G. Liñán

68 papers receiving 1.1k citations

Peers

G. Liñán
Comparison fields: 5 of 88
  • Computer Networks and Communications 295
  • Ecology, Evolution, Behavior and Systematics 218
  • Electrical and Electronic Engineering 494
  • Media Technology 69
  • Nature and Landscape Conservation 95
Replace Charles R. Giardina with:
Charles R. Giardina United States
Gilles Caprari Switzerland
Stefan C. Kremer Canada
G. Taylor United States
Ioannis G. Karafyllidis Greece
Christophe De Wagter Netherlands
Ralf Möller Germany
Mark A. O’Neill United Kingdom
Matthias Franz Germany
Jenni Raitoharju Finland
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Citations per year

Countries citing papers authored by G. Liñán

Since Specialization
Citations

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

Fields of papers citing papers by G. Liñán

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside G. Liñán, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with G. Liñán Line = papers co-authored together G. Liñán links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017169
2 2004160
3 201694
4 200262
5 200461
6 200343
7 200242
8 201641
9
ACE16k: A Programmable Focal Plane Vision Processor with 128 x 128 Resolution
200136
10 201830
11 201430
12
ACE16K: An advanced focal-plane analog programmable array processor
200121
13 200221
14 200520
15 201219
16 201816
17 200216
18 201715
19 199713
20 200812

About G. Liñán

G. Liñán is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Computer Networks and Communications, Aerospace Engineering and Cellular and Molecular Neuroscience, having authored 75 papers that have together received 1.1k indexed citations. Recurring topics across this work include CCD and CMOS Imaging Sensors (43 papers), Advanced Memory and Neural Computing (33 papers), Analog and Mixed-Signal Circuit Design (16 papers), Neural Networks Stability and Synchronization (11 papers), Neuroscience and Neural Engineering (9 papers), Infrared Target Detection Methodologies (9 papers), Avian ecology and behavior (9 papers) and Image Processing Techniques and Applications (7 papers). The work is most often cited by research in Computer Networks and Communications (295 citations), Ecology, Evolution, Behavior and Systematics (218 citations), Electrical and Electronic Engineering (494 citations), Media Technology (69 citations) and Nature and Landscape Conservation (95 citations). G. Liñán has collaborated with scholars based in Spain, Hungary and United Kingdom. Frequent co-authors include Á. Rodríguez‐Vázquez, R. Domínguez‐Castro, S. Espejo, Luis J. Gilarranz, E. Roca, Bronwyn Rayfield, Andrew Gonzalez, Jordi Bascompte, F. Jiménez-Garrido and Jesús Gómez. Their work appears in journals such as Analog Integrated Circuits and Signal Processing, PeerJ, International Journal of Circuit Theory and Applications, Behavioral Ecology and Sociobiology and IEEE Transactions on Circuits and Systems I Regular Papers.

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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