Sahm Kim

489 total citations
26 papers, 307 citations indexed

About

Sahm Kim is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Sahm Kim has authored 26 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Electrical and Electronic Engineering, 9 papers in Artificial Intelligence and 6 papers in Management Science and Operations Research. Recurrent topics in Sahm Kim's work include Energy Load and Power Forecasting (14 papers), Solar Radiation and Photovoltaics (7 papers) and Grey System Theory Applications (4 papers). Sahm Kim is often cited by papers focused on Energy Load and Power Forecasting (14 papers), Solar Radiation and Photovoltaics (7 papers) and Grey System Theory Applications (4 papers). Sahm Kim collaborates with scholars based in South Korea and United States. Sahm Kim's co-authors include Yunsun Kim, Sujin Park, Hee-Jun Park, Jin‐Young Lee, Jae-Yoon Jung, Ju Hyoung Lee and Jong‐Min Kim and has published in prestigious journals such as IEEE Access, Energies and Energy Reports.

In The Last Decade

Sahm Kim

23 papers receiving 286 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sahm Kim South Korea	7	231	65	64	63	57	26	307
Xavier Serrano‐Guerrero Ecuador	12	251 1.1×	71 1.1×	33 0.5×	83 1.3×	74 1.3×	38	361
Hanif Tayarani Iran	6	342 1.5×	64 1.0×	28 0.4×	52 0.8×	115 2.0×	9	434
Leyna Sadamori Switzerland	7	272 1.2×	54 0.8×	105 1.6×	67 1.1×	21 0.4×	13	371
Nicole Ludwig Germany	11	265 1.1×	56 0.9×	30 0.5×	44 0.7×	23 0.4×	33	354
Bertrand Cornélusse Belgium	13	521 2.3×	30 0.5×	43 0.7×	65 1.0×	69 1.2×	48	620
Soner Haldenbılen Türkiye	8	165 0.7×	72 1.1×	59 0.9×	98 1.6×	78 1.4×	21	364
Haihong Bian China	10	201 0.9×	85 1.3×	40 0.6×	75 1.2×	57 1.0×	24	294
Colin Singleton United Kingdom	7	507 2.2×	95 1.5×	102 1.6×	62 1.0×	22 0.4×	9	576
Narcís Avellana Spain	5	305 1.3×	38 0.6×	42 0.7×	44 0.7×	17 0.3×	10	418
Simon Waczowicz Germany	9	322 1.4×	60 0.9×	88 1.4×	84 1.3×	40 0.7×	35	417

Countries citing papers authored by Sahm Kim

Since Specialization

Citations

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

Fields of papers citing papers by Sahm Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sahm Kim

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

All Works

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20 of 20 papers shown

Kim, Sahm, et al.. (2023). Time-series clustering and forecasting household electricity demand using smart meter data. Energy Reports. 9. 4111–4121. 25 indexed citations

Kim, Sahm. (2023). A study on PM10 forecasting model using machine learning. Journal of the Korean Data and Information Science Society. 34(5). 763–773. 1 indexed citations

Kim, Sahm, et al.. (2022). A study on frost prediction model using machine learning. Korean Journal of Applied Statistics. 35(4). 543–552. 2 indexed citations

Kim, Jong‐Min, et al.. (2022). Frost Forecasting considering Geographical Characteristics. Advances in Meteorology. 2022. 1–12. 2 indexed citations

Kim, Yunsun & Sahm Kim. (2021). Forecasting Charging Demand of Electric Vehicles Using Time-Series Models. Energies. 14(5). 1487–1487. 75 indexed citations

Kim, Yunsun & Sahm Kim. (2021). Electricity Load and Internet Traffic Forecasting Using Vector Autoregressive Models. Mathematics. 9(18). 2347–2347. 2 indexed citations

Lee, Jin‐Young & Sahm Kim. (2020). Time series clustering for AMI data in household smart grid. Korean Journal of Applied Statistics. 33(6). 791–804. 1 indexed citations

Kim, Sahm, et al.. (2020). Time Series Clustering of Electricity Demand for Industrial Areas on Smart Grid. Energies. 13(9). 2377–2377. 7 indexed citations

Lee, Jin‐Young & Sahm Kim. (2019). Forecasting daily peak load by time series model with temperature and special days effect. Korean Journal of Applied Statistics. 32(1). 161–171. 3 indexed citations

10.

Kim, Sahm, et al.. (2019). Short term electricity load forecasting for institutional buildings. Energy Reports. 5. 1270–1280. 102 indexed citations

11.

Kim, Sahm, et al.. (2018). Solar radiation forecasting by time series models. Korean Journal of Applied Statistics. 31(6). 785–799.

12.

Kim, Sahm, et al.. (2018). A study on solar energy forecasting based on time series models. Korean Journal of Applied Statistics. 31(1). 139–153. 3 indexed citations

13.

Kim, Sahm, et al.. (2018). A study on electricity demand forecasting for electric vehicles in KOREA. Journal of the Korean Data and Information Science Society. 29(5). 1137–1153. 3 indexed citations

14.

Kim, Sahm. (2017). A study on solar irradiance forecasting with weather variables. Korean Journal of Applied Statistics. 30(6). 1005–1013. 4 indexed citations

15.

Kim, Sahm, et al.. (2016). A study on electricity demand forecasting based on time series clustering in smart grid. Korean Journal of Applied Statistics. 29(1). 193–203. 2 indexed citations

16.

Kim, Sahm, et al.. (2015). A Study on the Comparison of Electricity Forecasting Models: Korea and China. Communications for Statistical Applications and Methods. 22(6). 675–683. 2 indexed citations

17.

Kim, Sahm, et al.. (2014). A Study on Demand Forecasting for KTX Passengers by using Time Series Models. Korean Journal of Applied Statistics. 27(7). 1257–1268. 1 indexed citations

18.

Kim, Sahm & Ju Hyoung Lee. (2011). A Study on the Seasonal Effects of the Tourism Demand Forecasting Models. Korean Journal of Applied Statistics. 24(1). 93–102. 1 indexed citations

19.

Kim, Sahm, et al.. (2009). Analyzing financial time series data using the GARCH model. 20(3). 475–483. 1 indexed citations

20.

Jung, Jae-Yoon, et al.. (2009). A Study on Air Demand Forecasting Using Multivariate Time Series Models. Korean Journal of Applied Statistics. 22(5). 1007–1017. 6 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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