Tony de Paolo

607 total citations
22 papers, 324 citations indexed

About

Tony de Paolo is a scholar working on Oceanography, Atmospheric Science and Aerospace Engineering. According to data from OpenAlex, Tony de Paolo has authored 22 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Oceanography, 7 papers in Atmospheric Science and 6 papers in Aerospace Engineering. Recurrent topics in Tony de Paolo's work include Ocean Waves and Remote Sensing (17 papers), Oceanographic and Atmospheric Processes (14 papers) and Underwater Acoustics Research (9 papers). Tony de Paolo is often cited by papers focused on Ocean Waves and Remote Sensing (17 papers), Oceanographic and Atmospheric Processes (14 papers) and Underwater Acoustics Research (9 papers). Tony de Paolo collaborates with scholars based in United States, Greece and Vietnam. Tony de Paolo's co-authors include Eric Terrill, Anthony Kirincich, Jochen Horstmann, Raúl Vicen-Bueno, Joel T. Johnson, Tom Cook, Paul A. Frederickson, Ivan Savelyev, Caglar Yardim and Sophia Merrifield and has published in prestigious journals such as Geophysical Research Letters, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Antennas and Propagation.

In The Last Decade

Tony de Paolo

21 papers receiving 309 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tony de Paolo United States 11 275 122 109 43 20 22 324
R.D. Chapman United States 9 377 1.4× 146 1.2× 80 0.7× 65 1.5× 3 0.1× 17 423
Bruce Nyden United States 8 295 1.1× 90 0.7× 146 1.3× 26 0.6× 13 0.7× 10 352
Eric J. Knapp United States 11 89 0.3× 211 1.7× 109 1.0× 36 0.8× 4 0.2× 31 342
Konstanze Reichert Spain 10 415 1.5× 98 0.8× 132 1.2× 151 3.5× 19 454
Michael S. Grant United States 7 90 0.3× 194 1.6× 164 1.5× 31 0.7× 3 0.1× 20 357
C.M. Senet Germany 8 385 1.4× 73 0.6× 99 0.9× 155 3.6× 22 405
Dragana Perkovic‐Martin United States 10 197 0.7× 101 0.8× 42 0.4× 32 0.7× 20 263
Yuyi Hu China 11 273 1.0× 186 1.5× 25 0.2× 113 2.6× 36 314
F. Soulat France 6 185 0.7× 107 0.9× 140 1.3× 17 0.4× 15 291
R. Sabia Spain 12 192 0.7× 162 1.3× 45 0.4× 24 0.6× 1 0.1× 33 305

Countries citing papers authored by Tony de Paolo

Since Specialization
Citations

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

Fields of papers citing papers by Tony de Paolo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tony de Paolo. 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 Tony de Paolo. The network helps show where Tony de Paolo may publish in the future.

Co-authorship network of co-authors of Tony de Paolo

This figure shows the co-authorship network connecting the top 25 collaborators of Tony de Paolo. A scholar is included among the top collaborators of Tony de Paolo 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 Tony de Paolo. Tony de Paolo 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.
Collins, Clarence O., Patrick J. Dickhudt, Jim Thomson, et al.. (2024). Performance of moored GPS wave buoys. Coastal Engineering Journal. 66(1). 17–43. 15 indexed citations
2.
Savelyev, Ivan, Paul J. Martin, Yalin Fan, et al.. (2022). An Empirical Evaluation of Turbulence Closure Models in the Coastal Ocean. Journal of Geophysical Research Oceans. 127(4). 5 indexed citations
3.
Belmont, Michael, et al.. (2021). Spectral Algorithm in Waves Profiling and Prediction From Radar Backscatter. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–11. 6 indexed citations
4.
Merrifield, Sophia, et al.. (2021). Automated Detection, Classification, and Tracking of Internal Wave Signatures Using X-Band Radar in the Inner Shelf. Journal of Atmospheric and Oceanic Technology. 38(4). 789–803. 14 indexed citations
5.
6.
Fan, Yalin, Ivan Savelyev, Peter P. Sullivan, et al.. (2020). The effect of Langmuir turbulence under complex real oceanic and meteorological forcing. Ocean Modelling. 149. 101601–101601. 10 indexed citations
7.
Ortiz‐Suslow, David G., Qing Wang, John Kalogiros, et al.. (2019). Interactions Between Nonlinear Internal Ocean Waves and the Atmosphere. Geophysical Research Letters. 46(15). 9291–9299. 11 indexed citations
8.
Ortiz‐Suslow, David G., Qing Wang, John Kalogiros, et al.. (2019). Quantifying the Impact of Nonlinear Internal Waves on the Marine Atmospheric Surface Layer. 1–9. 2 indexed citations
9.
Johnson, Joel T., et al.. (2018). <inline-formula> <tex-math notation="LaTeX">$X$ </tex-math> </inline-formula>-Band Beacon-Receiver Array Evaporation Duct Height Estimation. IEEE Transactions on Antennas and Propagation. 66(5). 2545–2556. 30 indexed citations
10.
Savelyev, Ivan, W. David Miller, Mark A. Sletten, et al.. (2018). Airborne Remote Sensing of the Upper Ocean Turbulence during CASPER-East. Remote Sensing. 10(8). 1224–1224. 5 indexed citations
11.
Rogowski, Peter, Tony de Paolo, Eric Terrill, & Jesse McNinch. (2018). X‐Band Radar Mapping of Morphological Changes at a Dynamic Coastal Inlet. Journal of Geophysical Research Earth Surface. 123(11). 3034–3054. 5 indexed citations
12.
Terrill, Eric, et al.. (2017). A New Inversion Method to Obtain Upper-Ocean Current-Depth Profiles Using X-Band Observations of Deep-Water Waves. Journal of Atmospheric and Oceanic Technology. 34(5). 957–970. 12 indexed citations
13.
Terrill, Eric, et al.. (2016). The Development of an Inversion Technique to Extract Vertical Current Profiles from X-Band Radar Observations. Journal of Atmospheric and Oceanic Technology. 33(9). 2015–2028. 20 indexed citations
14.
Terrill, Eric, et al.. (2015). Observations of surface current and current shear using X-band radar. 1–5. 3 indexed citations
15.
Lyzenga, David R., Okey Nwogu, Robert F. Beck, et al.. (2015). Real-time estimation of ocean wave fields from marine radar data. 3622–3625. 16 indexed citations
16.
Paolo, Tony de, Eric Terrill, & Anthony Kirincich. (2015). Improving SeaSonde radial velocity accuracy and variance using radial metrics. 24. 1–9. 8 indexed citations
17.
Veeramony, J., et al.. (2014). Navy Nearshore Ocean Prediction Systems. Oceanography. 27(3). 80–91. 9 indexed citations
18.
Kirincich, Anthony, Tony de Paolo, & Eric Terrill. (2012). Improving HF Radar Estimates of Surface Currents Using Signal Quality Metrics, with Application to the MVCO High-Resolution Radar System. Journal of Atmospheric and Oceanic Technology. 29(9). 1377–1390. 40 indexed citations
19.
Vicen-Bueno, Raúl, et al.. (2012). Real-Time Ocean Wind Vector Retrieval from Marine Radar Image Sequences Acquired at Grazing Angle. Journal of Atmospheric and Oceanic Technology. 30(1). 127–139. 46 indexed citations
20.
Paolo, Tony de & Eric Terrill. (2007). Skill Assessment of Resolving Ocean Surface Current Structure Using Compact-Antenna-Style HF Radar and the MUSIC Direction-Finding Algorithm. Journal of Atmospheric and Oceanic Technology. 24(7). 1277–1300. 52 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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