Roberto Opromolla

1.6k total citations · 1 hit paper
98 papers, 1.2k citations indexed

About

Roberto Opromolla is a scholar working on Aerospace Engineering, Astronomy and Astrophysics and Artificial Intelligence. According to data from OpenAlex, Roberto Opromolla has authored 98 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 96 papers in Aerospace Engineering, 29 papers in Astronomy and Astrophysics and 20 papers in Artificial Intelligence. Recurrent topics in Roberto Opromolla's work include Space Satellite Systems and Control (46 papers), Robotics and Sensor-Based Localization (44 papers) and Astro and Planetary Science (25 papers). Roberto Opromolla is often cited by papers focused on Space Satellite Systems and Control (46 papers), Robotics and Sensor-Based Localization (44 papers) and Astro and Planetary Science (25 papers). Roberto Opromolla collaborates with scholars based in Italy, United States and United Kingdom. Roberto Opromolla's co-authors include Giancarmine Fasano, Michele Grassi, Giancarlo Rufino, Domenico Accardo, Flavia Causa, Al Savvaris, Vincenzo Pesce, Michèle Lavagna, Amedeo Rodi Vetrella and Carlo Lombardi and has published in prestigious journals such as IEEE Access, Sensors and Remote Sensing.

In The Last Decade

Roberto Opromolla

81 papers receiving 1.1k citations

Hit Papers

A review of cooperative and uncooperative spacecraft pose... 2017 2026 2020 2023 2017 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A review of cooperative and uncooperative spacecraft pose determination techniques for close-proximity operations
    2017 226 citations Roberto Opromolla, Giancarmine Fasano et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roberto Opromolla Italy 17 1.1k 325 283 120 119 98 1.2k
John A. Christian United States 19 927 0.9× 313 1.0× 138 0.5× 137 1.1× 55 0.5× 82 1.2k
Adnan Ansar United States 15 826 0.8× 176 0.5× 691 2.4× 85 0.7× 70 0.6× 45 1.1k
Nikolas Trawny United States 16 858 0.8× 175 0.5× 398 1.4× 200 1.7× 35 0.3× 48 1.1k
Andrey Soloviev United States 17 806 0.7× 63 0.2× 98 0.3× 218 1.8× 54 0.5× 88 947
Piotr Jasiobedzki Canada 15 421 0.4× 71 0.2× 368 1.3× 28 0.2× 96 0.8× 57 611
Zhouzheng Gao China 19 879 0.8× 93 0.3× 84 0.3× 202 1.7× 35 0.3× 57 1.2k
Reg G. Willson United States 14 328 0.3× 129 0.4× 468 1.7× 35 0.3× 35 0.3× 22 739
Shengyu Li China 15 519 0.5× 21 0.1× 155 0.5× 118 1.0× 84 0.7× 49 638
Feng Zhu China 17 735 0.7× 78 0.2× 110 0.4× 96 0.8× 19 0.2× 91 958
Giovanni B. Palmerini Italy 21 998 0.9× 482 1.5× 90 0.3× 51 0.4× 13 0.1× 133 1.3k

Countries citing papers authored by Roberto Opromolla

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Opromolla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roberto Opromolla

This figure shows the co-authorship network connecting the top 25 collaborators of Roberto Opromolla. A scholar is included among the top collaborators of Roberto Opromolla 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 Roberto Opromolla. Roberto Opromolla 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.
Opromolla, Roberto, et al.. (2025). Guidance and Control Architecture for Rendezvous and Approach to a Non-Cooperative Tumbling Target. Aerospace. 12(8). 708–708.
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Opromolla, Roberto, et al.. (2025). Multi-Objective Manoeuvring Optimization for Multi-Satellite Responsive Earth Observation. Aerospace. 12(2). 143–143.
4.
Opromolla, Roberto, et al.. (2025). Modal Solutions-Based Approach to Relative Dynamics in the Cislunar Environment. 1 indexed citations
5.
Dolph, Chester, Thomas Lombaerts, Vahram Stepanyan, et al.. (2025). Distributed Vision Sensing of Small Uncrewed Aircraft Systems in Urban Traffic Corridors.
6.
Opromolla, Roberto, et al.. (2024). Visual detection of polygonal retroreflective markers for pose determination of uncontrolled space targets. Acta Astronautica. 225. 350–363.
7.
Mancini, Adriano, Elisa Capello, Stefano Primatesta, et al.. (2024). 4IPLAY - Improving Intelligent Infrastructure Inspection by Pushing UAS Level of Autonomy in Challenging Environments. Università Politecnica delle Marche (Università Politecnica delle Marche). 278–283. 1 indexed citations
8.
Opromolla, Roberto, et al.. (2024). A recurrent neural network-based approach for ballistic coefficient estimation of resident space objects in low earth orbit. Advances in Space Research. 75(2). 2088–2107. 2 indexed citations
9.
Opromolla, Roberto, et al.. (2024). Attitude motion classification of resident space objects using light curve spectral analysis. Advances in Space Research. 75(1). 1077–1095. 1 indexed citations
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Causa, Flavia, Roberto Opromolla, Giancarmine Fasano, et al.. (2024). Distributed Visual Sensing and Fusion for Advanced Air Mobility. 1–8.
14.
Opromolla, Roberto, et al.. (2024). LIDAR adaptive parameters selection and target pointing control for close-proximity space operations. Aerospace Science and Technology. 155. 109646–109646. 2 indexed citations
15.
Opromolla, Roberto, et al.. (2023). Experimental validation of inertia parameters and attitude estimation of uncooperative space targets using solid state LIDAR. Acta Astronautica. 210. 428–436. 13 indexed citations
16.
Opromolla, Roberto, et al.. (2023). AI-powered vision-aided navigation and ground obstacles detection for UAM approach and landing. 1–10. 7 indexed citations
17.
Causa, Flavia, Roberto Opromolla, Giancarmine Fasano, et al.. (2023). Assessing Performance of Radar and Visual Sensing Techniques for Ground-To-Air Surveillance in Advanced Air Mobility. 7. 1–10. 4 indexed citations
18.
Opromolla, Roberto, et al.. (2023). Earth Orbiting Resident Space Objects Characterization based on Astrometric Data. 2109. 114–119.
19.
Opromolla, Roberto, et al.. (2023). Machine learning-based approach for ballistic coefficient estimation of resident space objects in LEO. Advances in Space Research. 71(12). 5007–5025. 9 indexed citations
20.
Opromolla, Roberto, et al.. (2021). LIDAR-based multi-step approach for relative state and inertia parameters determination of an uncooperative target. Acta Astronautica. 181. 662–678. 17 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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