Lorenzo Servadei

561 total citations
52 papers, 290 citations indexed

About

Lorenzo Servadei is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Aerospace Engineering. According to data from OpenAlex, Lorenzo Servadei has authored 52 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 16 papers in Electrical and Electronic Engineering and 11 papers in Aerospace Engineering. Recurrent topics in Lorenzo Servadei's work include Advanced SAR Imaging Techniques (8 papers), Embedded Systems Design Techniques (6 papers) and Non-Invasive Vital Sign Monitoring (5 papers). Lorenzo Servadei is often cited by papers focused on Advanced SAR Imaging Techniques (8 papers), Embedded Systems Design Techniques (6 papers) and Non-Invasive Vital Sign Monitoring (5 papers). Lorenzo Servadei collaborates with scholars based in Germany, Austria and Canada. Lorenzo Servadei's co-authors include Robert Wille, Wolfgang Ecker, Souvik Hazra, Avik Santra, Manuel Pegalájar Cuéllar, Marcel Walter, Michael Stephan, Diego P. Morales, Andreas Maier and Robert Weigel and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Lorenzo Servadei

44 papers receiving 288 citations

Peers

Lorenzo Servadei
Alexandros Kouris United Kingdom
Shih‐An Li Taiwan
Dong-Hoan Seo South Korea
Yu‐Jung Huang Taiwan
Martin Ferianc United Kingdom
Suzanne Lesecq France
Jaehyuk Jang South Korea
Zhiliang Hong China
Phaklen Ehkan Malaysia
Claudio Talarico United States
Alexandros Kouris United Kingdom
Lorenzo Servadei
Citations per year, relative to Lorenzo Servadei Lorenzo Servadei (= 1×) peers Alexandros Kouris

Countries citing papers authored by Lorenzo Servadei

Since Specialization
Citations

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

Fields of papers citing papers by Lorenzo Servadei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lorenzo Servadei

This figure shows the co-authorship network connecting the top 25 collaborators of Lorenzo Servadei. A scholar is included among the top collaborators of Lorenzo Servadei 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 Lorenzo Servadei. Lorenzo Servadei 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.
Hazra, Souvik, et al.. (2025). Enhancing FMCW Radar Gesture Classification With Physically Interpretable Data Augmentation. IEEE Access. 13. 60556–60569.
2.
Hazra, Souvik, et al.. (2025). Multirange Breathing Rate Estimation With Deep Learning Using FMCW Radar. IEEE Sensors Journal. 25(11). 20015–20023. 1 indexed citations
3.
Carbonelli, Cecilia, et al.. (2025). Complying with the EU AI Act: Innovations in explainable and user-centric hand gesture recognition. Machine Learning with Applications. 20. 100655–100655.
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Stettinger, Georg, et al.. (2024). Enhanced Radar Perception via Multi-Task Learning: Towards Refined Data for Sensor Fusion Applications. 3179–3184. 5 indexed citations
7.
Hazra, Souvik, et al.. (2024). Deep Learning Classifier for Robust Artifact Rejection in FMCW Radar Vital Sensing. IEEE Sensors Journal. 25(13). 23304–23311. 1 indexed citations
8.
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Hazra, Souvik, et al.. (2023). Robust Radar-Based Vital Sensing With Adaptive Sinc Filtering and Random Body Motion Rejections. IEEE Sensors Letters. 7(5). 1–4. 11 indexed citations
10.
Will, Christoph, et al.. (2023). Continuous Non-Invasive Blood Pressure Measurement Using 60 GHz-Radar—A Feasibility Study. Sensors. 23(8). 4111–4111. 16 indexed citations
11.
Servadei, Lorenzo, et al.. (2023). Few-Shot User-Adaptable Radar-Based Breath Signal Sensing. Sensors. 23(2). 804–804. 10 indexed citations
12.
Cuéllar, Manuel Pegalájar, Carlos Cano, L. G. B. Ruiz, & Lorenzo Servadei. (2023). Time series quantum classifiers with amplitude embedding. Quantum Machine Intelligence. 5(2). 5 indexed citations
13.
Servadei, Lorenzo, et al.. (2023). Context-adaptable radar-based people counting via few-shot learning. Applied Intelligence. 53(21). 25359–25387. 3 indexed citations
14.
Stephan, Michael, Lorenzo Servadei, Jose A. Arjona-Medina, et al.. (2022). Scene-adaptive radar tracking with deep reinforcement learning. SHILAP Revista de lepidopterología. 8. 100284–100284. 10 indexed citations
15.
Servadei, Lorenzo, et al.. (2022). A Comprehensive Survey on Electronic Design Automation and Graph Neural Networks: Theory and Applications. ACM Transactions on Design Automation of Electronic Systems. 28(2). 1–27. 22 indexed citations
16.
Servadei, Lorenzo, et al.. (2022). Few-Shot User-Definable Radar-Based Hand Gesture Recognition at the Edge. IEEE Access. 10. 29741–29759. 11 indexed citations
17.
Servadei, Lorenzo, et al.. (2022). Improving Radar Human Activity Classification Using Synthetic Data with Image Transformation. Sensors. 22(4). 1519–1519. 6 indexed citations
18.
Servadei, Lorenzo, et al.. (2022). Deep Reinforcement Learning for Optimization at Early Design Stages. IEEE Design and Test. 40(1). 43–51. 2 indexed citations
19.
Servadei, Lorenzo, et al.. (2021). Accurate and Robust Malware Detection: Running XGBoost on Runtime Data From Performance Counters. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 41(7). 2066–2079. 8 indexed citations
20.
Servadei, Lorenzo, et al.. (2020). Accurate Cost Estimation of Memory Systems Utilizing Machine Learning and Solutions from Computer Vision for Design Automation. IEEE Transactions on Computers. 69(6). 856–867. 10 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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