D. Galuszka

1.5k total citations · 1 hit paper
35 papers, 881 citations indexed

About

D. Galuszka is a scholar working on Astronomy and Astrophysics, Aerospace Engineering and Atmospheric Science. According to data from OpenAlex, D. Galuszka has authored 35 papers receiving a total of 881 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Astronomy and Astrophysics, 19 papers in Aerospace Engineering and 6 papers in Atmospheric Science. Recurrent topics in D. Galuszka's work include Planetary Science and Exploration (27 papers), Astro and Planetary Science (19 papers) and Space Exploration and Technology (13 papers). D. Galuszka is often cited by papers focused on Planetary Science and Exploration (27 papers), Astro and Planetary Science (19 papers) and Space Exploration and Technology (13 papers). D. Galuszka collaborates with scholars based in United States and Germany. D. Galuszka's co-authors include R. L. Kirk, E. Howington‐Kraus, B. Redding, T. M. Hare, B. A. Archinal, M. R. Rosiek, L. Keszthelyi, A. S. McEwen, D. Cook and K. J. Becker and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and Remote Sensing.

In The Last Decade

D. Galuszka

35 papers receiving 828 citations

Hit Papers

Ultrahigh resolution topographic mapping of Mars with MRO... 2008 2026 2014 2020 2008 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. Galuszka United States 9 769 335 220 75 65 35 881
M. R. Rosiek United States 12 911 1.2× 341 1.0× 278 1.3× 69 0.9× 106 1.6× 54 1.1k
D. Cook United States 10 620 0.8× 268 0.8× 181 0.8× 71 0.9× 73 1.1× 18 717
B. Redding United States 10 772 1.0× 283 0.8× 254 1.2× 76 1.0× 80 1.2× 47 867
E. Howington‐Kraus United States 15 1.2k 1.5× 422 1.3× 345 1.6× 93 1.2× 129 2.0× 80 1.3k
Jung‐Rack Kim South Korea 16 493 0.6× 237 0.7× 180 0.8× 62 0.8× 44 0.7× 54 785
S. Mattson United States 13 1.2k 1.5× 472 1.4× 218 1.0× 266 3.5× 80 1.2× 42 1.3k
Z. M. Moratto United States 6 257 0.3× 405 1.2× 111 0.5× 32 0.4× 63 1.0× 21 713
Riccardo Pozzobon Italy 15 434 0.6× 182 0.5× 101 0.5× 38 0.5× 26 0.4× 83 599
R. L. Fergason United States 22 1.4k 1.8× 346 1.0× 299 1.4× 124 1.7× 18 0.3× 72 1.6k
S. P. Scheidt United States 12 314 0.4× 253 0.8× 67 0.3× 149 2.0× 18 0.3× 63 596

Countries citing papers authored by D. Galuszka

Since Specialization
Citations

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

Fields of papers citing papers by D. Galuszka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Galuszka

This figure shows the co-authorship network connecting the top 25 collaborators of D. Galuszka. A scholar is included among the top collaborators of D. Galuszka 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. Galuszka. D. Galuszka 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.
Hare, T. M., R. L. Kirk, M. T. Bland, et al.. (2024). Current Status of the Community Sensor Model Standard for the Generation of Planetary Digital Terrain Models. Remote Sensing. 16(4). 648–648. 1 indexed citations
2.
Kirk, R. L., D. P. Mayer, R. L. Fergason, et al.. (2021). Evaluating Stereo Digital Terrain Model Quality at Mars Rover Landing Sites with HRSC, CTX, and HiRISE Images. Remote Sensing. 13(17). 3511–3511. 25 indexed citations
3.
Fergason, R. L., T. M. Hare, D. P. Mayer, et al.. (2020). Mars 2020 Terrain Relative Navigation Flight Product Generation: Digital Terrain Model and Orthorectified Image Mosaic. Lunar and Planetary Science Conference. 2020. 4 indexed citations
4.
Bland, M. T., D. Galuszka, D. P. Mayer, et al.. (2018). How Well Do We Know Europa's Topography? Assessing Variability in Digital Terrain Models. LPI. 2193. 4 indexed citations
5.
Fergason, R. L., R. L. Kirk, G. E. Cushing, et al.. (2016). Analysis of Local Slopes at the InSight Landing Site on Mars. Space Science Reviews. 211(1-4). 109–133. 16 indexed citations
6.
Howington‐Kraus, E., R. L. Fergason, R. L. Kirk, et al.. (2015). High-Resolution Topographic Mapping Supporting Selection of NASA's Next Mars Landing Sites. LPI. 2435. 1 indexed citations
7.
Rosiek, M. R., R. L. Fergason, D. Galuszka, et al.. (2012). USGS Digital Terrain Models and Mosaics for LMMP. LPI. 2343. 7 indexed citations
8.
Kirk, R. L., E. Howington‐Kraus, D. Galuszka, et al.. (2011). Near-complete 1-m topographic models of the MSL candidate landing sites: Site safety and quality evaluation. 2011. 1465. 10 indexed citations
9.
Kirk, R. L., E. Howington‐Kraus, D. Galuszka, et al.. (2011). Wall-to-Wall 1-m Topographic Coverage of the Mars Science Laboratory Candidate Landing Sites. LPI. 2407. 4 indexed citations
10.
Hare, T. M., et al.. (2008). Large-Scale Digital Geologic Map Databases and Reports of the North Coal District in Afghanistan. Data series. 5 indexed citations
11.
Archinal, B. A., Allan Bennett, L. R. Gaddis, et al.. (2007). USGS Lunar Orbiter Digitization Project: Updates and Status. LPI. 2092. 1 indexed citations
12.
Archinal, B. A., M. G. Tomasko, B. Rizk, et al.. (2006). Topographic Mapping of the Huygens Landing Site on Titan: New Results and Error Analyses. 37th Annual Lunar and Planetary Science Conference. 2089. 1 indexed citations
13.
Kirk, R. L., E. Howington‐Kraus, D. Galuszka, et al.. (2006). Mapping Mars with HRSC, ISIS, and SOCET SET. 37th Annual Lunar and Planetary Science Conference. 2050. 2 indexed citations
14.
Howington‐Kraus, E., R. L. Kirk, D. Galuszka, & B. Redding. (2006). USGS Magellan stereomapping of Venus. 490. 4 indexed citations
15.
Kirk, R. L., M. R. Rosiek, D. Galuszka, et al.. (2006). Topography of Candidate Phoenix Landing Sites from MOC Images. LPI. 2033. 2 indexed citations
16.
Rosiek, M. R., R. L. Kirk, B. A. Archinal, et al.. (2005). Utility of Viking Orbiter Images and Products for Mars Mapping. Photogrammetric Engineering & Remote Sensing. 71(10). 1187–1195. 8 indexed citations
17.
Gaddis, L. R., et al.. (2004). Progress on Reviving Lunar Orbiter: Scanning, Archiving, and Cartographic Processing at USGS. Lunar and Planetary Science Conference. 1791. 1 indexed citations
18.
Kirk, R. L., E. Howington‐Kraus, B. Redding, et al.. (2003). High-Resolution Topomapping of Candidate MER Landing Sites with MOC: New Results and Error Analyses. LPI. 1966. 4 indexed citations
19.
Galuszka, D. & Thomas E. Kolb. (2002). Tree growth and regeneration response to climate and stream flow in a species-rich southwestern riparian forest. Western North American Naturalist. 62(3). 2. 14 indexed citations
20.
Howington‐Kraus, E., R. L. Kirk, D. Galuszka, T. M. Hare, & B. Redding. (2002). Validation of the USGS Magellan Sensor Model for Topographic Mapping of Venus. LPI. 1986. 2 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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