This map shows the geographic impact of Daniel Gaines'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 Daniel Gaines with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Gaines more than expected).
This network shows the impact of papers produced by Daniel Gaines. 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 Daniel Gaines. The network helps show where Daniel Gaines may publish in the future.
Co-authorship network of co-authors of Daniel Gaines
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Gaines.
A scholar is included among the top collaborators of Daniel Gaines 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 Daniel Gaines. Daniel Gaines is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Doran, Gary, Umaa Rebbapragada, Eugenie Song, et al.. (2017). Scientist-Guided Autonomy for Self-Reliant Rovers. International Joint Conference on Artificial Intelligence.1 indexed citations
4.
Francis, Raymond, Daniel Gaines, & G. R. Osinski. (2017). Advanced Rover Science Autonomy Experiments in Preparation for the Mars 2020 Mission: Results from the 2016 CanMars Analogue Mission. Lunar and Planetary Science Conference. 2402.3 indexed citations
5.
Altınok, Alphan, B. Bornstein, Tara Estlin, et al.. (2014). Automatic Image Analysis for Adaptive Instrument Targeting: Applications to MSL and Mars 2020. Lunar and Planetary Science Conference. 2871.1 indexed citations
6.
Estlin, Tara, et al.. (2008). Opportunistic Detection and Measurement of Novel Rocks. LPI. 2260.1 indexed citations
Gaines, Daniel, Tara Estlin, Rebecca Castaño, et al.. (2006). Opportunistic Planning and Execution for Planetary Exploration. International Conference on Automated Planning and Scheduling.2 indexed citations
Castaño, Rebecca, R. C. Anderson, M. Judd, et al.. (2004). Recent Advances: Onboard Autonomous Science Investigation System. AGUFM. 2004.1 indexed citations
12.
Anderson, R. C., Rebecca Castaño, M. Judd, et al.. (2003). Maximizing Rover Science Return Through Autonomous Onboard Data Analysis. AGUFM. 2003.2 indexed citations
13.
Castaño, Rebecca, Robert C. Anderson, Tara Estlin, et al.. (2003). Techniques for Onboard Prioritization of Science Data for Transmission. 153. 1–13.3 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.