Namhyoung Kim

402 citations
23 papers · 274 indexed · h-index 9
Topics
Stochastic processes and financial applications (5 papers)Financial Risk and Volatility Modeling (5 papers)Sentiment Analysis and Opinion Mining (2 papers)
Partner nations
South KoreaUnited States

In The Last Decade

Namhyoung Kim

20 papers receiving 252 citations

Peers

Namhyoung Kim
Comparison fields: 5 of 92
  • Finance 58
  • Artificial Intelligence 56
  • Management Science and Operations Research 48
  • Electrical and Electronic Engineering 39
  • Economics and Econometrics 30
Replace Dionisios N. Sotiropoulos with:
Dionisios N. Sotiropoulos Greece
Milija Suknović Serbia
Angelika Kokkinaki Cyprus
Juram Kim South Korea
Omar Bencharef Morocco
Nazeeh Ghatasheh Jordan
Eric Wang Canada
Terry Harris United Kingdom
Hesham Abusaimeh Jordan
Ali Kakhbod United States
Namhyoung Kim relative to Dionisios N. Sotiropoulos Greece Dionisios N. Sotiropoulos's profile →
Citations per field
00.5×10×13×
Dionisios N. Sotiropoulos · 1×
Citations per year

Countries citing papers authored by Namhyoung Kim

Since Specialization
Citations

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

Fields of papers citing papers by Namhyoung Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Namhyoung Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Namhyoung Kim. A scholar is included among the top collaborators of Namhyoung 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 Namhyoung Kim. Namhyoung Kim 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
#WorkIndexed citations
1 1
2 0
3 1
4 1
5 61
6 9
7 1
8 9
9 2
10 28
11 11
12 61
13 7
14 2
15 22
16 14
17
A Study on Service Design Education Trends
1
18 5
19
Model Averaging Methods for Estimating Implied and Local Volatility Surfaces
5
20 5

About Namhyoung Kim

Namhyoung Kim is a scholar working on Finance, Marketing and General Social Sciences, having authored 23 papers that have together received 274 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (5 papers), Financial Risk and Volatility Modeling (5 papers) and Sentiment Analysis and Opinion Mining (2 papers). The work is most often cited by research in Health Informatics (11 citations), Finance (58 citations) and Computer Science Applications (27 citations). Namhyoung Kim has collaborated with scholars based in South Korea and United States. Frequent co-authors include Hyejin Park, Jaewook Lee, Kyu-Hwan Jung, Jaewook Lee, Jaewook Lee, Yong Seog Kim, Jae‐Wook Lee, Kuk Hui Son, Sanghyo Kim and Jeong Ho An. Their work appears in journals such as Expert Systems with Applications, Pattern Recognition and Sustainability.

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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