E. Im

5.3k total citations · 1 hit paper
121 papers, 2.9k citations indexed

About

E. Im is a scholar working on Atmospheric Science, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, E. Im has authored 121 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 103 papers in Atmospheric Science, 52 papers in Environmental Engineering and 31 papers in Global and Planetary Change. Recurrent topics in E. Im's work include Precipitation Measurement and Analysis (97 papers), Meteorological Phenomena and Simulations (71 papers) and Soil Moisture and Remote Sensing (52 papers). E. Im is often cited by papers focused on Precipitation Measurement and Analysis (97 papers), Meteorological Phenomena and Simulations (71 papers) and Soil Moisture and Remote Sensing (52 papers). E. Im collaborates with scholars based in United States, Italy and Japan. E. Im's co-authors include Stephen L. Durden, Simone Tanelli, Ziad S. Haddad, John M. Haynes, Philip T. Partain, Paul Chang, Graeme L. Stephens, E. G. Njoku, Li Li and Chialin Wu and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Remote Sensing of Environment and Proceedings of the IEEE.

In The Last Decade

E. Im

110 papers receiving 2.8k citations

Hit Papers

CloudSat mission: Performance and early science after the... 2008 2026 2014 2020 2008 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. CloudSat mission: Performance and early science after the first year of operation
    2008 799 citations Graeme L. Stephens, Simone Tanelli et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E. Im United States 24 2.2k 1.4k 661 435 266 121 2.9k
Chao Liu China 29 1.8k 0.8× 1.5k 1.1× 298 0.5× 151 0.3× 69 0.3× 133 2.6k
Sutanu Sarkar United States 28 986 0.5× 433 0.3× 857 1.3× 622 1.4× 923 3.5× 96 3.3k
Andreas Bott Germany 28 2.3k 1.0× 1.9k 1.4× 716 1.1× 159 0.4× 120 0.5× 88 2.9k
Joachim Reuder Norway 28 1.3k 0.6× 1.1k 0.8× 713 1.1× 607 1.4× 199 0.7× 122 2.2k
H. J. S. Fernando United States 27 863 0.4× 431 0.3× 657 1.0× 149 0.3× 437 1.6× 72 2.2k
Dieter Just Germany 12 1.1k 0.5× 932 0.7× 470 0.7× 644 1.5× 105 0.4× 41 1.9k
Joshua Wurman United States 40 3.7k 1.7× 2.0k 1.5× 1.6k 2.4× 231 0.5× 246 0.9× 101 4.0k
Albin J. Gasiewski United States 27 1.5k 0.7× 490 0.4× 755 1.1× 352 0.8× 166 0.6× 144 1.9k
Y. Takano United States 26 2.5k 1.2× 2.6k 1.9× 120 0.2× 266 0.6× 51 0.2× 71 3.0k
Bryan A. Baum United States 46 7.0k 3.2× 7.4k 5.5× 315 0.5× 609 1.4× 110 0.4× 159 8.2k

Countries citing papers authored by E. Im

Since Specialization
Citations

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

Fields of papers citing papers by E. Im

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. Im

This figure shows the co-authorship network connecting the top 25 collaborators of E. Im. A scholar is included among the top collaborators of E. Im 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 E. Im. E. Im 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.
Seo, Hyun‐Ju, Ji Sung Lee, Young‐Eun Jang, et al.. (2025). The Effects of Early Oral Intake in the Postanesthesia Care Unit on Nausea and Vomiting: A Meta-analysis of Randomized Controlled Trials. Journal of PeriAnesthesia Nursing. 40(5). 1366–1374.e2. 1 indexed citations
2.
Peral, Eva, Austin Williams, Simone Tanelli, et al.. (2019). Raincube – A New Paradigm to Observe Weather Processes. 4978–4981. 3 indexed citations
3.
Peral, Eva, E. Im, Lauren Wye, et al.. (2018). Radar Technologies for Earth Remote Sensing From CubeSat Platforms. Proceedings of the IEEE. 106(3). 404–418. 74 indexed citations
4.
Peral, Eva, Simone Tanelli, Ziad S. Haddad, Graeme L. Stephens, & E. Im. (2014). RaInCube: a proposed constellation of precipitation profiling Radars In Cubesat. AGU Fall Meeting Abstracts. 2014. 11 indexed citations
5.
Lewis, William E., E. Im, Simone Tanelli, et al.. (2011). Geostationary Doppler Radar and Tropical Cyclone Surveillance. Journal of Atmospheric and Oceanic Technology. 28(10). 1185–1191. 8 indexed citations
6.
Tanelli, Simone, E. Im, Stephen L. Durden, Dino Giuli, & Luca Facheris. (2008). Spaceborne Doppler radars for atmospheric dynamics and energy budget studies. Florence Research (University of Florence). 1 indexed citations
7.
Im, E.. (2007). Workshop report on Nexrad-In-Space—a geostationary satellite Doppler weather radar for hurricane studies. 9 indexed citations
8.
9.
Haddad, Ziad S., et al.. (2006). Drop Size Ambiguities in the Retrieval of Precipitation Profiles from Dual-Frequency Radar Measurements. Journal of the Atmospheric Sciences. 63(1). 204–217. 17 indexed citations
10.
Im, E., et al.. (2005). Airborne and spaceborne cloud radar designs. 2. 672–674.
11.
Im, E., Chialin Wu, & Stephen L. Durden. (2005). Cloud profiling radar for the cloudsat mission. 483–486. 23 indexed citations
12.
Kobayashi, S., Simone Tanelli, E. Im, & Toshio Iguchi. (2004). Backscattering enhancement with a finite beam width for millimeter-wavelength weather radars. Proceedings of SPIE - The International Society for Optical Engineering. 5654. 106–113.
13.
Kobayashi, S., Simone Tanelli, & E. Im. (2004). Effects of Multiple Scattering for Millimeter-Wavelength Weather Radars.
14.
Li, Li, E. Im, L. N. Connor, & Paul Chang. (2004). Retrieving ocean surface wind speed from the TRMM Precipitation Radar measurements. IEEE Transactions on Geoscience and Remote Sensing. 42(6). 1271–1282. 44 indexed citations
15.
16.
Durden, Stephen L., et al.. (2003). Comparison of TRMM Precipitation Radar and Airborne Radar Data. Journal of Applied Meteorology. 42(6). 769–774. 13 indexed citations
17.
Im, E., Stephen L. Durden, Ziad S. Haddad, et al.. (2002). Second-generation spaceborne precipitation radar. 3. 1361–1363. 3 indexed citations
18.
Coppens, Dorothée, Ziad S. Haddad, & E. Im. (2000). Estimating the Uncertainty in Passive-Microwave Rain Retrievals. Journal of Atmospheric and Oceanic Technology. 17(12). 1618–1629. 8 indexed citations
19.
Haddad, Ziad S., E. Im, Stephen L. Durden, & S. Hensley. (1996). Stochastic Filtering of Rain Profiles Using Radar, Surface-Referenced Radar, or Combined RadarRadiometer Measurements. Journal of Applied Meteorology. 35(2). 229–242. 16 indexed citations
20.
Haddad, Ziad S., A. R. Jameson, E. Im, & Stephen L. Durden. (1995). Improved CoupledZRandkRRelations and the Resulting Ambiguities in the Determination of the Vertical Distribution of Rain from the Radar Backscatter and the Integrated Attenuation. Journal of Applied Meteorology. 34(12). 2680–2688. 4 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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