Kyung-Suk Suh

610 total citations
42 papers, 400 citations indexed

About

Kyung-Suk Suh is a scholar working on Global and Planetary Change, Safety, Risk, Reliability and Quality and Radiological and Ultrasound Technology. According to data from OpenAlex, Kyung-Suk Suh has authored 42 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Global and Planetary Change, 13 papers in Safety, Risk, Reliability and Quality and 11 papers in Radiological and Ultrasound Technology. Recurrent topics in Kyung-Suk Suh's work include Radioactive contamination and transfer (28 papers), Nuclear and radioactivity studies (13 papers) and Radioactivity and Radon Measurements (11 papers). Kyung-Suk Suh is often cited by papers focused on Radioactive contamination and transfer (28 papers), Nuclear and radioactivity studies (13 papers) and Radioactivity and Radon Measurements (11 papers). Kyung-Suk Suh collaborates with scholars based in South Korea, Spain and Japan. Kyung-Suk Suh's co-authors include R. Periáñez, Moon Hee Han, Vladimir Maderіch, Igor Brovchenko, Takuya Kobayashi, B. I. Min, In‐Gyu Kim, C. Duffa, H. Nies and I. Osvath and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and Environmental Pollution.

In The Last Decade

Kyung-Suk Suh

37 papers receiving 396 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kyung-Suk Suh South Korea 12 329 155 142 59 55 42 400
C. Duffa France 12 289 0.9× 165 1.1× 109 0.8× 63 1.1× 40 0.7× 33 412
M. Iøsjpe Norway 11 318 1.0× 167 1.1× 115 0.8× 72 1.2× 30 0.5× 29 374
Roman Bezhenar Ukraine 14 436 1.3× 225 1.5× 181 1.3× 31 0.5× 63 1.1× 36 499
Philippe Laguionie France 11 345 1.0× 183 1.2× 94 0.7× 75 1.3× 81 1.5× 23 470
R. Heling Netherlands 13 341 1.0× 177 1.1× 132 0.9× 17 0.3× 37 0.7× 24 415
Wu Men China 12 328 1.0× 190 1.2× 113 0.8× 42 0.7× 180 3.3× 39 483
B. Lind Norway 13 300 0.9× 200 1.3× 68 0.5× 128 2.2× 66 1.2× 24 438
Teiji In Japan 8 319 1.0× 118 0.8× 111 0.8× 34 0.6× 91 1.7× 14 371
Hideyuki Kawamura Japan 14 548 1.7× 268 1.7× 231 1.6× 125 2.1× 169 3.1× 31 715
Olivier Masson France 14 407 1.2× 309 2.0× 124 0.9× 167 2.8× 49 0.9× 30 533

Countries citing papers authored by Kyung-Suk Suh

Since Specialization
Citations

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

Fields of papers citing papers by Kyung-Suk Suh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyung-Suk Suh. 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 Kyung-Suk Suh. The network helps show where Kyung-Suk Suh may publish in the future.

Co-authorship network of co-authors of Kyung-Suk Suh

This figure shows the co-authorship network connecting the top 25 collaborators of Kyung-Suk Suh. A scholar is included among the top collaborators of Kyung-Suk Suh 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 Kyung-Suk Suh. Kyung-Suk Suh 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.
Suh, Kyung-Suk, et al.. (2023). A Study on Radiological Hazard Assessment for Jordan Research and Training Reactor. Atmosphere. 14(5). 859–859. 1 indexed citations
3.
Periáñez, R., Igor Brovchenko, Takuya Kobayashi, et al.. (2023). Some considerations on the dependence to numerical schemes of Lagrangian radionuclide transport models for the aquatic environment. Journal of Environmental Radioactivity. 261. 107138–107138. 3 indexed citations
4.
Suh, Kyung-Suk, et al.. (2022). Machine learning method using camera image patterns for predictions of particulate matter concentrations. Atmospheric Pollution Research. 13(3). 101325–101325. 3 indexed citations
5.
Min, B. I., et al.. (2020). Technical Status of Environmental Radiation Monitoring using a UAV and Its Field Application to the Aerial Survey. Journal of the Korea Industrial Information Systems Research. 25(5). 31–39. 2 indexed citations
6.
Park, Kihyun, et al.. (2020). Impacts of Volcanic Eruptions around the Korean Peninsula: A Long-term Simulation Study for Hypothetical Eruption Scenarios. Korean Society of Hazard Mitigation. 20(5). 361–371.
7.
Park, Kihyun, et al.. (2018). Utilization of the LADAS model within Emergency Response Systems in Korea. EGU General Assembly Conference Abstracts. 6154. 1 indexed citations
8.
Park, Kihyun, et al.. (2018). ASSESSMENT OF RADIOLOGICAL DOSES FOR PEOPLE LIVING IN KOREA FOLLOWING ACCIDENTAL RELEASES OF RADIONUCLIDES FROM NUCLEAR POWER PLANTS IN KOREA AND CHINA. Radiation Protection Dosimetry. 184(1). 54–65. 4 indexed citations
9.
Periáñez, R., et al.. (2018). The behaviour of 236U in the North Atlantic Ocean assessed from numerical modelling: A new evaluation of the input function into the Arctic. The Science of The Total Environment. 626. 255–263. 11 indexed citations
10.
Suh, Kyung-Suk, et al.. (2016). Estimation of the radionuclides emission region using trajectory and atmospheric dispersion models. Annals of Nuclear Energy. 94. 626–632. 5 indexed citations
11.
Periáñez, R., Roman Bezhenar, Igor Brovchenko, et al.. (2016). Modelling of marine radionuclide dispersion in IAEA MODARIA program: Lessons learnt from the Baltic Sea and Fukushima scenarios. The Science of The Total Environment. 569-570. 594–602. 28 indexed citations
12.
Lee, Gyumin, et al.. (2015). A Study on Tsunami Vulnerability Assessment in South Korea. The Twenty-fifth International Ocean and Polar Engineering Conference. 1 indexed citations
13.
Periáñez, R., Igor Brovchenko, C. Duffa, et al.. (2015). A new comparison of marine dispersion model performances for Fukushima Dai-ichi releases in the frame of IAEA MODARIA program. Journal of Environmental Radioactivity. 150. 247–269. 35 indexed citations
14.
Periáñez, R., et al.. (2014). Assessment in marine environment for a hypothetic nuclear accident based on the database of tidal harmonic constants. Marine Pollution Bulletin. 87(1-2). 269–275. 6 indexed citations
15.
Han, Moon Hee, et al.. (2014). Simulation of the Dispersion of Radioactive Effluents over the Kori site using Field Tracer Experiment.
16.
Periáñez, R., et al.. (2013). Marine dispersion assessment of 137Cs released from the Fukushima nuclear accident. Marine Pollution Bulletin. 72(1). 22–33. 32 indexed citations
17.
Suh, Kyung-Suk, et al.. (2011). Numerical analysis of a pollutant dispersion in subsurface soil. Mathematical and Computer Modelling. 54(11-12). 3197–3203. 1 indexed citations
18.
Suh, Kyung-Suk, et al.. (2009). Determination of dispersion coefficients using radioisotope data in river environment. Applied Radiation and Isotopes. 67(7-8). 1499–1502. 1 indexed citations
19.
Suh, Kyung-Suk, Moon Hee Han, Sung Hee Jung, & Chang‐Woo Lee. (2008). Inter-Comparison Study of the ENSEMBLE Project. Journal of Nuclear Science and Technology. 45(sup5). 647–649. 2 indexed citations
20.
Suh, Kyung-Suk, et al.. (2004). Numerical Simulation for the Field Tracer Experiment over the Kori Nuclear Power Plant. Journal of Radiation Protection and Research. 29(3). 205–212. 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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