Wanmo Kang
- Finance top 5%
- Management Science and Operations Research top 5%
- Economics and Econometrics top 10%
- Management Information Systems top 10%
- Marketing top 10%
- Co-authors
- Paul GlassermanPerwez ShahabuddinGarud IyengarWoonghee Tim HuhGuillermo GallegoRobert L. PhillipsGanesh JanakiramanMarco Bijvank
- Topics
- Credit Risk and Financial Regulations (5 papers)Risk and Portfolio Optimization (4 papers)Stochastic processes and financial applications (4 papers)
- Partner nations
- South KoreaUnited StatesCanada
In The Last Decade
Wanmo Kang
30 papers receiving 427 citations
Peers
Comparison fields: 5 of 69
- Finance 191
- Management Science and Operations Research 133
- Economics and Econometrics 100
- Management Information Systems 86
- Marketing 68
Countries citing papers authored by Wanmo Kang
This map shows the geographic impact of Wanmo Kang'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 Wanmo Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wanmo Kang more than expected).
Fields of papers citing papers by Wanmo Kang
This network shows the impact of papers produced by Wanmo Kang. 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 Wanmo Kang. The network helps show where Wanmo Kang may publish in the future.
Co-authorship network of co-authors of Wanmo Kang
This figure shows the co-authorship network connecting the top 25 collaborators of Wanmo Kang. A scholar is included among the top collaborators of Wanmo Kang 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 Wanmo Kang. Wanmo Kang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 20 | |
| 5 | 4 | |
| 6 | Directional Analysis of Stochastic Gradient Descent via von Mises-Fisher Distributions in Deep Learning | 2 |
| 7 | 0 | |
| 8 | 22 | |
| 9 | 9 | |
| 10 | 7 | |
| 11 | 2 | |
| 12 | 4 | |
| 13 | 8 | |
| 14 | Denoising Monte Carlo Sensitivity Estimates | 1 |
| 15 | Fairing the Gamma: An Engineering Approach to Sensitivity Estimation | 1 |
| 16 | 0 | |
| 17 | 50 | |
| 18 | Experimental study of self-sustained oscillations in low Mach number turbulent cavity flows | 2 |
| 19 | 61 | |
| 20 | CORC Technical Report TR-2003-02 Inverse conic programming and applications | 1 |
About Wanmo Kang
Wanmo Kang is a scholar working on Finance, Management Science and Operations Research and Numerical Analysis, having authored 35 papers that have together received 449 indexed citations. Recurring topics across this work include Credit Risk and Financial Regulations (5 papers), Risk and Portfolio Optimization (4 papers) and Stochastic processes and financial applications (4 papers). The work is most often cited by research in Finance (191 citations), Management Science and Operations Research (133 citations) and Management Information Systems (86 citations). Wanmo Kang has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Paul Glasserman, Perwez Shahabuddin, Garud Iyengar, Woonghee Tim Huh, Guillermo Gallego, Robert L. Phillips, Ganesh Janakiraman, Marco Bijvank, Kyoung-Kuk Kim and Il‐Chul Moon. Their work appears in journals such as Operations Research, Pattern Recognition Letters and Mathematics of Operations Research.
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.