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).
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.
Furfaro, Roberto, et al.. (2019). Space Debris Identification and Characterization via Deep Meta-Learning. 2109. 6123.6 indexed citations
13.
Linares, Richard & Roberto Furfaro. (2016). Space Object classification using deep Convolutional Neural Networks. International Conference on Information Fusion. 1140–1146.24 indexed citations
14.
Furfaro, Roberto, et al.. (2016). Resident Space Object Characterization and Behavior Understanding via Machine Learning and Ontology-based Bayesian Networks. Advanced Maui Optical and Space Surveillance Technologies Conference. 35.14 indexed citations
15.
Linares, Richard, et al.. (2014). Space object classification and characterization via Multiple Model Adaptive Estimation. International Conference on Information Fusion. 1–7.10 indexed citations
16.
Linares, Richard, et al.. (2013). Astrometric and Photometric Data Fusion for Mass and Surface Material Estimation using Refined Bidirectional Reflectance Distribution Functions-Solar Radiation Pressure Model. amos. 110–1.5 indexed citations
17.
Linares, Richard, D. M. Palmer, David E. Thompson, & J. Koller. (2013). Photometric Data from Non-Resolved Objects for Space Object Characterization and Improved Atmospheric Modeling. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).4 indexed citations
18.
Koller, J., S. Brennan, David Higdon, et al.. (2011). IMPACT: Integrated Modeling of Perturbations in Atmospheres for Conjunction Tracking. AGU Fall Meeting Abstracts. 2011.1 indexed citations
Linares, Richard, Puneet Singla, & John L. Crassidis. (2010). Nonlinear sequential methods for impact probability estimation. 787–806.
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.