Eleonora Grassucci

406 total citations
25 papers, 227 citations indexed

About

Eleonora Grassucci is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Eleonora Grassucci has authored 25 papers receiving a total of 227 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 7 papers in Signal Processing. Recurrent topics in Eleonora Grassucci's work include Neural Networks and Applications (5 papers), Generative Adversarial Networks and Image Synthesis (4 papers) and Music and Audio Processing (4 papers). Eleonora Grassucci is often cited by papers focused on Neural Networks and Applications (5 papers), Generative Adversarial Networks and Image Synthesis (4 papers) and Music and Audio Processing (4 papers). Eleonora Grassucci collaborates with scholars based in Italy, Australia and United Kingdom. Eleonora Grassucci's co-authors include Danilo Comminiello, Aurelio Uncini, Aston Zhang, M. Andrea Rodríguez, C. Marinoni, Sergio Barbarossa, Paolo Di Lorenzo, Stefania Sardellitti, Yuki Mitsufuji and Jihong Park and has published in prestigious journals such as IEEE Communications Magazine, BMC Public Health and IEEE Signal Processing Magazine.

In The Last Decade

Eleonora Grassucci

23 papers receiving 216 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eleonora Grassucci Italy	10	103	75	42	36	19	25	227
Zhijian Yuan China	4	50 0.5×	39 0.5×	96 2.3×	46 1.3×	5 0.3×	10	198
Jiaji Huang United States	9	191 1.9×	78 1.0×	31 0.7×	15 0.4×	15 0.8×	24	320
Shuhua Huang China	8	61 0.6×	30 0.4×	111 2.6×	54 1.5×	6 0.3×	24	264
Wataru Kameyama Japan	11	63 0.6×	106 1.4×	31 0.7×	53 1.5×	6 0.3×	71	368
Luis G. Sánchez Giraldo United States	7	79 0.8×	55 0.7×	19 0.5×	74 2.1×	20 1.1×	20	208
Anil Kumar Tiwari India	9	36 0.3×	178 2.4×	45 1.1×	29 0.8×	6 0.3×	56	269
Thomas Kolenda Denmark	7	92 0.9×	44 0.6×	115 2.7×	133 3.7×	30 1.6×	8	306
Khaled Saab United States	10	52 0.5×	16 0.2×	19 0.5×	46 1.3×	11 0.6×	18	258

Countries citing papers authored by Eleonora Grassucci

Since Specialization

Citations

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

Fields of papers citing papers by Eleonora Grassucci

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eleonora Grassucci

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

All Works

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20 of 20 papers shown

Grassucci, Eleonora, et al.. (2025). Lightweight Diffusion Models for Resource-Constrained Semantic Communication. IEEE Wireless Communications Letters. 14(9). 2743–2747. 1 indexed citations

Grassucci, Eleonora, et al.. (2025). Optimal fusion β -quaternion filtering from delayed observations and packet losses with compensation strategy under properness. Systems Science & Control Engineering. 13(1). 1 indexed citations

Grassucci, Eleonora, C. Marinoni, M. Andrea Rodríguez, & Danilo Comminiello. (2024). Diffusion Models for Audio Semantic Communication. IRIS Research product catalog (Sapienza University of Rome). 13136–13140. 26 indexed citations

Zhang, Ping, Zhaoyang Zhang, Kai Niu, et al.. (2024). Semantic communications: Theories, technologies and applications. China Communications. 21(7). iii–vii. 2 indexed citations

Comminiello, Danilo, Eleonora Grassucci, Danilo P. Mandic, & Aurelio Uncini. (2024). Demystifying the Hypercomplex: Inductive biases in hypercomplex deep learning. IEEE Signal Processing Magazine. 41(3). 59–71. 4 indexed citations

Grassucci, Eleonora, et al.. (2024). Attention-map augmentation for hypercomplex breast cancer classification. Pattern Recognition Letters. 182. 140–146. 12 indexed citations

Grassucci, Eleonora, et al.. (2024). Language-Oriented Semantic Latent Representation for Image Transmission. IRIS Research product catalog (Sapienza University of Rome). 1–6. 13 indexed citations

Grassucci, Eleonora, et al.. (2024). Towards Explaining Hypercomplex Neural Networks. IRIS Research product catalog (Sapienza University of Rome). 1–8. 4 indexed citations

Grassucci, Eleonora, et al.. (2024). Enhancing Semantic Communication with Deep Generative Models: An Overview. IRIS Research product catalog (Sapienza University of Rome). 13021–13025. 6 indexed citations

10.

Choi, Jinho, Jihong Park, Eleonora Grassucci, & Danilo Comminiello. (2024). Semantic Communication Challenges: Understanding Dos and Avoiding Don'ts. IRIS Research product catalog (Sapienza University of Rome). 1–5.

11.

Grassucci, Eleonora, et al.. (2023). Dual Quaternion Rotational and Translational Equivariance in 3D Rigid Motion Modelling. IRIS Research product catalog (Sapienza University of Rome). 1–6. 4 indexed citations

12.

Parisi, Lorenza, Francesca Comunello, Luisa Russo, et al.. (2023). Exploring the vaccine conversation on TikTok in Italy: beyond classic vaccine stances. BMC Public Health. 23(1). 880–880. 5 indexed citations

13.

Grassucci, Eleonora, et al.. (2023). Hypercomplex Multimodal Emotion Recognition from EEG and Peripheral Physiological Signals. IRIS Research product catalog (Sapienza University of Rome). 1–5. 11 indexed citations

14.

Grassucci, Eleonora, et al.. (2023). StawGAN: Structural-Aware Generative Adversarial Networks for Infrared Image Translation. IRIS Research product catalog (Sapienza University of Rome). 1–5. 9 indexed citations

15.

Grassucci, Eleonora, et al.. (2023). GROUSE: A Task and Model Agnostic Wavelet- Driven Framework for Medical Imaging. IEEE Signal Processing Letters. 30. 1397–1401. 7 indexed citations

16.

Barbarossa, Sergio, et al.. (2023). Semantic Communications Based on Adaptive Generative Models and Information Bottleneck. IEEE Communications Magazine. 61(11). 36–41. 18 indexed citations

17.

Grassucci, Eleonora, et al.. (2022). Dual quaternion ambisonics array for six-degree-of-freedom acoustic representation. Pattern Recognition Letters. 166. 24–30. 12 indexed citations

18.

Grassucci, Eleonora, Aston Zhang, & Danilo Comminiello. (2022). PHNNs: Lightweight Neural Networks via Parameterized Hypercomplex Convolutions. IEEE Transactions on Neural Networks and Learning Systems. 35(6). 8293–8305. 29 indexed citations

19.

Grassucci, Eleonora, Danilo Comminiello, & Aurelio Uncini. (2021). A quaternion-valued variational autoencoder. IRIS Research product catalog (Sapienza University of Rome). 17 indexed citations

20.

Grassucci, Eleonora, Danilo Comminiello, & Aurelio Uncini. (2021). An Information-Theoretic Perspective on Proper Quaternion Variational Autoencoders. Entropy. 23(7). 856–856. 14 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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