David A. Marks

592 total citations
33 papers, 477 citations indexed

About

David A. Marks is a scholar working on Atmospheric Science, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, David A. Marks has authored 33 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Atmospheric Science, 20 papers in Environmental Engineering and 8 papers in Global and Planetary Change. Recurrent topics in David A. Marks's work include Meteorological Phenomena and Simulations (32 papers), Precipitation Measurement and Analysis (30 papers) and Soil Moisture and Remote Sensing (20 papers). David A. Marks is often cited by papers focused on Meteorological Phenomena and Simulations (32 papers), Precipitation Measurement and Analysis (30 papers) and Soil Moisture and Remote Sensing (20 papers). David A. Marks collaborates with scholars based in United States, Finland and Italy. David A. Marks's co-authors include David B. Wolff, David S. Silberstein, Ali Tokay, B. L. Fisher, Eyal Amitai, Walter A. Petersen, Christian D. Kummerow, David Atlas, David S. Henderson and V. N. Bringi and has published in prestigious journals such as Remote Sensing, Journal of Atmospheric and Oceanic Technology and Journal of Geophysical Research Atmospheres.

In The Last Decade

David A. Marks

33 papers receiving 462 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David A. Marks United States 12 450 230 171 36 20 33 477
Erwan Le Bouar France 5 445 1.0× 285 1.2× 137 0.8× 20 0.6× 26 1.3× 7 470
Robert A. Warren Australia 12 455 1.0× 123 0.5× 350 2.0× 27 0.8× 15 0.8× 23 498
Nicoletta Roberto Italy 11 289 0.6× 107 0.5× 127 0.7× 20 0.6× 18 0.9× 26 321
Marco Clemens Germany 8 304 0.7× 97 0.4× 162 0.9× 48 1.3× 9 0.5× 21 323
Paul G. Bashor United States 7 366 0.8× 110 0.5× 172 1.0× 20 0.6× 24 1.2× 9 400
Malte Diederich Germany 7 321 0.7× 150 0.7× 148 0.9× 13 0.4× 46 2.3× 10 361
Stéphane Oury France 5 545 1.2× 199 0.9× 263 1.5× 14 0.4× 9 0.5× 6 559
Yalei You United States 16 554 1.2× 189 0.8× 203 1.2× 22 0.6× 20 1.0× 40 577
Valentin Louf Australia 10 340 0.8× 94 0.4× 220 1.3× 25 0.7× 8 0.4× 29 387
Hirotaka Nakatsuka Japan 5 408 0.9× 161 0.7× 216 1.3× 50 1.4× 10 0.5× 26 471

Countries citing papers authored by David A. Marks

Since Specialization
Citations

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

Fields of papers citing papers by David A. Marks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David A. Marks. 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 David A. Marks. The network helps show where David A. Marks may publish in the future.

Co-authorship network of co-authors of David A. Marks

This figure shows the co-authorship network connecting the top 25 collaborators of David A. Marks. A scholar is included among the top collaborators of David A. Marks 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 David A. Marks. David A. Marks 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.
Thurai, Merhala, et al.. (2022). Drop Size Distribution Retrievals for Light Rain and Drizzle from S-Band Polarimetric Radars. MDPI (MDPI AG). 23–23. 2 indexed citations
2.
Wolff, David B., et al.. (2022). GPM Ground Validation at NASA Wallops Precipitation Research Facility. Journal of Atmospheric and Oceanic Technology. 39(8). 1199–1215. 5 indexed citations
3.
Thurai, Merhala, Viswanathan Bringi, David B. Wolff, et al.. (2021). Retrieving Rain Drop Size Distribution Moments from GPM Dual-Frequency Precipitation Radar. Remote Sensing. 13(22). 4690–4690. 2 indexed citations
4.
5.
Tokay, Ali, et al.. (2020). Comparison of Raindrop Size Distribution between NASA’s S-Band Polarimetric Radar and Two-Dimensional Video Disdrometers. Journal of Applied Meteorology and Climatology. 59(3). 517–533. 7 indexed citations
6.
7.
Henderson, David S., Christian D. Kummerow, & David A. Marks. (2017). Sensitivity of Rain-Rate Estimates Related to Convective Organization: Observations from the Kwajalein, RMI, Radar. Journal of Applied Meteorology and Climatology. 56(4). 1099–1119. 5 indexed citations
8.
Kundu, Prasun K., et al.. (2014). Statistical intercomparison of idealized rainfall measurements using a stochastic fractional dynamics model. Journal of Geophysical Research Atmospheres. 119(17). 3 indexed citations
9.
Bringi, V. N., Gwo‐Jong Huang, S. Joseph Munchak, et al.. (2012). Comparison of Drop Size Distribution Parameter (D0) and Rain Rate from S-Band Dual-Polarized Ground Radar, TRMM Precipitation Radar (PR), and Combined PR–TMI: Two Events from Kwajalein Atoll. Journal of Atmospheric and Oceanic Technology. 29(11). 1603–1616. 21 indexed citations
10.
Marks, David A., David B. Wolff, Lawrence D. Carey, & Ali Tokay. (2010). Quality Control and Calibration of the Dual-Polarization Radar at Kwajalein, RMI. Journal of Atmospheric and Oceanic Technology. 28(2). 181–196. 23 indexed citations
11.
Marks, David A., et al.. (2008). Availability of High-Quality TRMM Ground Validation Data from Kwajalein, RMI: A Practical Application of the Relative Calibration Adjustment Technique. Journal of Atmospheric and Oceanic Technology. 26(3). 413–429. 18 indexed citations
12.
Silberstein, David S., et al.. (2008). Ground Clutter as a Monitor of Radar Stability at Kwajalein, RMI. Journal of Atmospheric and Oceanic Technology. 25(11). 2037–2045. 49 indexed citations
13.
Amitai, Eyal, et al.. (2006). Evaluation of Radar Rainfall Products: Lessons Learned from the NASA TRMM Validation Program in Florida. Journal of Atmospheric and Oceanic Technology. 23(11). 1492–1505. 10 indexed citations
14.
Marks, David A.. (2005). Improving radar rainfall estimates at Kwajalein Atoll, RMI through relative calibration adjustments. 2 indexed citations
15.
Hardy, Janet P., David A. Marks, Timothy E. Link, & George G. Koenig. (2004). Variability of the Below Canopy Thermal Structure over Snow. AGU Fall Meeting Abstracts. 2004. 1 indexed citations
16.
Amitai, Eyal, et al.. (2004). Challenges and proposed solutions for validation of spaceborne rain rate estimates. 3. 1966–1968. 2 indexed citations
17.
Pomeroy, John W., Richard Essery, Janet P. Hardy, Aled Rowlands, & David A. Marks. (2003). Uncertainty in Estimating Longwave Fluxes to Snow under Forest Canopies. EAEJA. 12810. 1 indexed citations
18.
Amitai, Eyal, et al.. (2002). Radar rainfall estimation: lessons learned from the NASA/TRMM validation program. 255–260. 6 indexed citations
19.
Kulie, Mark S., et al.. (1999). Operational Processing of Ground Validation Data for the Tropical Rainfall Measuring Mission. 14 indexed citations
20.
Dozier, Jeff, et al.. (1977). Remote sensing applications to hydrologic modeling. NASA STI Repository (National Aeronautics and Space Administration). 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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