F. Jiménez-Garrido

499 citations
16 papers · 286 indexed · h-index 6
Topics
CCD and CMOS Imaging Sensors (13 papers)Advanced Memory and Neural Computing (13 papers)Neuroscience and Neural Engineering (6 papers)
Journals
IEEE Journal of Solid-State CircuitsInternational Journal of Neural SystemsJournal of Circuits Systems and Computers
Partner nations
SpainHungary

In The Last Decade

F. Jiménez-Garrido

15 papers receiving 274 citations

Peers

F. Jiménez-Garrido
Comparison fields: 5 of 36
  • Electrical and Electronic Engineering 210
  • Computer Networks and Communications 122
  • Artificial Intelligence 56
  • Computational Theory and Mathematics 50
  • Cellular and Molecular Neuroscience 49
Replace C. Rekeczky with:
C. Rekeczky Hungary
Jussi Poikonen Finland
Christopher M. Twigg United States
Frank Z. Wang United Kingdom
T.G. Clarkson United Kingdom
Pengfei He China
Craig Schlottmann United States
Yuxiang Fu China
Pål Anders Floor Norway
Brian Degnan United States
F. Jiménez-Garrido relative to C. Rekeczky Hungary C. Rekeczky's profile →
Citations per field
00.5×
C. Rekeczky · 1×
Citations per year

Countries citing papers authored by F. Jiménez-Garrido

Since Specialization
Citations

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

Fields of papers citing papers by F. Jiménez-Garrido

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F. Jiménez-Garrido. 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 F. Jiménez-Garrido. The network helps show where F. Jiménez-Garrido may publish in the future.

Co-authorship network of co-authors of F. Jiménez-Garrido

This figure shows the co-authorship network connecting the top 25 collaborators of F. Jiménez-Garrido. A scholar is included among the top collaborators of F. Jiménez-Garrido 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 F. Jiménez-Garrido. F. Jiménez-Garrido is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 0
2 3
3 2
4 1
5 9
6 161
7 8
8 5
9 60
10 4
11 5
12 10
13 2
14 8
15
A CMOS analog parallel array processor chip with programmable dynamics for early vision tasks
5
16 3

About F. Jiménez-Garrido

F. Jiménez-Garrido is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering and Bioengineering, having authored 16 papers that have together received 286 indexed citations. Recurring topics across this work include CCD and CMOS Imaging Sensors (13 papers), Advanced Memory and Neural Computing (13 papers) and Neuroscience and Neural Engineering (6 papers). The work is most often cited by research in Computer Networks and Communications (122 citations), Media Technology (35 citations) and Electrical and Electronic Engineering (210 citations). F. Jiménez-Garrido has collaborated with scholars based in Spain and Hungary. Frequent co-authors include Á. Rodríguez‐Vázquez, S. Espejo, R. Domínguez‐Castro, G. Liñán, Ricardo Carmona‐Galán, E. Roca, Tamás Roska, Csaba Rekeczky, F. Medeiro and Alexandre Charlet. Their work appears in journals such as IEEE Journal of Solid-State Circuits, International Journal of Neural Systems and Journal of Circuits Systems and Computers.

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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