Giovanni Danese

616 total citations
66 papers, 458 citations indexed

About

Giovanni Danese is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Giovanni Danese has authored 66 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Electrical and Electronic Engineering, 15 papers in Computer Vision and Pattern Recognition and 15 papers in Biomedical Engineering. Recurrent topics in Giovanni Danese's work include Remote-Sensing Image Classification (9 papers), Advanced Memory and Neural Computing (8 papers) and Parallel Computing and Optimization Techniques (8 papers). Giovanni Danese is often cited by papers focused on Remote-Sensing Image Classification (9 papers), Advanced Memory and Neural Computing (8 papers) and Parallel Computing and Optimization Techniques (8 papers). Giovanni Danese collaborates with scholars based in Italy, Spain and United States. Giovanni Danese's co-authors include Francesco Leporati, Emanuele Torti, Antonio Plaza, Giordana Florimbi, Sara Rampazzi, F. Marabelli, Gustavo M. Callicó, Samuel Ortega, Himar Fabelo and Stefano Ramat and has published in prestigious journals such as IEEE Access, Sensors and Computer Physics Communications.

In The Last Decade

Giovanni Danese

61 papers receiving 437 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Giovanni Danese Italy 11 121 113 105 73 68 66 458
Eduardo Juárez Spain 12 67 0.6× 96 0.8× 237 2.3× 88 1.2× 102 1.5× 79 551
Chengcai Leng China 14 84 0.7× 96 0.8× 303 2.9× 26 0.4× 83 1.2× 62 574
Habibollah Danyali Iran 17 43 0.4× 117 1.0× 408 3.9× 33 0.5× 78 1.1× 82 693
Thomas P. Weldon United States 12 94 0.8× 117 1.0× 294 2.8× 103 1.4× 47 0.7× 63 603
L.W. Cahill Australia 8 58 0.5× 127 1.1× 280 2.7× 111 1.5× 39 0.6× 38 544
Jing Qin United States 10 79 0.7× 113 1.0× 240 2.3× 50 0.7× 55 0.8× 53 512
Michał Marcinkiewicz France 9 44 0.4× 106 0.9× 149 1.4× 94 1.3× 92 1.4× 19 545
Qinwei Xu China 10 62 0.5× 63 0.6× 271 2.6× 99 1.4× 58 0.9× 19 598
Wenfei Cao China 13 102 0.8× 244 2.2× 343 3.3× 40 0.5× 71 1.0× 21 733
Dahua Gao China 11 165 1.4× 184 1.6× 251 2.4× 46 0.6× 41 0.6× 48 504

Countries citing papers authored by Giovanni Danese

Since Specialization
Citations

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

Fields of papers citing papers by Giovanni Danese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giovanni Danese

This figure shows the co-authorship network connecting the top 25 collaborators of Giovanni Danese. A scholar is included among the top collaborators of Giovanni Danese 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 Giovanni Danese. Giovanni Danese 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.
Danese, Giovanni, et al.. (2024). Artificial Intelligence for the Evaluation of Postures Using Radar Technology: A Case Study. Sensors. 24(19). 6208–6208. 1 indexed citations
2.
Torti, Emanuele, et al.. (2024). Edge and cloud computing approaches in the early diagnosis of skin cancer with attention-based vision transformer through hyperspectral imaging. The Journal of Supercomputing. 80(11). 16368–16392. 4 indexed citations
4.
Torti, Emanuele, et al.. (2023). Spatial–Spectral Feature Extraction With Local Covariance Matrix From Hyperspectral Images Through Hybrid Parallelization. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 16. 7412–7421. 9 indexed citations
5.
Torti, Emanuele, et al.. (2023). Ambient assisted living for frail people through human activity recognition: state-of-the-art, challenges and future directions. Frontiers in Neuroscience. 17. 14 indexed citations
6.
Torti, Emanuele, Gianmarco Secco, Francesco Salinaro, et al.. (2022). Machine-Learning-Based COVID-19 and Dyspnoea Prediction Systems for the Emergency Department. Applied Sciences. 12(21). 10869–10869. 2 indexed citations
7.
Torti, Emanuele, et al.. (2022). Towards the Simulation of a Realistic Large-Scale Spiking Network on a Desktop Multi-GPU System. Bioengineering. 9(10). 543–543. 1 indexed citations
8.
Florimbi, Giordana, Himar Fabelo, Emanuele Torti, et al.. (2020). Towards Real-Time Computing of Intraoperative Hyperspectral Imaging for Brain Cancer Detection Using Multi-GPU Platforms. IEEE Access. 8. 8485–8501. 36 indexed citations
9.
Fabelo, Himar, Samuel Ortega, Giordana Florimbi, et al.. (2019). High-Level Synthesis of Multiclass SVM Using Code Refactoring to Classify Brain Cancer from Hyperspectral Images. Electronics. 8(12). 1494–1494. 8 indexed citations
10.
Torti, Emanuele, et al.. (2019). High Speed Wireless Optical System for Motorsport Data Loggers. Electronics. 8(8). 873–873.
11.
Florimbi, Giordana, Himar Fabelo, Emanuele Torti, et al.. (2018). Accelerating the K-Nearest Neighbors Filtering Algorithm to Optimize the Real-Time Classification of Human Brain Tumor in Hyperspectral Images. Sensors. 18(7). 2314–2314. 30 indexed citations
12.
D’Angelo, Egidio, Giovanni Danese, Giordana Florimbi, et al.. (2015). The Human Brain Project: High Performance Computing for Brain Cells Hw/Sw Simulation and Understanding. 3. 740–747. 7 indexed citations
13.
Rudić, Milan, et al.. (2014). The lack of 4-hydroxynonenal in otosclerotic bone tissue in Ethiopian population. European Archives of Oto-Rhino-Laryngology. 272(10). 2783–2789. 1 indexed citations
14.
Rampazzi, Sara, Francesco Leporati, Giovanni Danese, et al.. (2013). A novel portable surface plasmon resonance based imaging instrument for on-site multi-analyte detection. Federated Conference on Computer Science and Information Systems. 619–626. 1 indexed citations
15.
Danese, Giovanni, et al.. (2011). An embedded multi-core biometric identification system. Microprocessors and Microsystems. 35(5). 510–521. 9 indexed citations
16.
Danese, Giovanni, et al.. (2010). A Video Elaboration System for Image Deinterlacing and Processing in Race Cars. IEEE Embedded Systems Letters. 2(2). 27–30. 1 indexed citations
17.
Danese, Giovanni, et al.. (2002). Automatic synthesis of digital circuits from flow-charts. 13. 117–120. 1 indexed citations
19.
Danese, Giovanni, et al.. (2001). Flow Rate Profiler: an instrument to measure blood velocity profiles. Ultrasonics. 39(2). 143–150. 5 indexed citations
20.
Danese, Giovanni, et al.. (1997). Simulation of poly-electrolyte solutions on a parallel dedicated system.. 148(Pt 1). 468–476. 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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