Mo Se Kim

601 total citations
12 papers, 396 citations indexed

About

Mo Se Kim is a scholar working on Mechanical Engineering, Biomedical Engineering and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Mo Se Kim has authored 12 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Mechanical Engineering, 3 papers in Biomedical Engineering and 2 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Mo Se Kim's work include Refrigeration and Air Conditioning Technologies (8 papers), Advanced Thermodynamic Systems and Engines (4 papers) and Heat Transfer and Boiling Studies (3 papers). Mo Se Kim is often cited by papers focused on Refrigeration and Air Conditioning Technologies (8 papers), Advanced Thermodynamic Systems and Engines (4 papers) and Heat Transfer and Boiling Studies (3 papers). Mo Se Kim collaborates with scholars based in South Korea, United States and Ethiopia. Mo Se Kim's co-authors include Min Soo Kim, Jae Seung Lee, Minsung Kim, Jae‐Seung Lee, Dong‐Kyu Kim, Ji Sung Lee, Junseok Lee, Jin Lee, Yoong Chung and Sung-Nam Lim and has published in prestigious journals such as Applied Energy, Medicine and International Journal of Refrigeration.

In The Last Decade

Mo Se Kim

12 papers receiving 368 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mo Se Kim South Korea 10 367 135 42 37 29 12 396
Hyun Joon Chung South Korea 13 372 1.0× 92 0.7× 63 1.5× 18 0.5× 13 0.4× 21 415
J. Karwacki Poland 8 344 0.9× 112 0.8× 32 0.8× 10 0.3× 44 1.5× 42 401
Daniel Calleja-Anta Spain 14 473 1.3× 182 1.3× 57 1.4× 6 0.2× 21 0.7× 26 499
Eric Winandy Belgium 11 532 1.4× 34 0.3× 97 2.3× 23 0.6× 63 2.2× 17 568
Wimolsiri Pridasawas Thailand 7 380 1.0× 65 0.5× 27 0.6× 17 0.5× 9 0.3× 17 448
Zuliang Ye China 12 477 1.3× 246 1.8× 102 2.4× 9 0.2× 15 0.5× 17 519
Xianling Wang China 9 216 0.6× 118 0.9× 18 0.4× 16 0.4× 22 0.8× 14 293
Hans Havtun Sweden 5 666 1.8× 234 1.7× 41 1.0× 5 0.1× 28 1.0× 14 697
Jesús Catalán‐Gil Spain 16 1.0k 2.9× 367 2.7× 128 3.0× 12 0.3× 30 1.0× 23 1.1k
S. N. Sapali India 8 238 0.6× 51 0.4× 24 0.6× 7 0.2× 39 1.3× 31 322

Countries citing papers authored by Mo Se Kim

Since Specialization
Citations

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

Fields of papers citing papers by Mo Se Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mo Se Kim. 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 Mo Se Kim. The network helps show where Mo Se Kim may publish in the future.

Co-authorship network of co-authors of Mo Se Kim

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

All Works

12 of 12 papers shown
1.
Kim, Mo Se, et al.. (2020). Robust estimation of outage costs in South Korea using a machine learning technique: Bayesian Tobit quantile regression. Applied Energy. 278. 115702–115702. 9 indexed citations
2.
3.
Chung, Yoong, et al.. (2018). Experimental study on the performance of multi-split heat pump system with thermal energy storage. International Journal of Refrigeration. 88. 523–537. 10 indexed citations
4.
Kim, Mo Se, et al.. (2017). Investigation on the optimal control of gas cooler pressure for a CO2 refrigeration system with an internal heat exchanger. International Journal of Refrigeration. 77. 48–59. 29 indexed citations
5.
Kim, Mo Se, et al.. (2017). Performance analysis of vapor injection heat pump system for electric vehicle in cold startup condition. International Journal of Refrigeration. 80. 24–36. 42 indexed citations
6.
7.
Kim, Mo Se, et al.. (2016). Performance evaluation of a vapor injection heat pump system for electric vehicles. International Journal of Refrigeration. 74. 138–150. 94 indexed citations
8.
Kim, Mo Se, et al.. (2014). A study on the real time optimal control method for heat rejection pressure of a CO2 refrigeration system with an internal heat exchanger. International Journal of Refrigeration. 48. 87–99. 25 indexed citations
9.
Lee, Jae‐Seung, et al.. (2013). Studies on the performance of a CO2 air conditioning system using an ejector as an expansion device. International Journal of Refrigeration. 38. 140–152. 41 indexed citations
10.
Lee, Jae Seung, et al.. (2010). Experimental study on the improvement of CO2 air conditioning system performance using an ejector. International Journal of Refrigeration. 34(7). 1614–1625. 73 indexed citations
11.
Kim, Mo Se, Jae Seung Lee, & Min Soo Kim. (2009). An Experimental Study on the Performance of CO₂ Air-conditioning Cycle Equipped with an Ejector. 17(3). 100–106. 11 indexed citations
12.
Choi, Jong Won, et al.. (2009). A numerical study on oil retention and migration characteristics in the heat pump system. Journal of Mechanical Science and Technology. 23(7). 1858–1865. 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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