may publish in the future.

Co-authorship network of co-authors of Fernando Aguirre

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Aguirre. A scholar is included among the top collaborators of Fernando Aguirre 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 Aguirre. Fernando Aguirre 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
#WorkIndexed citations
1 0
2 0
3 6
4
The growing memristor industrybreakdown →
35
5 2
6 9
7 0
8 1
9 8
10 1
11 5
12 15
13 3
14 2
15 9
16 2
17 1
18 1
19 4
20
Guía para la conservación y seguimiento ambiental de humedales andinos
3

About Fernando Aguirre

Fernando Aguirre is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering and Hardware and Architecture, having authored 56 papers that have together received 571 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (35 papers), Semiconductor materials and devices (28 papers) and Ferroelectric and Negative Capacitance Devices (21 papers). The work is most often cited by research in Electrical and Electronic Engineering (493 citations), Cellular and Molecular Neuroscience (143 citations) and Polymers and Plastics (60 citations). Fernando Aguirre has collaborated with scholars based in Argentina, Spain and China. Frequent co-authors include Sebastián Pazos, Félix Palumbo, Mario Lanza, E. Miranda, M. Eizenberg, S. Lombardo, Fei Hui, J. Suñé, Chao Wen and J.B. Roldán. Their work appears in journals such as Nature, Advanced Materials and SHILAP Revista de lepidopterología.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026