Kyo‐Moon Shim

621 total citations
60 papers, 485 citations indexed

About

Kyo‐Moon Shim is a scholar working on Ecology, Evolution, Behavior and Systematics, Global and Planetary Change and Plant Science. According to data from OpenAlex, Kyo‐Moon Shim has authored 60 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Ecology, Evolution, Behavior and Systematics, 20 papers in Global and Planetary Change and 15 papers in Plant Science. Recurrent topics in Kyo‐Moon Shim's work include Agriculture, Soil, Plant Science (24 papers), Climate variability and models (13 papers) and Soil Carbon and Nitrogen Dynamics (12 papers). Kyo‐Moon Shim is often cited by papers focused on Agriculture, Soil, Plant Science (24 papers), Climate variability and models (13 papers) and Soil Carbon and Nitrogen Dynamics (12 papers). Kyo‐Moon Shim collaborates with scholars based in South Korea, Hong Kong and United States. Kyo‐Moon Shim's co-authors include Joong‐Bae Ahn, Myung‐Pyo Jung, Minseok Kang, Gun-Yeob Kim, Eun‐Soon Im, Hyun-Cheol Jeong, Deog-Bae Lee, Yan Huang, Youngryel Ryu and Chongya Jiang and has published in prestigious journals such as Remote Sensing of Environment, Agriculture Ecosystems & Environment and Agricultural and Forest Meteorology.

In The Last Decade

Kyo‐Moon Shim

53 papers receiving 407 citations

Peers

Kyo‐Moon Shim

GPC

EEBS

AS

ECOLO

PS

Rishiraj Dutta India

Jin I. Yun South Korea

A. K. Whitcraft United States

Olivier Léo Italy

R. R. Nemani United States

Tamuka Magadzire United States

R. van der Wijngaart Netherlands

Azfar Hussain China

Hubert Varella France

Hayat Lionboui Morocco

Rishiraj Dutta India

Kyo‐Moon Shim

307 ×1.1

GPC

76 ×0.5

EEBS

135 ×1.0

AS

263 ×2.0

ECOLO

72 ×0.6

PS

Citations per year, relative to Kyo‐Moon Shim Kyo‐Moon Shim (= 1×) peers Rishiraj Dutta

Countries citing papers authored by Kyo‐Moon Shim

Since Specialization

Citations

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

Fields of papers citing papers by Kyo‐Moon Shim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyo‐Moon Shim. 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 Kyo‐Moon Shim. The network helps show where Kyo‐Moon Shim may publish in the future.

Co-authorship network of co-authors of Kyo‐Moon Shim

This figure shows the co-authorship network connecting the top 25 collaborators of Kyo‐Moon Shim. A scholar is included among the top collaborators of Kyo‐Moon Shim 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 Kyo‐Moon Shim. Kyo‐Moon Shim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Kim, Minjae, et al.. (2024). Protection of LLM Environment Using Prompt Security. 1715–1719.

2.

Ahn, Joong‐Bae, Kyo‐Moon Shim, Myoung‐Seok Suh, et al.. (2023). Projections of suitable cultivation area for major fruit trees and climate‐type in South Korea under representative concentration pathway scenarios using the ensemble of high‐resolution regional climate models. International Journal of Climatology. 43(10). 4552–4571. 2 indexed citations

3.

Im, Eun‐Soon, et al.. (2023). Impacts of meteorological variables and machine learning algorithms on rice yield prediction in Korea. International Journal of Biometeorology. 67(11). 1825–1838. 5 indexed citations

4.

Shim, Kyo‐Moon, et al.. (2020). Future Changes of Agro-Climate and Heat Extremes over S. Korea at 2 and 3 °C Global Warming Levels with CORDEX-EA Phase 2 Projection. Atmosphere. 11(12). 1336–1336. 4 indexed citations

5.

Ahn, Joong‐Bae, Kyo‐Moon Shim, Myoung‐Seok Suh, et al.. (2020). Climatic yield potential of Japonica‐type rice in the Korean Peninsula under RCP scenarios using the ensemble of multi‐GCM and multi‐RCM chains. International Journal of Climatology. 41(S1). 8 indexed citations

6.

Shim, Kyo‐Moon, et al.. (2020). Extreme Weather Frequency Data over 167 Si-gun of S. Korea with High-resolution Topo-climatology Model. Korean Journal of Agricultural and Forest Meteorology. 22(3). 164–170.

7.

Choi, Sung-Won, Joon Kim, Minseok Kang, et al.. (2018). Estimation and Mapping of Methane Emissions from Rice Paddies in Korea: Analysis of Regional Differences and Characteristics. Korean Journal of Agricultural and Forest Meteorology. 20(1). 88–100. 6 indexed citations

8.

Kim, Hojung & Kyo‐Moon Shim. (2018). Land suitability assessment for apple (Malus domestica) in the Republic of Korea using integrated soil and climate information, MLCM, and AHP. International journal of agricultural and biological engineering. 11(2). 139–144. 1 indexed citations

9.

Kim, Hojung & Kyo‐Moon Shim. (2018). Land suitability assessment for apple (Malus domestica) in the Republic of Korea using integrated soil and climate information, MLCM, and AHP. International journal of agricultural and biological engineering. 11(2). 139–144. 5 indexed citations

10.

Kim, Yongseok, et al.. (2017). Study on the Estimation of Frost Occurrence Classification Using Machine Learning Methods. Korean Journal of Agricultural and Forest Meteorology. 19(3). 86–92. 4 indexed citations

11.

Shim, Kyo‐Moon, et al.. (2016). The Estimation of Annual Net Ecosystem Exchange of CO₂in an Apple Orchard Ecosystem of South Korea. Korean Journal of Agricultural and Forest Meteorology. 18(4). 348–356. 1 indexed citations

12.

Jung, Myung‐Pyo, Hye‐Jin Park, Kyo‐Moon Shim, & Joong‐Bae Ahn. (2016). Temporal and Spatial Distribution of Growing Degree Days for Maize in Northeast District of China. Korean Journal of Environmental Agriculture. 35(4). 302–305. 1 indexed citations

13.

Kim, Jin Hee, et al.. (2015). A drought index designed for field-scale water management. Asia-Pacific Journal of Atmospheric Sciences. 51(3). 197–203. 1 indexed citations

14.

Shim, Kyo‐Moon, et al.. (2014). Panel analysis of radish yield using air temperature. Korean Journal of Agricultural Science. 41(4). 481–485.

15.

Jung, Jisun, et al.. (2014). Characteristics of Accumulated Soil Carbon and Soil Respiration on Vegetation in Namhangang Basin. Environmental Biology Research. 32(4). 363–370. 1 indexed citations

16.

Shim, Kyo‐Moon. (2008). Cryptanalysis and Enhancement of Modified Gateway-Oriented Password-Based Authenticated Key Exchange Protocol. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. E91-A(12). 3837–3839. 7 indexed citations

17.

Kim, Gun-Yeob, et al.. (2008). Evaluation of Green House Gases Emissions According to Changes of Soil Water Content, Soil Temperature and Mineral N with Different Soil Texture in Pepper Cultivation. 41(6). 399–407. 9 indexed citations

18.

Shim, Kyo‐Moon. (2007). Further Analysis of ID-Based Authenticated Group Key Agreement Protocol from Bilinear Maps. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. E90-A(1). 295–298. 18 indexed citations

19.

Kim, Gun-Yeob, et al.. (2006). Predicting N2O Emission from Upland Cultivated with Pepper through Related Soil Parameters. 39(5). 253–258. 5 indexed citations

20.

Shim, Kyo‐Moon, et al.. (2002). Impact of Recent Weather Variation on Yield Components andGrowth Stages of Winter Barley in Korea. Korean Journal of Agricultural and Forest Meteorology. 4(1). 38–48. 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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