Phan Dao

1.2k total citations
64 papers, 940 citations indexed

About

Phan Dao is a scholar working on Aerospace Engineering, Atmospheric Science and Astronomy and Astrophysics. According to data from OpenAlex, Phan Dao has authored 64 papers receiving a total of 940 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Aerospace Engineering, 18 papers in Atmospheric Science and 13 papers in Astronomy and Astrophysics. Recurrent topics in Phan Dao's work include Atmospheric Ozone and Climate (10 papers), Atmospheric aerosols and clouds (10 papers) and Advanced Chemical Physics Studies (9 papers). Phan Dao is often cited by papers focused on Atmospheric Ozone and Climate (10 papers), Atmospheric aerosols and clouds (10 papers) and Advanced Chemical Physics Studies (9 papers). Phan Dao collaborates with scholars based in United States, Canada and Greece. Phan Dao's co-authors include Stephen L. Morgan, A. W. Castleman, K. I. Peterson, A. W. Castleman, O. Echt, A. W. Castleman, R. Farley, Chester S. Gardner, Xin Tao and Robert Stanley and has published in prestigious journals such as The Journal of Chemical Physics, Journal of Geophysical Research Atmospheres and The Journal of Physical Chemistry.

In The Last Decade

Phan Dao

54 papers receiving 847 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Phan Dao United States 13 546 263 222 168 139 64 940
Yuzuru Kurosaki Japan 21 878 1.6× 270 1.0× 432 1.9× 79 0.5× 57 0.4× 82 1.2k
Zunlue Zhu China 16 918 1.7× 341 1.3× 383 1.7× 46 0.3× 100 0.7× 199 1.2k
Andrei B. Vakhtin United States 14 283 0.5× 250 1.0× 147 0.7× 89 0.5× 94 0.7× 34 709
James R. Stallcop United States 20 841 1.5× 152 0.6× 172 0.8× 112 0.7× 136 1.0× 49 1.2k
S. Ya. Umanskii Russia 16 662 1.2× 124 0.5× 270 1.2× 34 0.2× 173 1.2× 61 958
X. Michaut France 20 622 1.1× 445 1.7× 598 2.7× 445 2.6× 70 0.5× 59 1.1k
Pontus Andersson Sweden 16 410 0.8× 87 0.3× 176 0.8× 201 1.2× 78 0.6× 40 831
Nikola Marković Sweden 23 962 1.8× 356 1.4× 457 2.1× 105 0.6× 72 0.5× 71 1.3k
Andrea Lombardi Italy 25 1.0k 1.9× 208 0.8× 628 2.8× 99 0.6× 130 0.9× 85 1.4k
M. Braunstein United States 22 791 1.4× 314 1.2× 481 2.2× 50 0.3× 43 0.3× 62 1.1k

Countries citing papers authored by Phan Dao

Since Specialization
Citations

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

Fields of papers citing papers by Phan Dao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Phan Dao

This figure shows the co-authorship network connecting the top 25 collaborators of Phan Dao. A scholar is included among the top collaborators of Phan Dao 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 Phan Dao. Phan Dao 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.
Dao, Phan, et al.. (2018). Machine Learning-based Stability Assessment and Change Detection for Geosynchronous Satellites. amos. 39. 2 indexed citations
2.
Battle, Alexis, et al.. (2016). Standardized Photometric Calibrations for Panchromatic SSA Sensors. Advanced Maui Optical and Space Surveillance Technologies Conference. 51.
3.
Dao, Phan, et al.. (2016). Automated Algorithms to Identify Geostationary Satellites and Detect Mistagging using Concurrent Spatio-Temporal and Brightness Information. Advanced Maui Optical and Space Surveillance Technologies Conference. 71. 2 indexed citations
4.
Dao, Phan, et al.. (2015). Comparison of BRDF-Predicted and Observed Light Curves of GEO Satellites. Advanced Maui Optical and Space Surveillance Technologies Conference. 54. 6 indexed citations
5.
Gregory, Stephen A., et al.. (2015). Satellite Photometric Error Determination. Advanced Maui Optical and Space Surveillance Technologies Conference. 24.
6.
Dao, Phan, et al.. (2015). GEO Collisional Risk Assessment Based on Analysis of NASA-WISE Data and Modeling. amos. 35. 3 indexed citations
7.
Dao, Phan, et al.. (2014). Track-Before-Detect Algorithm for Faint Moving Objects based on Random Sampling and Consensus. amos. 4 indexed citations
8.
Chaudhary, Anil, et al.. (2014). Propagation of Bayesian Belief for Near-Real Time Statistical Assessment of Geosynchronous Satellite Status Based on Non-Resolved Photometry Data. amos. 1 indexed citations
9.
Goldstein, Neil, Rainer A. Dressler, Robert M. Shroll, et al.. (2013). Ground Testing of Prototype Hardware and Processing Algorithms for a Wide Area Space Surveillance System (WASSS). amos.
10.
Dao, Phan, et al.. (2013). Blind Search of Faint Moving Objects in 3D Data Sets. Advanced Maui Optical and Space Surveillance Technologies Conference. 1 indexed citations
11.
Dao, Phan, et al.. (2013). Unmixing Space Object's Moderate Resolution Spectra. amos. 1 indexed citations
12.
Chaudhary, Anil, et al.. (2013). A Derivation of the Analytical Relationship between the Projected Albedo-Area Product of a Space Object and its Aggregate Photometric Measurements. Advanced Maui Optical and Space Surveillance Technologies Conference. 6 indexed citations
13.
Chaudhary, Anil, et al.. (2013). Point Pairing Method Based on the Principle of Material Frame Indifference for the Characterization of Unknown Space Objects using Non-Resolved Photometry Data. amos. 3 indexed citations
14.
Dao, Phan, et al.. (2012). Algorithms for Automated Characterization of Three-Axis Stabilized GEOs using Non-Resolved Optical Observations. Advanced Maui Optical and Space Surveillance Technologies Conference. 23. 12 indexed citations
15.
Chaudhary, Anil, et al.. (2011). Fingerprinting of Non-resolved Three-axis Stabilized Space Objects Using a Two-Facet Analytical Model. Advanced Maui Optical and Space Surveillance Technologies Conference. 9 indexed citations
16.
Chaudhary, Anil, Stephen H. Gregory, R. J. Rudy, et al.. (2010). Analysis of Unresolved Spectral Infrared Signature for the Extraction of Invariant Features. Advanced Maui Optical and Space Surveillance Technologies Conference. 1 indexed citations
17.
Dao, Phan, et al.. (2010). Test of Neural Network Techniques using Simulated Dual-Band Data of LEO Satellites. Advanced Maui Optical and Space Surveillance Technologies Conference. 4 indexed citations
18.
Dao, Phan, et al.. (2009). Experimental Investigation of the Performance of Image Registration and De-aliasing Algorithms. amos. 2 indexed citations
19.
Dao, Phan, et al.. (2008). Space Object Characterization with 16-Visible-Band Measurements at Magdalena Ridge Observatory. Advanced Maui Optical and Space Surveillance Technologies Conference. 4 indexed citations
20.
Meriwether, J. W., et al.. (1991). High altitude lidar observations of density and temperature for four seasons. OTuD1–OTuD1. 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.

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