Richard Linares

1.1k total citations
59 papers, 681 citations indexed

About

Richard Linares is a scholar working on Aerospace Engineering, Astronomy and Astrophysics and Artificial Intelligence. According to data from OpenAlex, Richard Linares has authored 59 papers receiving a total of 681 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Aerospace Engineering, 26 papers in Astronomy and Astrophysics and 15 papers in Artificial Intelligence. Recurrent topics in Richard Linares's work include Space Satellite Systems and Control (23 papers), Astro and Planetary Science (17 papers) and Ionosphere and magnetosphere dynamics (9 papers). Richard Linares is often cited by papers focused on Space Satellite Systems and Control (23 papers), Astro and Planetary Science (17 papers) and Ionosphere and magnetosphere dynamics (9 papers). Richard Linares collaborates with scholars based in United States, Italy and Portugal. Richard Linares's co-authors include Roberto Furfaro, Brian Gaudet, Piyush M. Mehta, Ryan P. Russell, E. K. Sutton, Ravi Gondhalekar, Andrea D’Ambrosio, Roberto Armellin, Thomas G. Roberts and Marcus J. Holzinger and has published in prestigious journals such as Monthly Notices of the Royal Astronomical Society, Sensors and Journal of Guidance Control and Dynamics.

In The Last Decade

Richard Linares

56 papers receiving 657 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Richard Linares United States 14 404 289 113 84 81 59 681
Richard Linares United States 16 780 1.9× 388 1.3× 193 1.7× 135 1.6× 45 0.6× 92 1.0k
Dong Qiao China 18 879 2.2× 553 1.9× 144 1.3× 79 0.9× 70 0.9× 116 1.1k
Brandon A. Jones United States 16 394 1.0× 159 0.6× 337 3.0× 33 0.4× 102 1.3× 62 744
Robert G. Melton United States 9 1.1k 2.8× 688 2.4× 112 1.0× 41 0.5× 87 1.1× 57 1.3k
Stephan Theil Germany 17 674 1.7× 191 0.7× 76 0.7× 66 0.8× 43 0.5× 105 786
Roberto Armellin New Zealand 19 1.0k 2.5× 602 2.1× 265 2.3× 63 0.8× 56 0.7× 152 1.3k
Fanghua Jiang China 20 1.4k 3.4× 821 2.8× 85 0.8× 119 1.4× 34 0.4× 65 1.6k
Shyam Bhaskaran United States 16 411 1.0× 376 1.3× 73 0.6× 39 0.5× 56 0.7× 66 645
Hengnian Li China 16 566 1.4× 281 1.0× 113 1.0× 13 0.2× 40 0.5× 104 731
Sofia Suvorova Australia 15 316 0.8× 189 0.7× 267 2.4× 57 0.7× 169 2.1× 62 681

Countries citing papers authored by Richard Linares

Since Specialization
Citations

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

Fields of papers citing papers by Richard Linares

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Linares

This figure shows the co-authorship network connecting the top 25 collaborators of Richard Linares. A scholar is included among the top collaborators of Richard Linares 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 Richard Linares. Richard Linares 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.
D’Ambrosio, Andrea, et al.. (2025). New Monte Carlo Model for the Space Environment. Journal of Spacecraft and Rockets. 62(4). 1346–1367. 1 indexed citations
2.
Hall, Stephen A., et al.. (2025). MOCAT-pySSEM: An open-source Python library and user interface for orbital debris and source sink environmental modeling. SoftwareX. 30. 102062–102062. 1 indexed citations
3.
Linares, Richard, et al.. (2024). Koopman Operator theory applied to Lambert’s problem with a spectral behavior analysis. Acta Astronautica. 229. 565–577. 2 indexed citations
4.
Ventura, Rodrigo, et al.. (2024). The ReSWARM microgravity flight experiments: Planning, control, and model estimation for on‐orbit close proximity operations. Journal of Field Robotics. 41(6). 1645–1679. 1 indexed citations
5.
D’Ambrosio, Andrea, et al.. (2024). Effects of Orbit Raising and Deorbiting in Source-Sink Evolutionary Models. Journal of Spacecraft and Rockets. 61(3). 784–797. 2 indexed citations
6.
Roberts, Thomas G. & Richard Linares. (2024). A method for assessing satellite operators’ compliance with geosynchronous orbital assignments. Acta Astronautica. 221. 218–229. 2 indexed citations
7.
Linares, Richard, et al.. (2021). Real‐Time Thermospheric Density Estimation via Radar and GPS Tracking Data Assimilation. Space Weather. 19(4). 20 indexed citations
8.
Coltin, Brian, et al.. (2021). Online Information-Aware Motion Planning with Inertial Parameter Learning for Robotic Free-Flyers. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 8766–8773. 2 indexed citations
9.
Gaudet, Brian, Richard Linares, & Roberto Furfaro. (2020). Adaptive guidance and integrated navigation with reinforcement meta-learning. Acta Astronautica. 169. 180–190. 67 indexed citations
10.
Gaudet, Brian, Richard Linares, & Roberto Furfaro. (2020). Six degree-of-freedom body-fixed hovering over unmapped asteroids via LIDAR altimetry and reinforcement meta-learning. Acta Astronautica. 172. 90–99. 34 indexed citations
11.
Linares, Richard, et al.. (2020). Real‐Time Thermospheric Density Estimation via Two‐Line Element Data Assimilation. Space Weather. 18(2). 28 indexed citations
12.
Furfaro, Roberto, et al.. (2019). Shape Identification of Space Objects via Light Curve Inversion Using Deep Learning Models. Advanced Maui Optical and Space Surveillance Technologies Conference. 17. 6 indexed citations
13.
Linares, Richard, et al.. (2019). Autonomous Mission Planning for Swarms Using Random Finite Sets. Proceedings of the Satellite Division's International Technical Meeting (Online). 1753–1761. 2 indexed citations
14.
Furfaro, Roberto, et al.. (2018). Space Objects Classification via Light-Curve Measurements: Deep Convolutional Neural Networks and Model-based Transfer Learning. 11. 17 indexed citations
15.
Carter, Brett, et al.. (2018). Space Object Tracking from the Robotic Optical Observatory at RMIT University. RMIT Research Repository (RMIT University Library). 42. 3 indexed citations
16.
Linares, Richard, et al.. (2018). Random Finite Set Theory and Optimal Control for Large Spacecraft Swarms.. arXiv (Cornell University). 2 indexed citations
17.
Holzinger, Marcus J., et al.. (2017). Three-Degree-of-Freedom Estimation of Agile Space Objects Using Marginalized Particle Filters. Journal of Guidance Control and Dynamics. 41(2). 388–400. 6 indexed citations
18.
Linares, Richard & Roberto Furfaro. (2016). Dynamic Sensor Tasking for Space Situational Awareness via Reinforcement Learning. Advanced Maui Optical and Space Surveillance Technologies Conference. 36. 9 indexed citations
19.
Godinez, H. C., Earl Lawrence, David Higdon, et al.. (2014). Specification of the Ionosphere-Thermosphere Environment Using Ensemble Kalman Filter with Orthogonal Transformations. 2014 AGU Fall Meeting. 2014. 2 indexed citations
20.
Schilling, M.W., et al.. (2009). Student Motivation and Assessment of Applied Skills in an Equine Studies Program. 1(Fall). 93–108. 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Richard Linares Breakdown of academic impact, for papers by Dong Qiao Breakdown of academic impact, for papers by Brandon A. Jones Breakdown of academic impact, for papers by Robert G. Melton Breakdown of academic impact, for papers by Stephan Theil Breakdown of academic impact, for papers by Roberto Armellin Breakdown of academic impact, for papers by Fanghua Jiang Breakdown of academic impact, for papers by Shyam Bhaskaran Breakdown of academic impact, for papers by Hengnian Li Breakdown of academic impact, for papers by Sofia Suvorova
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