David Schvartzman

600 citations
56 papers · 297 · h-index 9

Impact in

Papers in

    • Precipitation Measurement and Analysis 34
    • Meteorological Phenomena and Simulations 19
    • Antenna Design and Optimization 12
    • Radio Wave Propagation Studies 12
    • Radar Systems and Signal Processing 9

David Schvartzman

49 papers receiving 293 citations

Peers

David Schvartzman
Comparison fields: 5 of 28
  • Atmospheric Science 161
  • Environmental Engineering 107
  • Aerospace Engineering 184
  • Astronomy and Astrophysics 70
  • Signal Processing 18
Replace Redmond Kelley with:
Redmond Kelley United States
John Meier United States
Igor R. Ivić United States
Damon Bradley United States
Rafael Rincon United States
Masakazu Wada Japan
Fumihiko Mizutani Japan
William Benner United States
Bradley Isom United States
Christopher D. Curtis United States
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Citations per field
00.5×2.7×
Redmond Kelley · 1×
Citations per year

Countries citing papers authored by David Schvartzman

Since Specialization
Citations

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

Fields of papers citing papers by David Schvartzman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David Schvartzman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David Schvartzman Line = papers co-authored together David Schvartzman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202348
2 202122
3 201820
4 201919
5 202312
6 202211
7 201710
8 202310
9 20209
10 20238
11 20238
12 20218
13 20207
14 20207
15 20226
16 20246
17 20236
18 20245
19 20225
20 20205

About David Schvartzman

David Schvartzman is a scholar working on Atmospheric Science, Aerospace Engineering, Environmental Engineering, Astronomy and Astrophysics and Electrical and Electronic Engineering, having authored 56 papers that have together received 297 indexed citations. Recurring topics across this work include Precipitation Measurement and Analysis (34 papers), Soil Moisture and Remote Sensing (23 papers), Meteorological Phenomena and Simulations (19 papers), Radio Astronomy Observations and Technology (16 papers), Antenna Design and Optimization (12 papers), Radio Wave Propagation Studies (12 papers), Radar Systems and Signal Processing (9 papers) and Electromagnetic Compatibility and Measurements (5 papers). The work is most often cited by research in Atmospheric Science (161 citations), Environmental Engineering (107 citations), Aerospace Engineering (184 citations), Astronomy and Astrophysics (70 citations) and Signal Processing (18 citations). David Schvartzman has collaborated with scholars based in United States, Switzerland and Japan. Frequent co-authors include Sebastián M. Torres, Robert D. Palmer, Tian‐You Yu, Christopher D. Curtis, Jorge L. Salazar-Cerreño, Dušan S. Zrnić, Mark Yeary, Caleb Fulton, Boon Leng Cheong and Redmond Kelley. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Journal of Atmospheric and Oceanic Technology, Remote Sensing, IEEE Geoscience and Remote Sensing Letters and Geophysical Research Letters.

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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