1.7k total citations 10 papers, 52 citations indexed
About
D. Noss is a scholar working on Astronomy and Astrophysics, Aerospace Engineering and Oceanography.
According to data from OpenAlex, D. Noss has authored 10 papers receiving a total of 52 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Astronomy and Astrophysics, 4 papers in Aerospace Engineering and 3 papers in Oceanography. Recurrent topics in D. Noss's work include Planetary Science and Exploration (5 papers), Space Exploration and Technology (4 papers) and Geophysics and Gravity Measurements (3 papers). D. Noss is often cited by papers focused on Planetary Science and Exploration (5 papers), Space Exploration and Technology (4 papers) and Geophysics and Gravity Measurements (3 papers). D. Noss collaborates with scholars based in Germany. D. Noss's co-authors include S. Dickenshied, P. R. Christensen, Noel Gorelick, Saadat Anwar, Jens Müller, Christian Mainka, Jörg Schwenk, W. Hagee, R. O. Kuzmin and T. M. Hare and has published in prestigious journals such as LPI, Lunar and Planetary Science Conference and AGU Fall Meeting Abstracts.
In The Last Decade
D. Noss
8 papers
receiving
51 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of D. Noss'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 D. Noss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Noss more than expected).
This network shows the impact of papers produced by D. Noss. 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 D. Noss. The network helps show where D. Noss may publish in the future.
Co-authorship network of co-authors of D. Noss
This figure shows the co-authorship network connecting the top 25 collaborators of D. Noss.
A scholar is included among the top collaborators of D. Noss 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 D. Noss. D. Noss is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Dickson, J. L., B. L. Ehlmann, L. Kerber, et al.. (2020). The Global CTX Mosaic of Mars: Lessons for the Construction and Dissemination of Massive Imaging Data Sets. Lunar and Planetary Science Conference. 2309.3 indexed citations
3.
Christensen, P. R., Saadat Anwar, S. Dickenshied, et al.. (2018). J-Asteroid: JMARS for Asteroids and Other Small Bodies. Lunar and Planetary Science Conference. 2788.1 indexed citations
4.
Dickenshied, S., Saadat Anwar, D. Noss, et al.. (2017). JMARS — Remote Sensing Visualization and Analysis for All Planetary Bodies. 1986. 7126.1 indexed citations
5.
Dickenshied, S., et al.. (2015). JMARS — Easy Visualization and Analysis of Planetary Remote Sensing Data. LPICo. 1846. 7013.2 indexed citations
6.
Hagee, W., Saadat Anwar, D. Noss, & S. Dickenshied. (2015). J-Asteroid, 3D Data Formats and Issues for the Visualization of Small Bodies. LPICo. 1846. 7023.
7.
Dickenshied, S., et al.. (2013). 3D visualization of numeric planetary data using JMARS. AGU Fall Meeting Abstracts. 2013.
8.
Dickenshied, S., et al.. (2010). Collaborative Planetary GIS with JMARS. AGU Fall Meeting Abstracts. 2010.1 indexed citations
9.
Christensen, P. R., et al.. (2009). JMARS - A Planetary GIS. AGU Fall Meeting Abstracts. 2009.40 indexed citations
10.
Kuzmin, R. O., et al.. (1995). Mars: Comparative Analysis of Termoscan and Viking-IRTM Data. LPI. 26. 815.1 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
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research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
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