Jinah Eom

648 total citations
24 papers, 530 citations indexed

About

Jinah Eom is a scholar working on Oceanography, Global and Planetary Change and Ecology. According to data from OpenAlex, Jinah Eom has authored 24 papers receiving a total of 530 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oceanography, 9 papers in Global and Planetary Change and 8 papers in Ecology. Recurrent topics in Jinah Eom's work include Marine and coastal ecosystems (7 papers), Coastal and Marine Dynamics (6 papers) and Coastal wetland ecosystem dynamics (6 papers). Jinah Eom is often cited by papers focused on Marine and coastal ecosystems (7 papers), Coastal and Marine Dynamics (6 papers) and Coastal wetland ecosystem dynamics (6 papers). Jinah Eom collaborates with scholars based in South Korea, Yemen and France. Jinah Eom's co-authors include Joo-Hyung Ryu, Jong-Kuk Choi, Hak-Soo Lim, Joo‐Hyung Ryu, Jong-Kuk Choi, Chang-Wook Lee, Jeong-Eon Moon, Bo Ram Lee, Joong‐Sun Won and Mutiara Syifa and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Remote Sensing of Environment and Marine Geology.

In The Last Decade

Jinah Eom

24 papers receiving 511 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jinah Eom South Korea 8 311 163 161 110 86 24 530
Xiulin Lou China 12 401 1.3× 83 0.5× 120 0.7× 131 1.2× 76 0.9× 39 569
Francesco Maicu Italy 13 271 0.9× 101 0.6× 150 0.9× 98 0.9× 135 1.6× 22 461
Shilin Tang China 15 358 1.2× 126 0.8× 122 0.8× 55 0.5× 36 0.4× 45 513
Shengqiang Wang China 17 556 1.8× 176 1.1× 203 1.3× 73 0.7× 32 0.4× 65 716
Philippe Garnesson France 8 367 1.2× 147 0.9× 141 0.9× 46 0.4× 45 0.5× 12 479
Gema Casal Ireland 12 375 1.2× 154 0.9× 268 1.7× 51 0.5× 98 1.1× 23 686
Daniel Jensen United States 11 130 0.4× 196 1.2× 181 1.1× 66 0.6× 45 0.5× 26 531
Lachlan I. W. McKinna United States 14 630 2.0× 286 1.8× 444 2.8× 71 0.6× 77 0.9× 26 872
Shuangyan He China 13 257 0.8× 137 0.8× 72 0.4× 133 1.2× 25 0.3× 51 446
Rivo Uiboupin Estonia 11 267 0.9× 86 0.5× 77 0.5× 77 0.7× 36 0.4× 43 405

Countries citing papers authored by Jinah Eom

Since Specialization
Citations

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

Fields of papers citing papers by Jinah Eom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinah Eom

This figure shows the co-authorship network connecting the top 25 collaborators of Jinah Eom. A scholar is included among the top collaborators of Jinah Eom 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 Jinah Eom. Jinah Eom 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.
2.
Eom, Jinah, et al.. (2020). Monitoring of Lake area Change and Drought using Landsat Images and the Artificial Neural Network Method in Lake Soyang, Chuncheon, Korea. Journal of the Korean earth science society. 41(2). 129–136. 2 indexed citations
3.
Lee, Seulki, et al.. (2020). Estimating the potential risk of the Mt. Baekdu Volcano using a synthetic interferogram and the LAHARZ inundation zone. Geosciences Journal. 24(6). 755–768. 4 indexed citations
4.
Park, Sungjae, et al.. (2020). Changes Detection of Ice Dimension in Cheonji, Baekdu Mountain Using Sentinel-1 Image Classification. Journal of the Korean earth science society. 41(1). 31–39. 1 indexed citations
5.
Hakim, Wahyu Luqmanul, et al.. (2020). Land Subsidence Measurement of Jakarta Coastal Area Using Time Series Interferometry with Sentinel-1 SAR Data. Journal of Coastal Research. 102(sp1). 27 indexed citations
6.
Eom, Jinah, et al.. (2019). Analysis on the Spectral Characteristics of Dolomite and Calcite: Okgye-myeon, Gangneung-si, Gangwon-do. National Remote Sensing Bulletin. 35(6). 1261–1271. 1 indexed citations
7.
Syifa, Mutiara, et al.. (2019). Flood Mapping Using Remote Sensing Imagery and Artificial Intelligence Techniques: A Case Study in Brumadinho, Brazil. Journal of Coastal Research. 90(sp1). 197–197. 36 indexed citations
8.
Eom, Jinah, et al.. (2019). Monitoring Variation in Sea Surface Temperature in the Nakdong River Estuary, Korea, Using Multiple Satellite Images. Journal of Coastal Research. 90(sp1). 183–183. 2 indexed citations
9.
Lee, Yoon-Kyung, et al.. (2019). Shoreline Movement Monitoring and Geomorphologic Changes of Beaches Using Lidar and UAVs Images on the Coast of the East Sea, Korea. Journal of Coastal Research. 90(sp1). 409–409. 6 indexed citations
10.
Eom, Jinah, et al.. (2017). Monitoring of the Estuary Sand Bar Related with Tidal Inlet in Namdaecheon Stream using Landsat Imagery. National Remote Sensing Bulletin. 33. 481–493. 3 indexed citations
11.
12.
13.
Eom, Jinah, Yoon-Kyung Lee, Jong-Kuk Choi, et al.. (2014). Monitoring of the Suspended Sediments Concentration in Gyeonggi-bay Using COMS/GOCI and Landsat ETM+ Images. Economic and Environmental Geology. 47(1). 39–48. 3 indexed citations
14.
Eom, Jinah, et al.. (2013). Standardization of sedimentary facies and topography based on the tidal channel type in Western coastal area, Korea. Journal of Coastal Research. 165. 1373–1378. 4 indexed citations
15.
Eom, Jinah, Jong-Kuk Choi, Joo-Hyung Ryu, et al.. (2012). Tidal channel distribution in relation to surface sedimentary facies based on remotely sensed data. Geosciences Journal. 16(2). 127–137. 16 indexed citations
16.
Choi, Jong-Kuk, et al.. (2012). GOCI, the world's first geostationary ocean color observation satellite, for the monitoring of temporal variability in coastal water turbidity. Journal of Geophysical Research Atmospheres. 117(C9). 240 indexed citations
17.
Ryu, Joo-Hyung, et al.. (2011). A Study of Decadal Sedimentation Trend Changes by Waterline Comparisons within the Ganghwa Tidal Flats Initiated by Human Activities. Journal of Coastal Research. 276. 857–869. 27 indexed citations
18.
Choi, Jong-Kuk, Joo‐Hyung Ryu, Jinah Eom, & Jae Hoon Noh. (2010). Analysis on the seasonal variations of microphytobenthos distribution in a tidal flat using remotely sensed data. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7858. 78580Q–78580Q. 2 indexed citations
19.
Eom, Jinah, Jong-Kuk Choi, Joo-Hyung Ryu, Han Jun Woo, & Joong‐Sun Won. (2010). Study on the sediment classification in a tidal flat considering the pattern of channel distribution. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7858. 78580R–78580R. 5 indexed citations
20.
Lee, Yoon-Kyung, Jinah Eom, Joo‐Hyung Ryu, & Joong‐Sun Won. (2007). Analyzing Spectral Characteristics of Salt Marsh Vegetation Around Donggumdo Tidal Flat in Ganghwado, Korea. National Remote Sensing Bulletin. 23(6). 575–581. 3 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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