Mauro Massari

897 total citations
66 papers, 611 citations indexed

About

Mauro Massari is a scholar working on Aerospace Engineering, Astronomy and Astrophysics and Artificial Intelligence. According to data from OpenAlex, Mauro Massari has authored 66 papers receiving a total of 611 indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Aerospace Engineering, 26 papers in Astronomy and Astrophysics and 15 papers in Artificial Intelligence. Recurrent topics in Mauro Massari's work include Space Satellite Systems and Control (27 papers), Astro and Planetary Science (19 papers) and Spacecraft Dynamics and Control (14 papers). Mauro Massari is often cited by papers focused on Space Satellite Systems and Control (27 papers), Astro and Planetary Science (19 papers) and Spacecraft Dynamics and Control (14 papers). Mauro Massari collaborates with scholars based in Italy, United Kingdom and United States. Mauro Massari's co-authors include Pierluigi Di Lizia, F. Bernelli Zazzera, Mattia Zamaro, Roberto Furfaro, Richard Linares, Andrea Scorsoglio, Alexander Wittig, G. Bianchi, G. Pupillo and Roberto Armellin and has published in prestigious journals such as Icarus, Journal of Guidance Control and Dynamics and Neural Computing and Applications.

In The Last Decade

Mauro Massari

62 papers receiving 584 citations

Peers

Mauro Massari

CSE

CVPR

Shengying Zhu China

Yunhua Wu China

Dong Qiao China

Stephan Theil Germany

Hongbo Zhang China

Fabio Curti Italy

Zhiming Chen China

E. Glenn Lightsey United States

Hong Cai China

Shengying Zhu China

Mauro Massari

606 ×1.3

214 ×0.9

77 ×0.8

105 ×1.1

CSE

141 ×1.8

CVPR

Citations per year, relative to Mauro Massari Mauro Massari (= 1×) peers Shengying Zhu

Countries citing papers authored by Mauro Massari

Since Specialization

Citations

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

Fields of papers citing papers by Mauro Massari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mauro Massari

This figure shows the co-authorship network connecting the top 25 collaborators of Mauro Massari. A scholar is included among the top collaborators of Mauro Massari 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 Mauro Massari. Mauro Massari 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

Lizia, Pierluigi Di, et al.. (2025). Object detection on space-based optical images leveraging machine learning techniques. Neural Computing and Applications. 37(22). 17153–17177. 2 indexed citations

Zhang, Zexu, et al.. (2025). Cross-modal fusion of monocular images and neuromorphic streams for 6D pose estimation of non-cooperative targets. Aerospace Science and Technology. 163. 110338–110338. 1 indexed citations

Facchini, Luca, Pierluigi Di Lizia, Mauro Massari, et al.. (2024). Third Long-March 5B re-entry campaign through Italian space surveillance radars. Advances in Space Research. 75(2). 2139–2155. 2 indexed citations

Facchini, Luca, et al.. (2024). An orbit determination software suite for Space Surveillance and Tracking applications. CEAS Space Journal. 16(5). 619–633. 10 indexed citations

Massari, Mauro, et al.. (2024). Operational Angular Track Reconstruction in Space Surveillance Radars through an Adaptive Beamforming Approach. Aerospace. 11(6). 451–451. 5 indexed citations

Lizia, Pierluigi Di, et al.. (2022). Real-time space object tracklet extraction from telescope survey images with machine learning. Astrodynamics. 6(2). 205–218. 35 indexed citations

Facchini, Luca, Pierluigi Di Lizia, Mauro Massari, et al.. (2021). Resident space object track reconstruction using a multireceiver radar system. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–8. 3 indexed citations

Massari, Mauro, et al.. (2021). A Comprehensive Ranking Framework for Active Debris Removal Missions Candidates. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–10. 1 indexed citations

Pupillo, G., G. Bianchi, A. Mattana, et al.. (2019). Operational Challenges of the Multi-Beam Radar Sensor BIRALES for Space Surveillance. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 2109. 6202. 1 indexed citations

10.

Lizia, Pierluigi Di, et al.. (2018). On-board spacecraft relative pose estimation with high-order extended Kalman filter. Acta Astronautica. 158. 55–67. 21 indexed citations

11.

Lizia, Pierluigi Di, Mauro Massari, A. Mattana, et al.. (2018). The Multibeam Radar Sensor BIRALES: Performance Assessment for Space Surveillance and Tracking. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–9. 4 indexed citations

12.

Wittig, Alexander, et al.. (2016). Differential algebra space toolbox for nonlinear uncertainty propagation in space dynamics. ePrints Soton (University of Southampton). 13 indexed citations

13.

Gianinetto, Marco, Andrea Marchesi, Francesco Topputo, et al.. (2016). OBIA ship detection with multispectral and SAR images: A simulation for Copernicus security applications. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1229–1232. 10 indexed citations

14.

Massari, Mauro, Roberto Armellin, Pierluigi Di Lizia, & Francesco Topputo. (2007). Reaching NEOs: solution for the second global trajectory optimization competition. ePrints Soton (University of Southampton). 1–11. 1 indexed citations

15.

Massari, Mauro, et al.. (2006). Autonomous Rover Control with Behavioral Algorithms and Neural Networks. AIAA Guidance, Navigation, and Control Conference and Exhibit. 2 indexed citations

16.

Massari, Mauro, et al.. (2005). Optimal Trajectory Generation and Control for Reconfiguration Maneuvers of Formation Flying Using Low-Thrust Propulsion. View. 1 indexed citations

17.

Armellin, Roberto, et al.. (2004). Optimal formation flying reconfiguration and station keeping maneuvers using low thrust propulsion. ePrints Soton (University of Southampton). 15 indexed citations

18.

Massari, Mauro, et al.. (2004). Autonomous Navigation System for Planetary Exploration Rover based on Artificial Potential Fields. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 153–162. 25 indexed citations

19.

Zazzera, F. Bernelli, Mauro Massari, & Marcello Romano. (2001). Numerical and Experimental Results on Closed Loop Tracking Control of Flexible Manipulators. Biochimica et Biophysica Acta. 253(1). 1–7. 1 indexed citations

20.

Sabatini, Roberto & Mauro Massari. (2000). MB-339CD Aircraft Development COTS Integration in a Modern Avionics Architecture. Defense Technical Information Center (DTIC). 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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