Michele Basso

1.6k total citations
83 papers, 1.2k citations indexed

About

Michele Basso is a scholar working on Control and Systems Engineering, Statistical and Nonlinear Physics and Computer Networks and Communications. According to data from OpenAlex, Michele Basso has authored 83 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Control and Systems Engineering, 23 papers in Statistical and Nonlinear Physics and 19 papers in Computer Networks and Communications. Recurrent topics in Michele Basso's work include Chaos control and synchronization (19 papers), Force Microscopy Techniques and Applications (17 papers) and Nonlinear Dynamics and Pattern Formation (17 papers). Michele Basso is often cited by papers focused on Chaos control and synchronization (19 papers), Force Microscopy Techniques and Applications (17 papers) and Nonlinear Dynamics and Pattern Formation (17 papers). Michele Basso collaborates with scholars based in Italy, United States and United Kingdom. Michele Basso's co-authors include R. Genesio, A. Tesi, L. Giarré, Giacomo Innocenti, Lisa Fugate, Susan J. Harkema, Andrea L. Behrman, J F Ditunno, Dan Deforge and G. Dudley and has published in prestigious journals such as Journal of Neuroscience, Journal of Applied Physics and Neurology.

In The Last Decade

Michele Basso

77 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michele Basso Italy 15 289 204 204 199 188 83 1.2k
Goro Obinata Japan 17 43 0.1× 99 0.5× 55 0.3× 521 2.6× 113 0.6× 188 1.5k
Adriano A. G. Siqueira Brazil 21 43 0.1× 386 1.9× 39 0.2× 806 4.1× 230 1.2× 129 1.6k
Yuichi Kurita Japan 21 22 0.1× 135 0.7× 66 0.3× 688 3.5× 45 0.2× 196 1.8k
Abbas Erfanian Iran 19 99 0.3× 95 0.5× 20 0.1× 447 2.2× 151 0.8× 87 1.3k
Luciano Boquete Spain 22 106 0.4× 18 0.1× 27 0.1× 301 1.5× 86 0.5× 69 1.7k
Mounir Sayadi Tunisia 18 41 0.1× 25 0.1× 14 0.1× 104 0.5× 135 0.7× 173 1.3k
Amit Acharyya India 23 17 0.1× 90 0.4× 11 0.1× 1.1k 5.4× 294 1.6× 192 2.2k
Pyung Hun Chang South Korea 30 15 0.1× 136 0.7× 29 0.1× 735 3.7× 155 0.8× 108 3.3k
Richard J. Adams United States 20 11 0.0× 145 0.7× 56 0.3× 244 1.2× 114 0.6× 83 2.7k
R. Tomović Serbia 16 26 0.1× 33 0.2× 14 0.1× 414 2.1× 60 0.3× 50 1.1k

Countries citing papers authored by Michele Basso

Since Specialization
Citations

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

Fields of papers citing papers by Michele Basso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michele Basso

This figure shows the co-authorship network connecting the top 25 collaborators of Michele Basso. A scholar is included among the top collaborators of Michele Basso 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 Michele Basso. Michele Basso 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.
Mugnaini, Marco, et al.. (2025). Low-order MIMO controller for turbomachinery supported by active magnetic bearings. Journal of Vibration and Control. 32(7-8). 1622–1634.
2.
Tiribilli, Bruno, et al.. (2025). Adaptive Drive as a Control Strategy for Fast Scanning in Dynamic Mode Atomic Force Microscopy. Sensors. 25(3). 860–860. 1 indexed citations
3.
4.
Basso, Michele, et al.. (2024). A Convolutional Neural Network to Locate Unbalance in Turbomachinery Supported by AMBs. CINECA IRIS Institutial research information system (University of Pisa). 274–279.
5.
Basso, Michele, et al.. (2024). Automatic Tuning of Augmented PIDs for Active Magnetic Bearings Supporting Turbomachinery. IEEE/ASME Transactions on Mechatronics. 30(3). 1765–1775. 6 indexed citations
6.
Basso, Michele, et al.. (2024). Informed Hybrid A Star-based Path Planning Algorithm in Unstructured Environments. 1039–1044. 1 indexed citations
7.
Basso, Michele, et al.. (2023). A Convolutional Neural Network for Electrical Fault Recognition in Active Magnetic Bearing Systems. Sensors. 23(16). 7023–7023. 8 indexed citations
8.
Miccinesi, Lapo, et al.. (2022). Geo-Referenced Mapping through an Anti-Collision Radar Aboard an Unmanned Aerial System. Drones. 6(3). 72–72. 10 indexed citations
9.
Miccinesi, Lapo, et al.. (2022). Fast Obstacle Detection System for UAS Based on Complementary Use of Radar and Stereoscopic Camera. Drones. 6(11). 361–361. 7 indexed citations
10.
Gherardini, Stefano, et al.. (2021). Development of Non Expensive Technologies for Precise Maneuvering of Completely Autonomous Unmanned Aerial Vehicles. Sensors. 21(2). 391–391. 13 indexed citations
11.
Basso, Michele, et al.. (2021). A Multilevel Architecture for Autonomous UAVs. Drones. 5(3). 55–55. 14 indexed citations
12.
Basso, Michele, et al.. (2021). Mitigating latency problems in vision-based autonomous UAVs. INO Open Portal. 1203–1208. 5 indexed citations
13.
Basso, Michele, et al.. (2020). Triggered INS/GNSS Data Fusion Algorithms for Enhanced Pedestrian Navigation System. IEEE Sensors Journal. 20(13). 7447–7459. 18 indexed citations
14.
Basso, Michele, et al.. (2019). DART Project: A High Precision UAV Prototype Exploiting On-board Visual Sensing. Florence Research (University of Florence). 27–31. 6 indexed citations
15.
Tiribilli, Bruno, Michele Basso, Franco Quercioli, & Massimo Vassalli. (2019). Optical refraction with a toy robot. Physics Education. 54(6). 65013–65013. 1 indexed citations
16.
Sallese, Lorenzo, Giacomo Innocenti, Niccolò Grossi, et al.. (2016). Mitigation of chatter instabilities in milling using an active fixture with a novel control strategy. The International Journal of Advanced Manufacturing Technology. 89(9-12). 2771–2787. 29 indexed citations
17.
Basso, Michele, et al.. (2016). Pedestrian Dead Reckoning Based on Frequency Self-Synchronization and Body Kinematics. IEEE Sensors Journal. 17(2). 534–545. 24 indexed citations
18.
Basso, Michele & Giacomo Innocenti. (2015). Lego‐bike: A challenging robotic lab project to illustrate rapid prototyping in the mindstorms/simulink integrated platform. Computer Applications in Engineering Education. 23(6). 947–958. 10 indexed citations
19.
Torre, Bruno, Michele Basso, Bruno Tiribilli, Paolo Paoletti, & Massimo Vassalli. (2013). Disclosing and overcoming the trade-off between noise and scanning speed in atomic force microscopy. Nanotechnology. 24(32). 325104–325104. 3 indexed citations
20.
Basso, Michele, et al.. (1997). Screening for cognitive dysfunction in multiple sclerosis. American Journal of Ophthalmology. 123(2). 278–279. 2 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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