D. Garabato

19.7k total citations
10 papers, 25 citations indexed

About

D. Garabato is a scholar working on Signal Processing, Artificial Intelligence and Information Systems. According to data from OpenAlex, D. Garabato has authored 10 papers receiving a total of 25 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Signal Processing, 4 papers in Artificial Intelligence and 3 papers in Information Systems. Recurrent topics in D. Garabato's work include User Authentication and Security Systems (3 papers), Advanced Malware Detection Techniques (3 papers) and Time Series Analysis and Forecasting (2 papers). D. Garabato is often cited by papers focused on User Authentication and Security Systems (3 papers), Advanced Malware Detection Techniques (3 papers) and Time Series Analysis and Forecasting (2 papers). D. Garabato collaborates with scholars based in Spain. D. Garabato's co-authors include Carlos Dafonte, M. Manteiga, M. A. Álvarez, Francisco J. Nóvoa, A. Silvelo, Diego Fustes, R. Santoveña, B. Arcay and Diego Fernández and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Neural Computing and Applications.

In The Last Decade

D. Garabato

9 papers receiving 23 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
D. Garabato Spain	4	10	6	5	4	4	10	25
T. Lazovich United States	4	8 0.8×	9 1.5×	5 1.0×	1 0.3×	3 0.8×	9	36
Thinh Dang United States	3	16 1.6×	7 1.2×	4 0.8×		3 0.8×	4	30
Christina Lee United States	3	7 0.7×	4 0.7×	3 0.6×		4 1.0×	4	22
I. Ojalvo United States	3	17 1.7×	3 0.5×	2 0.4×	2 0.5×	7 1.8×	4	38
J. Yin United States	3	6 0.6×	3 0.5×	2 0.4×	2 0.5×	7 1.8×	5	22
Rebecca L. Russell United States	5	10 1.0×	8 1.3×	6 1.2×	1 0.3×	3 0.8×	7	32
L. C. Schwardt South Africa	3	7 0.7×	2 0.3×	5 1.0×	2 0.5×	4 1.0×	7	16
A. Ashkenazi Canada	2	7 0.7×	3 0.5×	3 0.6×		3 0.8×	2	14
L. Ren China	3	8 0.8×	3 0.5×	4 0.8×		6 1.5×	5	27
Walter Allasia Italy	4	7 0.7×	11 1.8×	5 1.0×	3 0.8×	20 5.0×	13	38

Countries citing papers authored by D. Garabato

Since Specialization

Citations

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

Fields of papers citing papers by D. Garabato

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Garabato

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

All Works

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10 of 10 papers shown

1.

Garabato, D., Carlos Dafonte, R. Santoveña, et al.. (2022). AI-based user authentication reinforcement by continuous extraction of behavioral interaction features. Neural Computing and Applications. 34(14). 11691–11705. 4 indexed citations

2.

Álvarez, M. A., Carlos Dafonte, M. Manteiga, D. Garabato, & R. Santoveña. (2021). GUASOM: an adaptive visualization tool for unsupervised clustering in spectrophotometric astronomical surveys. Neural Computing and Applications. 34(3). 1993–2006. 4 indexed citations

3.

Silvelo, A., D. Garabato, R. Santoveña, & Carlos Dafonte. (2020). A First Approach to Authentication Based on Artificial Intelligence for Touch-Screen Devices. SHILAP Revista de lepidopterología. 1–1.

4.

Garabato, D., et al.. (2019). Mouse Behavior Analysis Based on Artificial Intelligence as a Second-Phase Authentication System. SHILAP Revista de lepidopterología. 29–29. 3 indexed citations

5.

Dafonte, Carlos, et al.. (2019). Network Data Flow Clustering based on Unsupervised Learning. RUC (Universidade Da Coruña). 71. 1–5. 1 indexed citations

6.

Dafonte, Carlos, et al.. (2018). Network Data Unsupervised Clustering to Anomaly Detection. SHILAP Revista de lepidopterología. 1173–1173. 1 indexed citations

7.

Dafonte, Carlos, D. Garabato, M. A. Álvarez, & M. Manteiga. (2018). Distributed Fast Self-Organized Maps for Massive Spectrophotometric Data Analysis †. Sensors. 18(5). 1419–1419. 6 indexed citations

8.

Garabato, D., et al.. (2017). Guasom Analysis Of The Alhambra Survey. Zenodo (CERN European Organization for Nuclear Research). 16. 1 indexed citations

9.

Garabato, D., et al.. (2015). A distributed learning algorithm for Self-Organizing Maps intended for outlier analysis in the GAIA – ESA mission. Advances in intelligent systems research. 4 indexed citations

10.

Fustes, Diego, M. Manteiga, Carlos Dafonte, et al.. (2014). GUASOM: Gaia Utility for Analysis and Knowledge Discovery based on Self Organizing Maps. EAS Publications Series. 67-68. 373–373. 1 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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