Aurora Saibene

475 total citations
15 papers, 251 citations indexed

About

Aurora Saibene is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Aurora Saibene has authored 15 papers receiving a total of 251 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 5 papers in Artificial Intelligence and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Aurora Saibene's work include EEG and Brain-Computer Interfaces (7 papers), Advanced Memory and Neural Computing (3 papers) and Hate Speech and Cyberbullying Detection (3 papers). Aurora Saibene is often cited by papers focused on EEG and Brain-Computer Interfaces (7 papers), Advanced Memory and Neural Computing (3 papers) and Hate Speech and Cyberbullying Detection (3 papers). Aurora Saibene collaborates with scholars based in Italy, Canada and Türkiye. Aurora Saibene's co-authors include Francesca Gasparini, Elisabetta Fersini, Paolo Rosso, Silvia Corchs, Jeffrey Sorensen, Alyssa Lees, Berta Chulvi, N. Alberto Borghese, Marcello Gallucci and Riccardo Borgoni and has published in prestigious journals such as Expert Systems with Applications, Sensors and Neurocomputing.

In The Last Decade

Aurora Saibene

11 papers receiving 234 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Aurora Saibene Italy	9	130	63	47	38	23	15	251
Roberto Legaspi Japan	9	69 0.5×	128 2.0×	23 0.5×	51 1.3×	14 0.6×	46	292
Cong Yin China	11	38 0.3×	94 1.5×	24 0.5×	43 1.1×	13 0.6×	32	254
Muhammad Afzaal Sweden	10	177 1.4×	105 1.7×	64 1.4×	5 0.1×	48 2.1×	17	390
Koichi Moriyama Japan	10	59 0.5×	163 2.6×	20 0.4×	34 0.9×	6 0.3×	45	318
Aamir Anwar United Kingdom	11	87 0.7×	73 1.2×	19 0.4×	9 0.2×	42 1.8×	30	310
Fengrui Zhang China	10	36 0.3×	49 0.8×	10 0.2×	21 0.6×	23 1.0×	34	264
Federico Mancini Norway	8	112 0.9×	101 1.6×	27 0.6×	31 0.8×	53 2.3×	37	402
Jonathan Sorg United States	8	232 1.8×	79 1.3×	26 0.6×	27 0.7×	5 0.2×	8	357
Stéfan Sinclair Canada	8	122 0.9×	45 0.7×	29 0.6×	12 0.3×	30 1.3×	47	303
Juan Miguel López Spain	9	55 0.4×	51 0.8×	12 0.3×	27 0.7×	61 2.7×	35	250

Countries citing papers authored by Aurora Saibene

Since Specialization

Citations

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

Fields of papers citing papers by Aurora Saibene

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aurora Saibene

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

All Works

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15 of 15 papers shown

Saibene, Aurora, et al.. (2024). Deep learning in motor imagery EEG signal decoding: A Systematic Review. Neurocomputing. 610. 128577–128577. 14 indexed citations

Saibene, Aurora, et al.. (2024). DL-based multi-artifact EEG denoising exploiting spectral information. BOA (University of Milano-Bicocca). 18(1). 89–102.

Saibene, Aurora, et al.. (2024). A Concept Design for a Positive Mood Supporting Application. BOA (University of Milano-Bicocca). 1–7.

Saibene, Aurora, et al.. (2023). EEG-based BCIs on Motor Imagery Paradigm Using Wearable Technologies: A Systematic Review. Preprints.org. 9 indexed citations

Gasparini, Francesca, et al.. (2023). Recognizing misogynous memes: Biased models and tricky archetypes. Information Processing & Management. 60(5). 103474–103474. 11 indexed citations

Saibene, Aurora, et al.. (2023). Deep Learning in Motor Imagery Eeg Signal Decoding: A Systematic Review. SSRN Electronic Journal.

Saibene, Aurora, et al.. (2023). EEG-Based BCIs on Motor Imagery Paradigm Using Wearable Technologies: A Systematic Review. Sensors. 23(5). 2798–2798. 25 indexed citations

Saibene, Aurora & Francesca Gasparini. (2023). Genetic algorithm for feature selection of EEG heterogeneous data. Expert Systems with Applications. 217. 119488–119488. 17 indexed citations

Gasparini, Francesca, et al.. (2022). Benchmark dataset of memes with text transcriptions for automatic detection of multi-modal misogynistic content. Data in Brief. 44. 108526–108526. 18 indexed citations

10.

Fersini, Elisabetta, Francesca Gasparini, Aurora Saibene, et al.. (2022). SemEval-2022 Task 5: Multimedia Automatic Misogyny Identification. BOA (University of Milano-Bicocca). 533–549. 73 indexed citations

11.

Saibene, Aurora, et al.. (2021). Expert systems: Definitions, advantages and issues in medical field applications. Expert Systems with Applications. 177. 114900–114900. 70 indexed citations

12.

Saibene, Aurora & Francesca Gasparini. (2020). Human-Machine Interaction: EEG Electrode and Feature Selection Exploiting Evolutionary Algorithms in Motor Imagery Tasks. BOA (University of Milano-Bicocca). 8–14. 1 indexed citations

13.

Saibene, Aurora, et al.. (2020). Addressing digital divide and elderly acceptance of medical expert systems for healthy ageing. BOA (University of Milano-Bicocca). 2804. 14–24. 3 indexed citations

14.

Berlingeri, Manuela, Francesca Gasparini, Aurora Saibene, et al.. (2019). Clustering the Brain With “CluB”: A New Toolbox for Quantitative Meta-Analysis of Neuroimaging Data. Frontiers in Neuroscience. 13. 1037–1037. 10 indexed citations

15.

Saibene, Aurora, Silvia Corchs, Roberta Daini, Alessio Facchin, & Francesca Gasparini. (2018). EEG Data of Face Recognition in Case of Biological Compatible Changes: A Pilot Study on Healthy People. INFM-OAR (INFN Catania). 580–586.

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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