Eduardo Serrano

1.1k total citations
52 papers, 828 citations indexed

About

Eduardo Serrano is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Cognitive Neuroscience. According to data from OpenAlex, Eduardo Serrano has authored 52 papers receiving a total of 828 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Atomic and Molecular Physics, and Optics, 12 papers in Electrical and Electronic Engineering and 11 papers in Cognitive Neuroscience. Recurrent topics in Eduardo Serrano's work include Neural dynamics and brain function (9 papers), Advanced Fiber Laser Technologies (8 papers) and Complex Systems and Time Series Analysis (8 papers). Eduardo Serrano is often cited by papers focused on Neural dynamics and brain function (9 papers), Advanced Fiber Laser Technologies (8 papers) and Complex Systems and Time Series Analysis (8 papers). Eduardo Serrano collaborates with scholars based in Spain, Argentina and United Kingdom. Eduardo Serrano's co-authors include A. Figliola, Osvaldo A. Rosso, Rodrigo Quian Quiroga, S. Blanco, F. Agulló‐López, M. Carrascosa, Francisco B. Rodrı́guez, Pablo Varona, Vicente López and David Domínguez and has published in prestigious journals such as Applied Physics Letters, Scientific Reports and Optics Letters.

In The Last Decade

Eduardo Serrano

46 papers receiving 790 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eduardo Serrano Spain 16 187 174 153 132 129 52 828
Douglas G. Kelly United States 11 210 1.1× 88 0.5× 52 0.3× 17 0.1× 121 0.9× 22 857
Michail Zak United States 17 198 1.1× 67 0.4× 172 1.1× 89 0.7× 332 2.6× 126 1.3k
Alireza Bahraminasab Iran 15 100 0.5× 67 0.4× 302 2.0× 105 0.8× 129 1.0× 25 727
Quang M. Tieng Australia 14 186 1.0× 108 0.6× 30 0.2× 67 0.5× 25 0.2× 56 816
Cécile Appert-Rolland France 21 59 0.3× 26 0.1× 189 1.2× 37 0.3× 493 3.8× 52 1.6k
G. Ambika India 17 131 0.7× 36 0.2× 45 0.3× 179 1.4× 507 3.9× 82 1.0k
P.S. Lewis United States 15 1.1k 5.8× 191 1.1× 120 0.8× 32 0.2× 32 0.2× 55 2.0k
D. G. Luchinsky United Kingdom 26 277 1.5× 107 0.6× 315 2.1× 66 0.5× 1.4k 10.9× 138 2.0k
Karsten Keller Germany 19 297 1.6× 38 0.2× 18 0.1× 443 3.4× 452 3.5× 64 1.3k
Tijana T. Ivancevic Australia 13 79 0.4× 21 0.1× 32 0.2× 56 0.4× 147 1.1× 43 513

Countries citing papers authored by Eduardo Serrano

Since Specialization
Citations

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

Fields of papers citing papers by Eduardo Serrano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eduardo Serrano

This figure shows the co-authorship network connecting the top 25 collaborators of Eduardo Serrano. A scholar is included among the top collaborators of Eduardo Serrano 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 Eduardo Serrano. Eduardo Serrano 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.
Duprez, Joan, Eduardo Serrano, Lotfi Senhadji, et al.. (2024). Model-based Analysis of Myocardial Strains in Obstructive and Non-obstructive Hypertrophic Cardiomyopathy. Computing in cardiology. 51.
2.
Serrano, Eduardo, et al.. (2021). Intrinsic and environmental factors modulating autonomous robotic search under high uncertainty. Scientific Reports. 11(1). 24509–24509. 4 indexed citations
3.
Pérez, Darı́o G., et al.. (2013). Estimating the optimal sampling rate using wavelet transform: an application to optical turbulence. Optics Express. 21(13). 15230–15230. 2 indexed citations
4.
Serrano, Eduardo, Thomas Nowotny, Rafael Levi, Brian H. Smith, & Ramón Huerta. (2013). Gain Control Network Conditions in Early Sensory Coding. PLoS Computational Biology. 9(7). e1003133–e1003133. 16 indexed citations
5.
Serrano, Eduardo, et al.. (2013). Detection of neuronal signatures by means of data-driven tomography. BMC Neuroscience. 14(S1). 1 indexed citations
6.
Tolédano, A., et al.. (2012). Characterization of a clinical olfactory test with an artificial nose. PubMed. 5. 1–1. 46 indexed citations
7.
Rodrı́guez, Francisco B., et al.. (2012). The use of artificial neural networks in electrostatic force microscopy. Nanoscale Research Letters. 7(1). 250–250. 5 indexed citations
8.
Serrano, Eduardo, et al.. (2010). Density of finite rank operators in the Banach space of p-compact operators. Journal of Mathematical Analysis and Applications. 370(2). 498–505. 25 indexed citations
9.
Domínguez, David, Mario González, Eduardo Serrano, & Francisco B. Rodrı́guez. (2009). Structured information in small-world neural networks. Physical Review E. 79(2). 21909–21909. 12 indexed citations
10.
Oja, Eve, et al.. (2009). The p-approximation property in terms of density of finite rank operators. Journal of Mathematical Analysis and Applications. 354(1). 159–164. 27 indexed citations
11.
Figliola, A., Eduardo Serrano, John A.P. Rostas, Michael D. Hunter, & Osvaldo A. Rosso. (2007). Study of EEG Brain Maturation Signals with Multifractal Detrended Fluctuation Analysis. AIP conference proceedings. 913. 190–195. 16 indexed citations
12.
Larrondo, H.A., A. Figliola, Eduardo Serrano, et al.. (2007). Brain Maturation Changes Characterized by Algorithmic Complexity (Lempel and Ziv Complexity). AIP conference proceedings. 913. 196–202. 3 indexed citations
13.
Domínguez, David, et al.. (2007). Information and Topology in Attractor Neural Networks. Neural Computation. 19(4). 956–973. 14 indexed citations
14.
Serrano, Eduardo, et al.. (2007). Some properties and applications of equicompact sets of operators. Studia Mathematica. 181(2). 171–180. 1 indexed citations
15.
Domínguez, David, et al.. (2006). Associative Memory: Information and Topology. Research in computing science. 21. 39–48. 1 indexed citations
16.
Serrano, Eduardo, et al.. (2005). Equicompact sets of operators defined on Banach spaces. Proceedings of the American Mathematical Society. 134(3). 689–695. 7 indexed citations
17.
Piotrkowski, Rosa, et al.. (2003). Acoustic emission signal analysis in machining processes using wavelet packets. Latin American Applied Research - An international journal. 33(4). 443–448. 7 indexed citations
18.
Figliola, A. & Eduardo Serrano. (1997). Analysis of physiological time series using wavelet transforms. IEEE Engineering in Medicine and Biology Magazine. 16(3). 74–79. 46 indexed citations
19.
Serrano, Eduardo, et al.. (1995). Optimization of photorefractive recording by means of light phase-shifts. Optics Communications. 116(4-6). 398–404. 5 indexed citations
20.
Serrano, Eduardo, et al.. (1995). Effects of light phase-shifts on photorefractive kinetics: Computer simulations. Optical Materials. 4(4). 461–465. 3 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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